1
|
Mace SE, Baugh C, Pena ME, Takla R. A comparison of magnetocardiography with noninvasive cardiac testing in the evaluation of patients with chest pain. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2025; 54:100541. [PMID: 40276544 PMCID: PMC12020884 DOI: 10.1016/j.ahjo.2025.100541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 02/06/2025] [Accepted: 04/04/2025] [Indexed: 04/26/2025]
Abstract
Objectives Chest pain is a common complaint of outpatients and emergency department patients. These patients are often referred for noninvasive cardiac imaging (NCI). Problems with NCI include limited availability, lengthy test delays, test duration, radiation exposure, adverse events, NPO (holding medications, caffeine/food/liquids/tobacco), exercise requirement, limitations for certain populations, inability to assess for ischemia with no obstructive coronary artery disease (INOCA), contrast/medication/needlestick-intravenous (IV) line needed.Magnetocardiography (MCG) advantages include faster, easier test administration, radiation avoidance, less resource utilization, safer, no needlestick/IV requirement, no NPO for caffeine/food/liquids/tobacco, and no holding medications. By avoiding medications and/or exercise, MCG avoids risk of provoking myocardial injury and dangerous events (arrhythmias). No contrast or pharmacologic agents are needed with MCG, eliminating side effects/complications: tissue necrosis from extravasation, contrast-induced nephropathy, allergic reactions including life threatening anaphylaxis. Design MCG comparison with NCI: exercise stress test, stress echo, dobutamine stress echocardiogram, myocardial perfusion imaging: single photon emission computed tomography (SPECT) or positron emission tomography (PET), cardiac magnetic resonance imaging (cMRI), coronary computed tomography angiography (CCTA). Outcome measures Literature review: NCI versus MCG. Conclusion MCG is a rapid, safe, effective, painless and radiation-free test, does not require contrast/medication administration. MCG by avoiding provocative medications and/or exercise eliminates the risk of provoking myocardial injury and causing dangerous events such as arrhythmias. MCG avoids testing delays, has higher patient satisfaction, no NPO requirement, no holding medications or caffeine/food/liquids/tobacco, with similar sensitivity and specificity. Additional clinical research is needed to validate its utility. MCG may be a complementary modality alongside current NCI.
Collapse
Affiliation(s)
- Sharon E. Mace
- Cleveland Clinic, Department of Emergency Medicine, Cleveland, OH, USA
- Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, Department of Emergency Medicine, Cleveland, OH, USA
| | - Christopher Baugh
- Brigham and Women's Hospital, Department of Emergency Medicine, Boston, MA, USA
- Harvard Medical School, Department of Emergency Medicine, Boston, MA, USA
| | - Margarita E. Pena
- Henry Ford St. John Hospital, Department of Emergency Medicine, Detroit, MI, USA
- Wayne State University, Department of Emergency Medicine, Detroit, MI, USA
| | - Robert Takla
- Henry Ford St. John Hospital, Department of Emergency Medicine, Detroit, MI, USA
- Wayne State University, Department of Emergency Medicine, Detroit, MI, USA
| |
Collapse
|
2
|
Guerra MCDMD, Rezende AGDS, Magalhães TA, Chalela WA, Uchida AH, Fonseca RA, Heringer Filho N, Beuther J, Garcia G, Santos ECLD, Montarroyos UR, Cintra RÁ, Ramires JAF, Rochitte CE. Detection and Location of Myocardial Infarction Using Electrocardiogram: Validation by Cardiovascular Magnetic Resonance Imaging. Arq Bras Cardiol 2025; 122:e20240309. [PMID: 40366968 DOI: 10.36660/abc.20240309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 01/15/2025] [Indexed: 05/16/2025] Open
Abstract
BACKGROUND In the assessment of ischemic heart disease, cardiac magnetic resonance (CMR) is considered the gold standard for detecting and locating myocardial infarction (MI), but electrocardiogram (ECG) is less expensive and more widely available. Recognition of MI on ECG outside the acute phase is challenging; Q waves are absent in a significant proportion of patients and may reduce or disappear over time. Although ECG is widely used in the initial assessment of previous infarction, studies to validate ECG using CMR as a reference in the context of chronic coronary disease are limited. OBJECTIVES To evaluate the diagnostic performance of ECG in detecting and locating CMR-defined MI. METHODS This study included 352 individuals who underwent CMR and ECG, 241 patients with previous MI confirmed by CMR and 111 controls with normal CMR. Their ECG tracings were analyzed by 2 observers, who were blinded to the CMR, for detection and location of MI following to the Fourth Brazilian Society of Cardiology Guidelines on the Analysis and Issuance of Electrocardiographic Reports. The significance level adopted was 5% (p < 0.05). RESULTS ECG showed good performance for detecting previous MI, with sensitivity of 69.3% (64.5% to 74.1%), specificity of 99.1% (98.1% to 100%), and accuracy of 78.7% (74.4% to 83.0%). However, in locating MI in accordance with CMR, its accuracy was unsatisfactory. CONCLUSIONS When compared to CMR, ECG was shown to be a method with good accuracy for detecting previous MI, but not for defining its location.
Collapse
Affiliation(s)
| | | | - Tiago Augusto Magalhães
- Complexo Hospital de Clínicas da Universidade Federal do Paraná (CHC-UFPR), Curitiba, PR - Brasil
- Hospital do Coração, São Paulo, SP - Brasil
| | - William Azem Chalela
- Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil
| | | | - Rafael Almeida Fonseca
- Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil
| | - Nevelton Heringer Filho
- Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil
| | - Jürgen Beuther
- Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil
| | - Guilherme Garcia
- Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil
| | | | | | | | - José Antônio Franchine Ramires
- Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil
| | - Carlos Eduardo Rochitte
- Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil
| |
Collapse
|
3
|
Zhao M, Niu X, Bai L, Chen Z, Zhao J, Chen F, Zhang Y, Yang N, Bai M. Application of Myocardial Salvage Index as a Clinical Endpoint: Assessment Methods and Future Prospects. J Magn Reson Imaging 2025; 61:2033-2050. [PMID: 39304527 DOI: 10.1002/jmri.29607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/08/2024] [Accepted: 08/28/2024] [Indexed: 09/22/2024] Open
Abstract
In patients with acute myocardial infarction (AMI), traditional clinical endpoints used to assess drug efficacy and prognosis include infarct size (IS), incidence of heart failure, and mortality rates. Although these metrics are commonly employed to evaluate outcomes in AMI patients, their utility is limited in small-scale studies. The introduction of the myocardial salvage index (MSI) reduces variability in assessments across multiple dimensions, thereby enhancing the sensitivity of outcome measures and reducing the required sample size. Moreover, MSI is increasingly utilized to evaluate drug efficacy, prognosis, and risk stratification in AMI patients. Although a variety of methodologies for measuring the MSI are currently available, the incorporation of these methods as clinical endpoints remains limited. In the clinical application of cardioprotective strategies, it is recommended that MSI be evaluated using late gadolinium enhancement measured along the endocardial surface length combined with IS in cardiac magnetic resonance. In dynamic single-photon emission computed tomography, an assessment of MSI using methods based on abnormalities in myocardial wall thickening combined with perfusion anomalies is advocated. This review comprehensively outlines the principles, advantages, and limitations of different MSI assessment methods and discusses the prospects and challenges of MSI in cardiac protective therapies. Additionally, we summarize recommended strategies for employing MSI as a clinical surrogate endpoint in various clinical scenarios, providing direction for future clinical practice and research. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 4.
Collapse
Affiliation(s)
- Maomao Zhao
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Xiaowei Niu
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Lu Bai
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zixian Chen
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Jing Zhao
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Fengmei Chen
- Department of Nuclear Medicine, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yinchang Zhang
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou, China
| | - Na Yang
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Ming Bai
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou, China
| |
Collapse
|
4
|
Rimskaya E, Aparina O, Stukalova O, Kormilitsyn S, Mironova N, Chumachenko P, Ternovoy S, Golitsyn S. Relationship between myocardial fibrosis and left bundle branch block. Does it exist? Cardiovasc Pathol 2025; 75:107713. [PMID: 39746621 DOI: 10.1016/j.carpath.2024.107713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 12/04/2024] [Accepted: 12/30/2024] [Indexed: 01/04/2025] Open
Abstract
AIM to assess the relation of focal and diffuse left ventricular (LV) fibrosis to left bundle branch block (LBBB). MATERIALS AND METHODS 60 patients with dilated cardiomyopathy and LBBB (DCM-LBBB), 50 DCM-nonLBBB patients, 15 patients with LBBB and structurally normal heart (idiopathic LBBB) and 10 healthy volunteers (HV) underwent cardiovascular magnetic resonance (CMR) with late gadolinium enhancement (LGE). LGE LV images were post-proceeded for core scar (CS) and gray zone (GZ) calculation. Diffuse LV fibrosis was estimated on LGE-CMR images with the diffuse intensity ratio (DIR). Endomyocardial biopsy (EMB) was performed in 15(24.6 %) DCM-LBBB and 16 (32 %) non-LBBB DCM patients and allowed the quantification of collagen volume fraction (CVF). RESULTS The percentage of CVF correlated with the DIR value in the same segment (r = 0.66, p < 0.001). The value of CVF in EMB and frequency of LGE in both DCM groups was comparable (p = 0.8). In DCM-nonLBBB patients the percentage of CS was significantly higher (4.0[1.6; 11.7]% versus 1.4[0.1;8.5]% in DCM-LBBB patients, p = 0.047), whereas percentage of GZ and total fibrosis in both DCM groups was comparable. DIR value was higher in patients with idiopathic LBBB than in HV (0.54±0.09 versus 0.34±0.1, р<0,001). CONCLUSION Neither focal nor interstitial fibrosis is associated with LBBB in DCM patients. Diffuse inflammation in DCM-LBBB patients may contribute to the progression of systolic dysfunction but is not a cause of LBBB. The increased value of interstitial fibrosis in patients with idiopathic LBBB may reflect latent diffuse process in myocardium inexorably leading to DCM development.
Collapse
Affiliation(s)
- Elena Rimskaya
- Chazov National Medical Research Center of Cardiology 121552, Academician Chazov str., 15a, Moscow, Russia.
| | - Olga Aparina
- Chazov National Medical Research Center of Cardiology 121552, Academician Chazov str., 15a, Moscow, Russia
| | - Olga Stukalova
- Chazov National Medical Research Center of Cardiology 121552, Academician Chazov str., 15a, Moscow, Russia
| | | | - Nataliia Mironova
- Chazov National Medical Research Center of Cardiology 121552, Academician Chazov str., 15a, Moscow, Russia
| | - Petr Chumachenko
- Chazov National Medical Research Center of Cardiology 121552, Academician Chazov str., 15a, Moscow, Russia
| | - Sergey Ternovoy
- Chazov National Medical Research Center of Cardiology 121552, Academician Chazov str., 15a, Moscow, Russia; I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Sergey Golitsyn
- Chazov National Medical Research Center of Cardiology 121552, Academician Chazov str., 15a, Moscow, Russia
| |
Collapse
|
5
|
Dushay J, Rickers ES, Wang E, Gilman J, Zhang Y, Blankstein R, Gervino EV, Jerosch‐Herold M, Veves A. Effects of Age and Sex on Systemic Inflammation and Cardiometabolic Function in Individuals With Type 2 Diabetes. J Am Heart Assoc 2025; 14:e037863. [PMID: 39846296 PMCID: PMC12074762 DOI: 10.1161/jaha.124.037863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Accepted: 12/05/2024] [Indexed: 01/24/2025]
Abstract
BACKGROUND Systemic inflammation, aging, and type 2 diabetes (T2D) lead to varying degrees of cardiovascular dysfunction and impaired aerobic exercise capacity. This study evaluates the impact of inflammation and sex differences on coronary and peripheral vascular function and exercise capacity in older individuals with and without T2D. METHODS Older individuals (aged≥65 years) underwent biochemical and tissue inflammatory phenotyping, cardiopulmonary exercise testing, cardiovascular magnetic resonance imaging, and vascular reactivity testing. Correlation and regression analyses determined the effects of systemic inflammation, older age, and sex on cardiovascular health, stratified by T2D status. RESULTS For the 133 recruited individuals (44% women; median age, 71±7 years, 41% with T2D), the presence of T2D most significantly increased the white blood cell count (P=0.004; P.adj.=0.140) among markers of systemic inflammation. White blood cell count was comparable in men and women. Hyperemic myocardial blood flow and flow-mediated and flow-independent nitroglycerin-induced brachial artery dilation were significantly impaired in men but not women with T2D. Peak oxygen consumption during exercise was lower with T2D (P=0.021), and overall reduced in women compared with men (P=0.002). Across all participants, both peak oxygen consumption during exercise and hyperemic myocardial blood flow were significantly impaired with increased white blood cell count. Women showed more adverse myocardial remodeling assessed by extracellular volume than men (P=0.008), independently of T2D status. CONCLUSIONS The pathophysiological manifestations of T2D on vascular function and aerobic exercise capacity are distinct in older men and women, and this may reflect underlying differences in vascular and myocardial aging in the presence of T2D.
Collapse
Affiliation(s)
- Jody Dushay
- Division of EndocrinologyBeth Israel Deaconess Medical Center, Harvard Medical SchoolBostonMA
| | - Eva S. Rickers
- Department of RadiologyBrigham and Women’s Hospital, Harvard Medical SchoolBostonMA
- Medical FacultyUniversity of Cologne, and Department of Neurology, University Hospital CologneCologneGermany
| | - Enya Wang
- Rongxiang Xu Center for Regenerative Therapeutics, Microcirculation Lab, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMA
| | - Jessica Gilman
- Rongxiang Xu Center for Regenerative Therapeutics, Microcirculation Lab, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMA
| | - Ying Zhang
- Rongxiang Xu Center for Regenerative Therapeutics, Microcirculation Lab, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMA
- Currently at Department of EndocrinologyThe Third People’s Hospital of ShenzhenShenzhenGuangdongChina
| | - Ron Blankstein
- Division of CardiologyBrigham and Women’s Hospital, Harvard Medical SchoolBostonMA
| | - Ernest V. Gervino
- Division of CardiologyBeth Israel Deaconess Medical Center, Harvard Medical SchoolBostonMA
| | | | - Aristidis Veves
- Rongxiang Xu Center for Regenerative Therapeutics, Microcirculation Lab, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMA
| |
Collapse
|
6
|
Yan C, Chang Y, FangWu, Yang M, Dai S, Zhang J, Zhang Y. Evaluation of the prognostic value of lateral MAPSE in patients with suspected coronary artery disease. IJC HEART & VASCULATURE 2025; 56:101567. [PMID: 39691829 PMCID: PMC11650132 DOI: 10.1016/j.ijcha.2024.101567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 11/16/2024] [Accepted: 11/20/2024] [Indexed: 12/19/2024]
Abstract
Objectives To evaluate the prognostic value of lateral mitral annular plane systolic excursion (MAPSE) in the prediction of major adverse cardiology events (MACE) in patients with suspected coronary artery disease (CAD). Methods 233 consecutive patients were enrolled with suspected CAD from October 2012 to September 2013 and performed contrast-enhanced cardiac magnetic resonance (CMR) and two-dimensional echocardiogram studies no later than 72 h after admission. CMR imaging protocol included 4-chamber cine(cine-CMR), cardiovascular magnetic resonance angiography (CMRA) and late gadolinium enhancement (LGE). The primary endpoint is the time of first occurrence of a MACE The independent association between lateral MAPSE and MACE was evaluated by Kaplan-Meier analysis and multivariable Cox regression analysis. C statistic and net reclassification improvement (NRI) were used to evaluate the prognostic value of lateral MAPSE in MACE. Results Forty-five MACE occurred during an average follow-up of 9.2 years. Patients with lateral MAPSE<9.885 mm experienced a significantly higher incidence of MACE than patients with lateral MAPSE ≥ 9.885 mm (P<0.001). After adjustment for established univariate predictors (age, diabetes, hypertension, hypercholesterolemia, transmural myocardial infarction), lateral MAPSE remained a significant independent predictor of MACE (HR = 1.373; P = 0.020). The incorporation of lateral MAPSE into the risk model resulted in significant improvement in C statistic (increasing from 0.668 to 0.844; P = 0.005). NRI improvement was 0.33 (P<0.001). Conclusions lateral MAPSE derived from cine-CMR is an independent predictor of MACE, and improve risk reclassification beyond traditional clinical and CMR risk factors in patients with suspected coronary disease.
Collapse
Affiliation(s)
- Chengxi Yan
- Department of Radiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Ying Chang
- Department of Ultrasound, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - FangWu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Minglei Yang
- Beijing Wandong Medical Technology Ltd., Beijing, China
| | | | - Jiannan Zhang
- Department of Radiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yuelang Zhang
- Department of Radiology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| |
Collapse
|
7
|
Cicek V, Bagci U. AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarction. Front Cardiovasc Med 2024; 11:1457498. [PMID: 39639975 PMCID: PMC11617551 DOI: 10.3389/fcvm.2024.1457498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Accepted: 10/29/2024] [Indexed: 12/07/2024] Open
Abstract
Cardiovascular magnetic (CMR) resonance is a versatile tool for diagnosing cardiovascular diseases. While gadolinium-based contrast agents are the gold standard for identifying myocardial infarction (MI), their use is limited in patients with allergies or impaired kidney function, affecting a significant portion of the MI population. This has led to a growing interest in developing artificial intelligence (AI)-powered CMR techniques for MI detection without contrast agents. This mini-review focuses on recent advancements in AI-powered contrast-free CMR for MI detection. We explore various AI models employed in the literature and delve into their strengths and limitations, paving the way for a comprehensive understanding of this evolving field.
Collapse
Affiliation(s)
- Vedat Cicek
- Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, Chicago, IL, United States
| | | |
Collapse
|
8
|
Magalhães TA, Carneiro ACDC, Moreira VDM, Trad HS, Lopes MMU, Cerci RJ, Nacif MS, Schvartzman PR, Chagas ACP, Costa IBSDS, Schmidt A, Shiozaki AA, Montenegro ST, Piegas LS, Zapparoli M, Nicolau JC, Fernandes F, Hadlich MS, Ghorayeb N, Mesquita ET, Gonçalves LFG, Ramires FJA, Fernandes JDL, Schwartzmann PV, Rassi S, Torreão JA, Mateos JCP, Beck-da-Silva L, Silva MC, Liberato G, Oliveira GMMD, Feitosa Filho GS, Carvalho HDSMD, Markman Filho B, Rocha RPDS, Azevedo Filho CFD, Taratsoutchi F, Coelho-Filho OR, Kalil Filho R, Hajjar LA, Ishikawa WY, Melo CA, Jatene IB, Albuquerque ASD, Rimkus CDM, Silva PSDD, Vieira TDR, Jatene FB, Azevedo GSAAD, Santos RD, Monte GU, Ramires JAF, Bittencourt MS, Avezum A, Silva LSD, Abizaid A, Gottlieb I, Precoma DB, Szarf G, Sousa ACS, Pinto IMF, Medeiros FDM, Caramelli B, Parga Filho JR, Santos TSGD, Prazeres CEED, Lopes MACQ, Avila LFRD, Scanavacca MI, Gowdak LHW, Barberato SH, Nomura CH, Rochitte CE. Cardiovascular Computed Tomography and Magnetic Resonance Imaging Guideline of the Brazilian Society of Cardiology and the Brazilian College of Radiology - 2024. Arq Bras Cardiol 2024; 121:e20240608. [PMID: 39475988 DOI: 10.36660/abc.20240608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2025] Open
Affiliation(s)
- Tiago Augusto Magalhães
- Complexo Hospital de Clínicas da Universidade Federal do Paraná (CHC-UFPR), Curitiba, PR - Brasil
- Hospital do Coração (HCOR), São Paulo, SP - Brasil
- Hospital Sírio Libanês, SP, São Paulo, SP - Brasil
| | | | - Valéria de Melo Moreira
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | | | - Marly Maria Uellendahl Lopes
- Universidade Federal de São Paulo (UNIFESP), São Paulo, SP - Brasil
- DASA - Diagnósticos da América S/A, São Paulo, SP - Brasil
| | | | - Marcelo Souto Nacif
- Universidade Federal Fluminense, Niterói, RJ - Brasil
- Hospital Universitário Antonio Pedro, Niterói, RJ - Brasil
| | | | - Antônio Carlos Palandrini Chagas
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
- Faculdade de Medicina do ABC, Santo André, SP - Brasil
| | | | - André Schmidt
- Universidade de São Paulo (USP), Ribeirão Preto, SP - Brasil
| | - Afonso Akio Shiozaki
- ND Núcleo Diagnóstico, Maringá, PR - Brasil
- Ômega Diagnóstico, Maringá, PR - Brasil
- Hospital Paraná, Maringá, PR - Brasil
| | | | | | - Marcelo Zapparoli
- Quanta Diagnóstico por Imagem, Curitiba, PR - Brasil
- DAPI, Curitiba, PR - Brasil
| | - José Carlos Nicolau
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | - Fabio Fernandes
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | - Marcelo Souza Hadlich
- Fleury Medicina e Saúde, Rio de Janeiro, RJ - Brasil
- Rede D'Or RJ, Rio de Janeiro, RJ - Brasil
- Unimed, Rio de Janeiro, RJ - Brasil
- Instituto Nacional de Cardiologia (INC), Rio de Janeiro, RJ - Brasil
| | - Nabil Ghorayeb
- Instituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil
- Inspirali Educação, São Paulo, SP - Brasil
- Anhanguera Educacional, São Paulo, SP - Brasil
| | | | - Luiz Flávio Galvão Gonçalves
- Hospital São Lucas, Rede D'Or SE, Aracaju, SE - Brasil
- Hospital Universitário da Universidade Federal de Sergipe, Aracaju, SE - Brasil
- Clínica Climedi, Aracaju, SE - Brasil
| | - Felix José Alvarez Ramires
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | | | - Pedro Vellosa Schwartzmann
- Hospital Unimed Ribeirão Preto, Ribeirão Preto, SP - Brasil
- Centro Avançado de Pesquisa, Ensino e Diagnóstico (CAPED), Ribeirão Preto, SP - Brasil
| | | | | | - José Carlos Pachón Mateos
- Hospital do Coração (HCOR), São Paulo, SP - Brasil
- Hospital Sírio Libanês, SP, São Paulo, SP - Brasil
| | - Luiz Beck-da-Silva
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS - Brasil
| | | | - Gabriela Liberato
- Hospital Sírio Libanês, SP, São Paulo, SP - Brasil
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | | | | | - Hilka Dos Santos Moraes de Carvalho
- PROCAPE - Universidade de Pernambuco, Recife, PE - Brasil
- Hospital das Clínicas de Pernambuco da Universidade Federal de Pernambuco (UFPE), Recife, PE - Brasil
- Real Hospital Português de Pernambuco, Recife, PE - Brasil
| | - Brivaldo Markman Filho
- Hospital das Clínicas de Pernambuco da Universidade Federal de Pernambuco (UFPE), Recife, PE - Brasil
| | | | | | - Flávio Taratsoutchi
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | | | - Roberto Kalil Filho
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | | | - Walther Yoshiharu Ishikawa
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | - Cíntia Acosta Melo
- Hospital Beneficência Portuguesa de São Paulo, São Paulo, SP - Brasil
- Hospital Infantil Sabará, São Paulo, SP - Brasil
| | | | | | - Carolina de Medeiros Rimkus
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
- Instituto D'Or de Pesquisa e Ensino (IDOR), São Paulo SP - Brasil
| | - Paulo Savoia Dias da Silva
- Fleury Medicina e Saúde, Rio de Janeiro, RJ - Brasil
- University of Iowa Hospitals and Clinics, Iowa City - EUA
| | - Thiago Dieb Ristum Vieira
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | - Fabio Biscegli Jatene
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | - Guilherme Sant Anna Antunes de Azevedo
- ECOMAX, Blumenau, SC - Brasil
- Hospital Unimed Blumenau, Blumenau, SC - Brasil
- Hospital São José de Jaraguá do Sul, Blumenau, SC - Brasil
- Cliniimagem Criciúma, Blumenau, SC - Brasil
| | - Raul D Santos
- Hospital Sírio Libanês, SP, São Paulo, SP - Brasil
- Universidade de São Paulo (USP), Ribeirão Preto, SP - Brasil
| | | | - José Antonio Franchini Ramires
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | | | - Alvaro Avezum
- Hospital Alemão Oswaldo Cruz, São Paulo, SP - Brasil
| | | | | | - Ilan Gottlieb
- Fonte Imagem Medicina Diagnostica, Rio de Janeiro, RJ - Brasil
| | | | - Gilberto Szarf
- Universidade Federal de São Paulo (UNIFESP), São Paulo, SP - Brasil
| | - Antônio Carlos Sobral Sousa
- Universidade Federal de Sergipe, Aracaju, SE - Brasil
- Hospital São Lucas, Aracaju, SE - Brasil
- Rede D'Or de Aracaju, Aracaju, SE - Brasil
| | | | | | - Bruno Caramelli
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | - José Rodrigues Parga Filho
- Hospital Sírio Libanês, SP, São Paulo, SP - Brasil
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | | | | | | | | | - Mauricio Ibrahim Scanavacca
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
| | - Luis Henrique Wolff Gowdak
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
- Universidade de São Paulo (USP), Ribeirão Preto, SP - Brasil
| | - Silvio Henrique Barberato
- Quanta Diagnóstico por Imagem, Curitiba, PR - Brasil
- Cardioeco, Centro de Diagnóstico Cardiovascular, Curitiba, PR - Brasil
| | | | - Carlos Eduardo Rochitte
- Hospital do Coração (HCOR), São Paulo, SP - Brasil
- Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo SP - Brasil
- DASA - Diagnósticos da América S/A, São Paulo, SP - Brasil
| |
Collapse
|
9
|
Ammouri Z, Belkouchia S, Rezzouk I, Moussaoui S, Habbal R. Eosinophilic myocarditis: a diagnostic challenge and treatment dilemma-a case report. Eur Heart J Case Rep 2024; 8:ytae418. [PMID: 39399534 PMCID: PMC11467687 DOI: 10.1093/ehjcr/ytae418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/04/2024] [Accepted: 08/05/2024] [Indexed: 10/15/2024]
Abstract
Background Eosinophilic myocarditis, a rare and potentially life-threatening condition, can resemble acute coronary syndrome (ACS) and presents diagnostic difficulties. Case report We describe the case of a 32-year-old man initially admitted with ACS-like symptoms, but ultimately diagnosed with eosinophilic myocarditis. The patient presented with intense retrosternal chest pain, significant eosinophilia, and elevated cardiac enzymes. Despite clinical indications suggesting myocardial involvement, an endomyocardial biopsy was not performed due to the patient's reluctance. Non-invasive imaging and clinical findings led to the presumptive diagnosis of eosinophilic myocarditis. The patient was treated with high-dose corticosteroids and immunosuppressive therapy, resulting in clinical improvement. Discussion Our report highlights the importance of considering eosinophilic myocarditis and hypereosinophilic syndrome when evaluating patients with chest pain and hypereosinophilia. It emphasizes the subtleties of diagnosis and the critical need for early identification and appropriate treatment to improve prognosis in cases of eosinophilic myocarditis. This case underscores the diverse clinical manifestations of myocarditis and the essential need for a comprehensive diagnostic approach in the presence of chest pain and hypereosinophilia.
Collapse
Affiliation(s)
- Zaid Ammouri
- Department of Cardiology, Ibn Rochd University Hospital, Casablanca 20503, Morocco
| | - Sami Belkouchia
- Department of Cardiology, Ibn Rochd University Hospital, Casablanca 20503, Morocco
| | - Ibtissam Rezzouk
- Department of Cardiology, Ibn Rochd University Hospital, Casablanca 20503, Morocco
| | - Salma Moussaoui
- Department of Central Radiology, Ibn Rochd University Hospital, Casablanca, Morocco
| | - Rachida Habbal
- Department of Cardiology, Ibn Rochd University Hospital, Casablanca 20503, Morocco
| |
Collapse
|
10
|
De Silva K, Campbell T, Bennett RG, Anderson RD, Davey C, O'Donohue AK, Schindeler A, Turnbull S, Selvakumar D, Bhaskaran A, Kotake Y, Hsu CJ, Chong JJH, Kizana E, Kumar S. Whole-Heart Histological and Electroanatomic Assessment of Postinfarction Cardiac Magnetic Resonance Imaging Scar and Conducting Channels. Circ Arrhythm Electrophysiol 2024; 17:e012922. [PMID: 39193754 DOI: 10.1161/circep.124.012922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 08/07/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND Cardiac magnetic resonance imaging (CMR)-defined ventricular scar and anatomic conduction channels (CMR-CCs) offer promise in delineating ventricular tachycardia substrate. No studies have validated channels with coregistered histology, nor have they ascertained the histological characteristics of deceleration zones (DZs) within these channels. We aimed to validate CMR scar and CMR-CCs with whole-heart histology and electroanatomic mapping in a postinfarction model. METHODS Five sheep underwent anteroseptal infarction. CMR (116±20 days post infarct) was postprocessed using ADAS-3D, varying pixel intensity thresholds (5545, 6040, 6535, and 7030). DZs were identified by electroanatomic mapping (129±12 days post infarct). Explanted hearts were sectioned and stained with Picrosirius red, and whole-heart histopathologic shells were generated. Scar topography as well as percentage fibrosis, adiposity, and remaining viable myocardium within 3 mm histological biopsies and within CMR-CCs were determined. RESULTS Using the standard 6040 thresholding, CMR had 83.8% accuracy for identifying histological scar in the endocardium (κ, 0.666) and 61.4% in the epicardium (κ, 0.276). Thirty-seven CMR-CCs were identified by varying thresholding; 23 (62%) were unique. DZs colocalized to 19 of 23 (83%) CMR-CCs. Twenty (87%) CMR-CCs were histologically confirmed. Within-channel histological fibrosis did not differ by the presence of DZs (P=0.242). Within-channel histological adiposity was significantly higher at sites with versus without DZs (24.1% versus 8.3%; P<0.001). CONCLUSIONS Postprocessed CMR-derived scars and channels were validated by histology and electroanatomic mapping. Regions of CMR-CCs at sites of DZs had higher adiposity but similar fibrosis than regions without DZs, suggesting that lipomatous metaplasia may contribute to arrhythmogenicity of postinfarction scar.
Collapse
Affiliation(s)
- Kasun De Silva
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Timothy Campbell
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Richard G Bennett
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
- Division of Cardiology, University of British Columbia, Vancouver, Canada (R.G.B.)
| | - Robert D Anderson
- Department of Cardiology, Royal Melbourne Hospital, and Faculty of Medicine, Dentistry, and Health Science, University of Melbourne, Victoria, Australia (R.D.A.)
| | - Chris Davey
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Alexandra K O'Donohue
- Bioengineering and Molecular Medicine Laboratory, The Children's Hospital at Westmead and The Westmead Institute for Medical Research, New South Wales, Australia (A.K.O., A.S.)
- School of Chemical and Biomolecular Engineering, Faculty of Engineering, University of Sydney, New South Wales, Australia (A.K.O., A.S.)
| | - Aaron Schindeler
- Bioengineering and Molecular Medicine Laboratory, The Children's Hospital at Westmead and The Westmead Institute for Medical Research, New South Wales, Australia (A.K.O., A.S.)
| | - Samual Turnbull
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Dinesh Selvakumar
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Centre for Heart Research, The Westmead Institute for Medical Research, New South Wales, Australia (D.S., J.J.H.C., E.K.)
| | - Ashwin Bhaskaran
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Yasuhito Kotake
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| | - Chi-Jen Hsu
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
| | - James J H Chong
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Centre for Heart Research, The Westmead Institute for Medical Research, New South Wales, Australia (D.S., J.J.H.C., E.K.)
| | - Eddy Kizana
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Centre for Heart Research, The Westmead Institute for Medical Research, New South Wales, Australia (D.S., J.J.H.C., E.K.)
| | - Saurabh Kumar
- Department of Cardiology, Westmead Hospital, New South Wales, Australia (K.D.S., T.C., R.G.B., S.T., D.S., A.B., Y.K., C.-j.H., J.J.H.C., E.K., S.K.)
- Westmead Applied Research Centre, The University of Sydney, New South Wales, Australia (K.D.S., T.C., R.G.B., C.D., S.T., A.B., Y.K., S.K.)
| |
Collapse
|
11
|
Ueda J, Kurata H, Ota M, Yabata I, Itagaki K, Sawaya R, Murata C, Banura N, Nishida H, Saito S. Conditions for late gadolinium enhancement MRI in myocardial infarction model rats that better reflect microscopic tissue staining. Sci Rep 2024; 14:18308. [PMID: 39112681 PMCID: PMC11306602 DOI: 10.1038/s41598-024-69540-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 08/06/2024] [Indexed: 08/10/2024] Open
Abstract
Late gadolinium enhancement (LGE) is a widely used magnetic resonance imaging method for assessing cardiac disease. However, the relationship between different LGE signal thresholds and microscopic tissue staining images is unclear. In this study, we performed cardiovascular MRI on myocardial infarction (MI) model rats and evaluated the relationship between LGE with different signal thresholding methods and tissue staining images. We prepared 16 rats that underwent MRI 14-18 days following a surgery to create an MI model. We captured cine and LGE images of the cardiac short-axis and longitudinal two- and four-chamber views. The mean ± 2SD, ± 3SD, and ± 5SD of the pixel values in the non-infarcted area were defined as the LGE area. We compared areas of Sirius red staining, determined by the color tone, with their respective LGE areas at end-diastole and end-systole. We observed that the LGE area calculated as the mean ± 2SD of the non-infarcted area at end-diastole demonstrated a significant positive correlation with the area of Sirius red staining (Pearson's correlation coefficient in both: 0.81 [p < 0.01]). Therefore, the LGE area calculated as the mean ± 2SD of the non-infarcted area at end-diastole best reflected the MI area in tissue staining.
Collapse
Affiliation(s)
- Junpei Ueda
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Department of Radiological Sciences, Faculty of Health Sciences, Morinomiya University of Medical Sciences, Osaka, 559-8611, Japan
| | - Hayato Kurata
- ROHTO Pharmaceutical Co., Ltd, Kizugawa, Kyoto, 619-0216, Japan
| | - Miwa Ota
- ROHTO Pharmaceutical Co., Ltd, Kizugawa, Kyoto, 619-0216, Japan
| | - Isamu Yabata
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Division of Radiology, Department of Medical Technology, Osaka University Hospital, Osaka, 564-8565, Japan
| | - Koji Itagaki
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Division of Clinical Radiology Service, Kyoto University Hospital, Kyoto, 606-8507, Japan
| | - Reika Sawaya
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Division of Radiology, Department of Medical Technology, Osaka University Hospital, Osaka, 564-8565, Japan
| | - Chiharu Murata
- ROHTO Pharmaceutical Co., Ltd, Kizugawa, Kyoto, 619-0216, Japan
| | - Natsuo Banura
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Department of Advanced Medical Technologies, National Cardiovascular and Cerebral Research Center, Suita, Osaka, 564-8565, Japan
| | | | - Shigeyoshi Saito
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan.
- Department of Advanced Medical Technologies, National Cardiovascular and Cerebral Research Center, Suita, Osaka, 564-8565, Japan.
| |
Collapse
|
12
|
Li S, Wang Z, Fu W, Li F, Gu H, Cui N, Lin Y, Xie M, Yang Y. Left Ventricular Papillary Muscle: Anatomy, Pathophysiology, and Multimodal Evaluation. Diagnostics (Basel) 2024; 14:1270. [PMID: 38928685 PMCID: PMC11202998 DOI: 10.3390/diagnostics14121270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/04/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
As an integral part of the mitral valve apparatus, the left ventricle papillary muscle (PM) controls mitral valve closure during systole and participates in the ejection process during left ventricular systole. Mitral regurgitation (MR) is the most immediate and predominant result when the PM is structurally or functionally abnormal. However, dysfunction of the PM is easily underestimated or overlooked in clinical interventions for MR-related diseases. Therefore, adequate recognition of PM dysfunction and PM-derived MR is critical. In this review, we systematically describe the normal anatomical variations in the PM and the pathophysiology of PM dysfunction-related diseases and summarize the commonly used parameters and the advantages and disadvantages of various noninvasive imaging modalities for the structural and functional assessment of the PM.
Collapse
Affiliation(s)
- Shiying Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Zhen Wang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Wenpei Fu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Fangya Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Hui Gu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Nan Cui
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yixia Lin
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Mingxing Xie
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yali Yang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; (S.L.); (Z.W.); (W.F.); (F.L.); (H.G.); (N.C.); (Y.L.); (M.X.)
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| |
Collapse
|
13
|
Dushay J, Rickers ES, Wang E, Gilman J, Zhang Y, Blankstein R, Gervino EV, Jerosch-Herold M, Veves A. Effects of Age and Sex on Systemic Inflammation and Cardiometabolic Function in Individuals with Type 2 Diabetes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.08.24307092. [PMID: 38766042 PMCID: PMC11100929 DOI: 10.1101/2024.05.08.24307092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Objective Systemic inflammation, aging, and type 2 diabetes (T2DM) all contribute to the development of cardiovascular dysfunction and impaired aerobic exercise capacity but their interplay remains unclear. This study evaluates the impact of age, sex, and inflammation on coronary and peripheral vascular function and exercise capacity in elderly individuals with and without type 2 diabetes (T2DM). Research Design and Methods Elderly individuals (age ≥65 years) underwent biochemical and tissue inflammatory phenotyping, cardiopulmonary exercise testing (CPET), cardiovascular magnetic resonance (CMR) imaging, and vascular reactivity testing. Correlation and regression analyses determined the effects of systemic inflammation, older age, and sex on cardiovascular health, stratified by T2DM status. Results For the 133 recruited individuals (44% female; median age 71, IQR=7 years, 41% with T2DM) the presence of T2DM did not have an effect on most blood serum inflammatory markers and skin biopsies. Hyperemic myocardial blood flow (hMBF), flow-mediated, and flow-independent nitroglycerin induced brachial artery dilation were significantly impaired in males, but not females with T2DM. Peak VO2 was lower with T2DM (p=0.022), mostly because of the effect of T2DM in females. Females showed more adverse myocardial remodeling assessed by extracellular volume (p=0.008), independent of T2DM status. Conclusions Our findings suggest that the pathophysiological manifestations of T2DM on vascular function and aerobic exercise capacity are distinct in elderly males and females and this may reflect underlying differences in vascular and myocardial aging in the presence of T2DM.
Collapse
|
14
|
Cavus E, Schneider JN, di Carluccio E, Ziegler A, Haack A, Ojeda F, Chevalier C, Jahnke C, Riedl KA, Radunski UK, Twerenbold R, Kirchhof P, Blankenberg S, Adam G, Tahir E, Lund GK, Muellerleile K. Unrecognized myocardial scar by late-gadolinium-enhancement cardiovascular magnetic resonance: Insights from the population-based Hamburg City Health Study. J Cardiovasc Magn Reson 2024; 26:101008. [PMID: 38341145 PMCID: PMC10944257 DOI: 10.1016/j.jocmr.2024.101008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/19/2023] [Accepted: 02/03/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND The presence of myocardial scar is associated with poor prognosis in several underlying diseases. Late-gadolinium-enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging reveals clinically silent "unrecognized myocardial scar" (UMS), but the etiology of UMS often remains unclear. This population-based CMR study evaluated prevalence, localization, patterns, and risk factors of UMS. METHODS The study population consisted of 1064 consecutive Hamburg City Health Study participants without a history of coronary heart disease or myocarditis. UMS was assessed by standard-phase-sensitive-inversion-recovery LGE CMR. RESULTS Median age was 66 [quartiles 59, 71] years and 37% (388/1064) were females. UMS was detected in 244 (23%) participants. Twenty-five participants (10%) had ischemic, and 217 participants (89%) had non-ischemic scar patterns, predominantly involving the basal inferolateral left-ventricular (LV) myocardium (75%). Two participants (1%) had coincident ischemic and non-ischemic scar. The presence of any UMS was independently associated with LV ejection fraction (odds ratios (OR) per standard deviation (SD) 0.77 (confidence interval (CI) 0.65-0.90), p = 0.002) and LV mass (OR per SD 1.54 (CI 1.31-1.82), p < 0.001). Ischemic UMS was independently associated with LV ejection fraction (OR per SD 0.58 (CI 0.39-0.86), p = 0.007), LV mass (OR per SD 1.74 (CI 1.25-2.45), p = 0.001), and diabetes (OR 4.91 (CI 1.66-13.03), p = 0.002). Non-ischemic UMS was only independently associated with LV mass (OR per SD 1.44 (CI 1.24-1.69), p < 0.001). CONCLUSION UMS, in particular with a non-ischemic pattern, is frequent in individuals without known cardiac disease and predominantly involves the basal inferolateral LV myocardium. Presence of UMS is independently associated with a lower LVEF, a higher LV mass, and a history of diabetes.
Collapse
Affiliation(s)
- Ersin Cavus
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany; Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany.
| | - Jan N Schneider
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
| | - Eleonora di Carluccio
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany; Cardio-Care, Medizincampus Davos, Davos, Switzerland
| | - Andreas Ziegler
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany; Cardio-Care, Medizincampus Davos, Davos, Switzerland; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Alena Haack
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
| | - Francisco Ojeda
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
| | - Celeste Chevalier
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
| | - Charlotte Jahnke
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
| | - Katharina A Riedl
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany; Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany
| | - Ulf K Radunski
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany
| | - Raphael Twerenbold
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany; Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany; University Center of Cardiovascular Science, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Paulus Kirchhof
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany; Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany
| | - Stefan Blankenberg
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany; Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Enver Tahir
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Gunnar K Lund
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Kai Muellerleile
- Department of Cardiology, University Heart and Vascular Center Hamburg Eppendorf, Hamburg, Germany; Deutsches Zentrum für Herz-Kreislauf-Forschung e.V. (German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Germany, Hamburg, Germany
| |
Collapse
|
15
|
Engblom H, Ostenfeld E, Carlsson M, Åkesson J, Aletras AH, Xue H, Kellman P, Arheden H. Diagnostic confidence with quantitative cardiovascular magnetic resonance perfusion mapping increases with increased coverage of the left ventricle. J Cardiovasc Magn Reson 2024; 26:101007. [PMID: 38316344 PMCID: PMC11211224 DOI: 10.1016/j.jocmr.2024.101007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/14/2024] [Accepted: 01/30/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Quantitative cardiovascular magnetic resonance (CMR) first pass perfusion maps are conventionally acquired with 3 short-axis (SAX) views (basal, mid, and apical) in every heartbeat (3SAX/1RR). Thus, a significant part of the left ventricle (LV) myocardium, including the apex, is not covered. The aims of this study were 1) to investigate if perfusion maps acquired with 3 short-axis views sampled every other RR-interval (2RR) yield comparable quantitative measures of myocardial perfusion (MP) as 1RR and 2) to assess if acquiring 3 additional perfusion views (i.e., total of 6) every other RR-interval (2RR) increases diagnostic confidence. METHODS In 287 patients with suspected ischemic heart disease stress and rest MP were performed on clinical indication on a 1.5T MR scanner. Eighty-three patients were examined by acquiring 3 short-axis perfusion maps with 1RR sampling (3SAX/1RR); for which also 2RR maps were reconstructed. Additionally, in 103 patients 3 short-axis and 3 long-axis (LAX; 2-, 3, and 4-chamber view) perfusion maps were acquired using 2RR sampling (3SAX + 3LAX/2RR) and in 101 patients 6 short-axis perfusion maps using 2RR sampling (6SAX/2RR) were acquired. The diagnostic confidence for ruling in or out stress-induced ischemia was scored according to a Likert scale (certain ischemia [2 points], probably ischemia [1 point], uncertain [0 points], probably no ischemia [1 point], certain no ischemia [2 points]). RESULTS There was a strong correlation (R = 0.99) between 3SAX/1RR and 3SAX/2RR for global MP (mL/min/g). The diagnostic confidence score increased significantly when the number of perfusion views was increased from 3 to 6 (1.24 ± 0.68 vs 1.54 ± 0.64, p < 0.001 with similar increase for 3SAX+3LAX/2RR (1.29 ± 0.68 vs 1.55 ± 0.65, p < 0.001) and for 6SAX/2RR (1.19 ± 0.69 vs 1.53 ± 0.63, p < 0.001). CONCLUSION Quantitative perfusion mapping with 2RR sampling of data yields comparable perfusion values as 1RR sampling, allowing for the acquisition of additional views within the same perfusion scan. The diagnostic confidence for stress-induced ischemia increases when adding 3 additional views, short- or long axes, to the conventional 3 short-axis views. Thus, future development and clinical implementation of quantitative CMR perfusion should aim at increasing the LV coverage from the current standard using 3 short-axis views.
Collapse
Affiliation(s)
- Henrik Engblom
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden.
| | - Ellen Ostenfeld
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Marcus Carlsson
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Julius Åkesson
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Anthony H Aletras
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden; Laboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Hui Xue
- National Heart-Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Kellman
- National Heart-Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Håkan Arheden
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| |
Collapse
|
16
|
Gaudino M, Flather M, Capodanno D, Milojevic M, Bhatt DL, Biondi Zoccai G, Boden WE, Devereaux PJ, Doenst T, Farkouh M, Freemantle N, Fremes S, Puskas J, Landoni G, Lawton J, Myers PO, Redfors B, Sandner S. European Association of Cardio-Thoracic Surgery (EACTS) expert consensus statement on perioperative myocardial infarction after cardiac surgery. Eur J Cardiothorac Surg 2024; 65:ezad415. [PMID: 38420786 DOI: 10.1093/ejcts/ezad415] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/14/2023] [Accepted: 12/12/2023] [Indexed: 03/02/2024] Open
Abstract
Cardiac surgery may lead to myocardial damage and release of cardiac biomarkers through various mechanisms such as cardiac manipulation, systemic inflammation, myocardial hypoxia, cardioplegic arrest and ischaemia caused by coronary or graft occlusion. Defining perioperative myocardial infarction (PMI) after cardiac surgery presents challenges, and the association between the current PMI definitions and postoperative outcomes remains uncertain. To address these challenges, the European Association of Cardio-Thoracic Surgery (EACTS) facilitated collaboration among a multidisciplinary group to evaluate the existing evidence on the mechanisms, diagnosis and prognostic implications of PMI after cardiac surgery. The review found that the postoperative troponin value thresholds associated with an increased risk of mortality are markedly higher than those proposed by all the current definitions of PMI. Additionally, it was found that large postoperative increases in cardiac biomarkers are prognostically relevant even in absence of additional supportive signs of ischaemia. A new algorithm for PMI detection after cardiac surgery was also proposed, and a consensus was reached within the group that establishing a prognostically relevant definition of PMI is critically needed in the cardiovascular field and that PMI should be included in the primary composite outcome of coronary intervention trials.
Collapse
Affiliation(s)
- Mario Gaudino
- Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Marcus Flather
- Norwich Medical School, University of East Anglia, Norwich, UK
- Department of Medicine, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Davide Capodanno
- Azienda Ospedaliero-Universitaria Policlinico "G. Rodolico-San Marco", University of Catania, Catania, Italy
| | - Milan Milojevic
- Department of Cardiac Surgery and Cardiovascular Research, Dedinje Cardiovascular Institute, Belgrade, Serbia
| | - Deepak L Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Giuseppe Biondi Zoccai
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy
- Mediterranea Cardiocentro, Naples, Italy
| | - William E Boden
- VA New England Healthcare System, Boston University School of Medicine, Boston, MA, USA
| | - P J Devereaux
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | - Torsten Doenst
- Department of Cardiothoracic Surgery, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Michael Farkouh
- Academic Affairs, Cedars-Sinai Health System, Los Angeles, CA, USA
| | - Nicholas Freemantle
- Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Stephen Fremes
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Division of Cardiac Surgery, University of Toronto, Toronto, ON, Canada
- Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - John Puskas
- Department of Cardiovascular Surgery, Mount Sinai Morningside, New York, NY, USA
| | - Giovanni Landoni
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Faculty of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Jennifer Lawton
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Patrick O Myers
- Department of Cardiac Surgery, CHUV-Center Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Björn Redfors
- Cardiovascular Research Foundation, New York, NY, USA
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Sigrid Sandner
- Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria
| |
Collapse
|
17
|
Boccalini S, Teulade M, Paquet E, Si-Mohamed S, Rapallo F, Moreau-Triby C, Charrière S, Mewton N, Boussel L, Bergerot C, Douek P, Moulin P. Silent myocardial infarction fatty scars detected by coronary calcium score CT scan in diabetic patients without history of coronary heart disease. Eur Radiol 2024; 34:214-225. [PMID: 37530810 PMCID: PMC10791785 DOI: 10.1007/s00330-023-09940-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 08/03/2023]
Abstract
OBJECTIVES To evaluate the prevalence of intra-myocardial fatty scars (IMFS) most likely indicating previous silent myocardial infarction (SMI), as detected on coronary artery calcium (CAC) computed tomography (CT) scans in diabetic patients without history of coronary heart disease (CHD). METHODS Diabetic patients screened for silent coronary insufficiency in a tertiary-care, university hospital between Jan-2015 and Dec-2016 were categorized according to their CAC score in two groups comprising 242 patients with CACS = 0 and 145 patients with CACS ≥ 300. CAC-CT scans were retrospectively evaluated for subendorcardial and transmural IMFS of the left ventricle. Adipose remodeling, patients' characteristics, cardiovascular risk factors and metabolic profile were compared between groups. RESULTS Eighty-three (21%) patients with IMFS were identified, 55 (37.9%) in the group CACS ≥ 300 and 28 (11.6%) in the CACS = 0 (OR = 4.67; 95% CI = 2.78-7.84; p < 0.001). Total and average surface of IMFS and their number per patient were similar in both groups (p = 0.55; p = 0.29; p = 0.61, respectively). In the group CACS ≥ 300, patients with IMFS were older (p = 0.03) and had longer-lasting diabetes (p = 0.04). Patients with IMFS were older and had longer history of diabetes, reduced glomerular filtration rate, more coronary calcifications (all p < 0.05), and higher prevalence of carotid plaques (OR = 3.03; 95% CI = 1.43-6.39, p = 0.004). After correction for other variables, only a CACS ≥ 300 (OR = 5.12; 95% CI = 2.66-9.85; p < 0.001) was associated with an increased risk of having IMFS. CONCLUSIONS In diabetic patients without known CHD, IMFSs were found in patients without coronary calcifications, although not as frequently as in patients with heavily calcified coronary arteries. It remains to be established if this marker translates in an upwards cardiovascular risk restratification especially in diabetic patients with CACS = 0. CLINICAL RELEVANCE STATEMENT In diabetic patients without history of coronary heart disease, intramyocardial fatty scars, presumably of post-infarction origin, can be detected on coronary artery calcium CT scans more frequently, but not exclusively, if the coronary arteries are heavily calcified as compared to those without calcifications. KEY POINTS • Intramyocardial fatty scars (IMFS), presumably of post-infarction origin, can be detected on coronary artery calcium (CAC) CT scans more frequently, but not exclusively, in diabetic patients with CACS ≥ 300 as compared to patients CACS = 0. • Patients with IMFS were older and had longer history of diabetes, reduced glomerular filtration rate, and more coronary calcifications. • Carotid plaques and CACS ≥ 300 were associated with an increased risk of having IMFS, about three and five folds respectively.
Collapse
Affiliation(s)
- Sara Boccalini
- Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France.
- University Claude Bernard Lyon 1, Lyon, France.
| | - Marie Teulade
- University Claude Bernard Lyon 1, Lyon, France
- Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France
| | - Emilie Paquet
- Department of Nuclear Medicine, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France
| | - Salim Si-Mohamed
- Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France
- University Claude Bernard Lyon 1, Lyon, France
| | - Fabio Rapallo
- Department of Economics, University of Genova, Genoa, Italy
| | - Caroline Moreau-Triby
- Department of Nuclear Medicine, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France
| | - Sybil Charrière
- University Claude Bernard Lyon 1, Lyon, France
- Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France
| | - Nathan Mewton
- University Claude Bernard Lyon 1, Lyon, France
- Department of Cardiology, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France
| | - Loic Boussel
- Department of Radiology, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - Cyrille Bergerot
- Department of Cardiology, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France
| | - Philippe Douek
- Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France
- University Claude Bernard Lyon 1, Lyon, France
| | - Philippe Moulin
- University Claude Bernard Lyon 1, Lyon, France
- Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France
| |
Collapse
|
18
|
Chhikara S, Kanda A, Ogugua FM, Rouf R, Nouraee C, Bawaskar P, Molitor JA, Shenoy C. The primary cardiomyopathy of systemic sclerosis on cardiovascular magnetic resonance imaging. Eur Heart J Cardiovasc Imaging 2023; 24:1661-1671. [PMID: 37364296 DOI: 10.1093/ehjci/jead147] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/31/2023] [Accepted: 06/20/2023] [Indexed: 06/28/2023] Open
Abstract
AIMS Cardiac disease in systemic sclerosis (SSc) may be primary or secondary to other disease manifestations of SSc. The prevalence of the primary cardiomyopathy of SSc is unknown. Cardiovascular magnetic resonance (CMR) imaging can help accurately determine the presence and cause of cardiomyopathy. We aimed to investigate the prevalence, the CMR features, and the prognostic implications of the primary cardiomyopathy of SSc. METHODS AND RESULTS We conducted a retrospective cohort study of consecutive patients with SSc who had a clinical CMR for suspected cardiac involvement. We identified the prevalence, the CMR features of the primary cardiomyopathy of SSc, and its association with the long-term incidence of death or major adverse cardiac events (MACEs): heart failure hospitalization, ventricular assist device implantation, heart transplantation, and sustained ventricular tachycardia. Of 130 patients with SSc, 80% were women, and the median age was 58 years. On CMR, 22% had an abnormal left ventricular ejection fraction, and 40% had late gadolinium enhancement (LGE). The prevalence of the primary cardiomyopathy of SSc was 21%. A third of these patients had a distinct LGE phenotype. Over a median follow-up of 3.6 years after the CMR, patients with the primary cardiomyopathy of SSc had a greater incidence of death or MACE (adjusted hazard ratio 2.01; 95% confidence interval 1.03-3.92; P = 0.041). CONCLUSION The prevalence of the primary cardiomyopathy of SSc was 21%, with a third demonstrating a distinct LGE phenotype. The primary cardiomyopathy of SSc was independently associated with a greater long-term incidence of death or MACE.
Collapse
Affiliation(s)
- Sanya Chhikara
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
| | - Adinan Kanda
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
| | - Fredrick M Ogugua
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
| | - Rejowana Rouf
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
| | - Cyrus Nouraee
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
| | - Parag Bawaskar
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
| | - Jerry A Molitor
- Division of Rheumatic and Autoimmune Diseases, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN 55455, USA
| |
Collapse
|
19
|
Arai AE, Schulz-Menger J, Shah DJ, Han Y, Bandettini WP, Abraham A, Woodard PK, Selvanayagam JB, Hamilton-Craig C, Tan RS, Carr J, Teo L, Kramer CM, Wintersperger BJ, Harisinghani MG, Flamm SD, Friedrich MG, Klem I, Raman SV, Haverstock D, Liu Z, Brueggenwerth G, Santiuste M, Berman DS, Pennell DJ. Stress Perfusion Cardiac Magnetic Resonance vs SPECT Imaging for Detection of Coronary Artery Disease. J Am Coll Cardiol 2023; 82:1828-1838. [PMID: 37914512 DOI: 10.1016/j.jacc.2023.08.046] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/16/2023] [Accepted: 08/23/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND GadaCAD2 was 1 of 2 international, multicenter, prospective, Phase 3 clinical trials that led to U.S. Food and Drug Administration approval of gadobutrol to assess myocardial perfusion and late gadolinium enhancement (LGE) in adults with known or suspected coronary artery disease (CAD). OBJECTIVES A prespecified secondary objective was to determine if stress perfusion cardiovascular magnetic resonance (CMR) was noninferior to single-photon emission computed tomography (SPECT) for detecting significant CAD and for excluding significant CAD. METHODS Participants with known or suspected CAD underwent a research rest and stress perfusion CMR that was compared with a gated SPECT performed using standard clinical protocols. For CMR, adenosine or regadenoson served as vasodilators. The total dose of gadobutrol was 0.1 mmol/kg body weight. The standard of reference was a 70% stenosis defined by quantitative coronary angiography (QCA). A negative coronary computed tomography angiography could exclude CAD. Analysis was per patient. CMR, SPECT, and QCA were evaluated by independent central core lab readers blinded to clinical information. RESULTS Participants were predominantly male (61.4% male; mean age 58.9 ± 10.2 years) and were recruited from the United States (75.0%), Australia (14.7%), Singapore (5.7%), and Canada (4.6%). The prevalence of significant CAD was 24.5% (n = 72 of 294). Stress perfusion CMR was statistically superior to gated SPECT for specificity (P = 0.002), area under the receiver operating characteristic curve (P < 0.001), accuracy (P = 0.003), positive predictive value (P < 0.001), and negative predictive value (P = 0.041). The sensitivity of CMR for a 70% QCA stenosis was noninferior and nonsuperior to gated SPECT. CONCLUSIONS Vasodilator stress perfusion CMR, as performed with gadobutrol 0.1 mmol/kg body weight, had superior diagnostic accuracy for diagnosis and exclusion of significant CAD vs gated SPECT.
Collapse
Affiliation(s)
| | - Jeanette Schulz-Menger
- Helios Klinikum Berlin Buch Klinik für Kardiologie und Nephrologie Abteilung Kardio-MRT, Berlin, Germany
| | - Dipan J Shah
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Yuchi Han
- The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Arun Abraham
- Royal Perth Hospital, Perth, Western Australia, Australia
| | - Pamela K Woodard
- Washington University School of Medicine, St Louis, Missouri, USA
| | | | | | - Ru-San Tan
- National Heart Centre Singapore, Singapore
| | - James Carr
- Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lynette Teo
- National University Hospital, Singapore, Singapore
| | | | - Bernd J Wintersperger
- University of Toronto, Department of Medical Imaging, Toronto General Hospital, Toronto, Ontario, Canada
| | | | | | | | - Igor Klem
- Duke University, Durham, North Carolina, USA
| | - Subha V Raman
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Zheyu Liu
- Bayer Pharmaceuticals LLC, Whippany, New Jersey, USA
| | | | | | | | - Dudley J Pennell
- National Heart and Lung Institute, Imperial College, London, United Kingdom; Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| |
Collapse
|
20
|
Plein S. Comparative Accuracy of Noninvasive Imaging Tests in Stable Chest Pain: Does It Matter? J Am Coll Cardiol 2023; 82:1839-1841. [PMID: 37914513 DOI: 10.1016/j.jacc.2023.09.805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 11/03/2023]
Affiliation(s)
- Sven Plein
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
| |
Collapse
|
21
|
Tanniche I, Behkam B. Engineered live bacteria as disease detection and diagnosis tools. J Biol Eng 2023; 17:65. [PMID: 37875910 PMCID: PMC10598922 DOI: 10.1186/s13036-023-00379-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 09/18/2023] [Indexed: 10/26/2023] Open
Abstract
Sensitive and minimally invasive medical diagnostics are essential to the early detection of diseases, monitoring their progression and response to treatment. Engineered bacteria as live sensors are being developed as a new class of biosensors for sensitive, robust, noninvasive, and in situ detection of disease onset at low cost. Akin to microrobotic systems, a combination of simple genetic rules, basic logic gates, and complex synthetic bioengineering principles are used to program bacterial vectors as living machines for detecting biomarkers of diseases, some of which cannot be detected with other sensing technologies. Bacterial whole-cell biosensors (BWCBs) can have wide-ranging functions from detection only, to detection and recording, to closed-loop detection-regulated treatment. In this review article, we first summarize the unique benefits of bacteria as living sensors. We then describe the different bacteria-based diagnosis approaches and provide examples of diagnosing various diseases and disorders. We also discuss the use of bacteria as imaging vectors for disease detection and image-guided surgery. We conclude by highlighting current challenges and opportunities for further exploration toward clinical translation of these bacteria-based systems.
Collapse
Affiliation(s)
- Imen Tanniche
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Bahareh Behkam
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
- School of Biomedical Engineered and Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
- Center for Engineered Health, Institute for Critical Technology and Applied Science, Virginia Tech, Blacksburg, VA, 24061, USA.
| |
Collapse
|
22
|
Bandettini WP, Kwong RY, Patel AR, Plein S. Society for Cardiovascular Magnetic Resonance perspective on the ACC/AHA/ASE/ASNC/ASPC/HFSA/HRS/SCAI/SCCT/SCMR/STS 2023 multi-modality appropriate use criteria for the detection and risk assessment of chronic coronary disease. J Cardiovasc Magn Reson 2023; 25:59. [PMID: 37858255 PMCID: PMC10585828 DOI: 10.1186/s12968-023-00959-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 08/25/2023] [Indexed: 10/21/2023] Open
Affiliation(s)
- W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Amit R Patel
- Cardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
| |
Collapse
|
23
|
Małek ŁA, Śpiewak M. Isolated myocardial edema in cardiac magnetic resonance - in search of a management strategy. Trends Cardiovasc Med 2023; 33:395-402. [PMID: 35405307 DOI: 10.1016/j.tcm.2022.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/23/2022] [Accepted: 04/01/2022] [Indexed: 01/04/2023]
Abstract
Isolated myocardial edema not accompanied by late gadolinium enhancement (LGE) may be occasionally found on cardiac magnetic resonance (CMR). This type of picture may be encountered in patients with suspected myocarditis, post some acute cardiac events, with cardiac allograft rejection or even in athletes after an extreme exercise. Currently, there is no clear management strategy for this type of incidental finding. In this narrative review we discuss the methods and pitfalls of edema detection with means of CMR, review published data on isolated myocardial edema for each of the most probable clinical scenarios and propose a structured clinical decision-making algorithm to help clinicians navigate through this type of CMR result. Finally, we highlight the most important gaps in evidence related to isolated myocardial edema without fibrosis, where further research is particularly needed.
Collapse
Affiliation(s)
- Łukasz A Małek
- Department of Epidemiology, Cardiovascular Disease Prevention and Health Promotion, National Institute of Cardiology, Warsaw, Poland.
| | - Mateusz Śpiewak
- Magnetic Resonance Unit, Department of Radiology, National Institute of Cardiology, Warsaw, Poland
| |
Collapse
|
24
|
Hedeer F, Akil S, Oddstig J, Hindorf C, Arheden H, Carlsson M, Engblom H. Diagnostic accuracy for CZT gamma camera compared to conventional gamma camera technique with myocardial perfusion single-photon emission computed tomography: Assessment of myocardial infarction and function. J Nucl Cardiol 2023; 30:1935-1946. [PMID: 36913172 PMCID: PMC10558368 DOI: 10.1007/s12350-022-03185-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 11/23/2022] [Indexed: 03/14/2023]
Abstract
BACKGROUND The solid-state cadmium-zinc-telluride (CZT) gamma camera for myocardial perfusion single-photon emission computed tomography (MPS) has theoretical advantages compared to the conventional gamma camera technique. This includes more sensitive detectors and better energy resolution. We aimed to explore the diagnostic performance of gated MPS with a CZT gamma camera compared to a conventional gamma camera for detection of myocardial infarct (MI) and assessment of left ventricular (LV) volumes and ejection fraction (LVEF), using cardiac magnetic resonance (CMR) as the reference method. METHODS Seventy-three patients (26% female) with known or suspected chronic coronary syndrome were examined with gated MPS using both a CZT gamma camera and a conventional gamma camera as well as with CMR. Presence and extent of MI on MPS and late gadolinium enhancement (LGE) CMR was evaluated. For LV volumes, LVEF and LV mass, gated MPS images and cine CMR images were evaluated. RESULTS MI was found in 42 patients on CMR. The overall sensitivity, specificity, positive and negative predictive values for the CZT and the conventional gamma camera were the same (67%, 100%, 100% and 69%). For infarct size > 3% on CMR, the sensitivity was 82% for the CZT and 73% for the conventional gamma camera, respectively. LV volumes were significantly underestimated by MPS compared to CMR (P ≤ .002 for all measures). The underestimation was slightly less pronounced for the CZT compared to the conventional gamma camera (2-10 mL, P ≤ .03 for all measures). For LVEF, however, accuracy was high for both gamma cameras. CONCLUSION Differences between a CZT and a conventional gamma camera for detection of MI and assessment of LV volumes and LVEF are small and do not appear to be clinically significant.
Collapse
Affiliation(s)
- Fredrik Hedeer
- Department of Clinical Physiology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Shahnaz Akil
- Department of Clinical Physiology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Jenny Oddstig
- Radiation Physics, Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Cecilia Hindorf
- Radiation Physics, Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Håkan Arheden
- Department of Clinical Physiology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Marcus Carlsson
- Department of Clinical Physiology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Henrik Engblom
- Department of Clinical Physiology, Skåne University Hospital, Lund University, Lund, Sweden
| |
Collapse
|
25
|
Silva TQAC, Pezel T, Jerosch-Herold M, Coelho-Filho OR. The Role and Advantages of Cardiac Magnetic Resonance in the Diagnosis of Myocardial Ischemia. J Thorac Imaging 2023; 38:235-246. [PMID: 36917509 DOI: 10.1097/rti.0000000000000701] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Ischemic heart disease continues to be the leading cause of death and disability worldwide. For the diagnosis of ischemic heart disease, some form of cardiac stress test involving exercise or pharmacological stimulation continues to play an important role, despite advances within modalities like computer tomography for the noninvasive detection and characterization of epicardial coronary lesions. Among noninvasive stress imaging tests, cardiac magnetic resonance (CMR) combines several capabilities that are highly relevant for the diagnosis of ischemic heart disease: assessment of wall motion abnormalities, myocardial perfusion imaging, and depiction of replacement and interstitial fibrosis markers by late gadolinium enhancement techniques and T1 mapping. On top of these qualities, CMR is also well tolerated and safe in most clinical scenarios, including in the presence of cardiovascular implantable devices, while in the presence of renal disease, gadolinium-based contrast should only be used according to guidelines. CMR also offers outstanding viability assessment and prognostication of cardiovascular events. The last 2019 European Society of Cardiology guidelines for chronic coronary syndromes has positioned stress CMR as a class I noninvasive imaging technique for the diagnosis of coronary artery disease in symptomatic patients. In the present review, we present the current state-of-the-art assessment of myocardial ischemia by stress perfusion CMR, highlighting its advantages and current shortcomings. We discuss the safety, clinical, and cost-effectiveness aspects of gadolinium-based CMR-perfusion imaging for ischemic heart disease assessment.
Collapse
Affiliation(s)
- Thiago Quinaglia A C Silva
- Discipline of Cardiology, Faculty of Medical Science-State University of Campinas-UNICAMP, Campinas, São Paulo, Brazil
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Théo Pezel
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD
- Department of Cardiology, University of Paris, CHU Lariboisière, Inserm, UMRS 942, Paris, France
| | - Michael Jerosch-Herold
- Noninvasive Cardiovascular Imaging Program and Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Otávio R Coelho-Filho
- Discipline of Cardiology, Faculty of Medical Science-State University of Campinas-UNICAMP, Campinas, São Paulo, Brazil
| |
Collapse
|
26
|
Ferreira VM, Plein S, Wong TC, Tao Q, Raisi-Estabragh Z, Jain SS, Han Y, Ojha V, Bluemke DA, Hanneman K, Weinsaft J, Vidula MK, Ntusi NAB, Schulz-Menger J, Kim J. Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson 2023; 25:21. [PMID: 36973744 PMCID: PMC10041524 DOI: 10.1186/s12968-023-00933-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 03/14/2023] [Indexed: 03/29/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has affected nearly 600 million people to date across the world. While COVID-19 is primarily a respiratory illness, cardiac injury is also known to occur. Cardiovascular magnetic resonance (CMR) imaging is uniquely capable of characterizing myocardial tissue properties in-vivo, enabling insights into the pattern and degree of cardiac injury. The reported prevalence of myocardial involvement identified by CMR in the context of COVID-19 infection among previously hospitalized patients ranges from 26 to 60%. Variations in the reported prevalence of myocardial involvement may result from differing patient populations (e.g. differences in severity of illness) and the varying intervals between acute infection and CMR evaluation. Standardized methodologies in image acquisition, analysis, interpretation, and reporting of CMR abnormalities across would likely improve concordance between studies. This consensus document by the Society for Cardiovascular Magnetic Resonance (SCMR) provides recommendations on CMR imaging and reporting metrics towards the goal of improved standardization and uniform data acquisition and analytic approaches when performing CMR in patients with COVID-19 infection.
Collapse
Affiliation(s)
- Vanessa M Ferreira
- University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Oxford British Heart Foundation Centre of Research Excellence, The National Institute for Health Research Oxford Biomedical Research Centre at the Oxford University Hospitals NHS Foundation Trust, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Sven Plein
- Department of Biomedical Imaging Science, University of Leeds, Leeds, UK
| | - Timothy C Wong
- Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Qian Tao
- Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Supriya S Jain
- Division of Pediatric Cardiology, Department of Pediatrics, Maria Fareri Children's Hospital at Westchester Medical Center, New York Medical College, New York, USA
| | - Yuchi Han
- Cardiovascular Medicine, Wexner Medical Center, The Ohio State University, Columbus, USA
| | - Vineeta Ojha
- Department of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India
| | - David A Bluemke
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Kate Hanneman
- Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Canada
| | - Jonathan Weinsaft
- Department of Medicine, Division of Cardiology, Weill Cornell Medicine/New York Presbyterian Hospital, Weill Cornell Medical College, New York, USA
| | - Mahesh K Vidula
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, USA
| | - Ntobeko A B Ntusi
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital; Cape Heart Institute, University of Cape Town, South African Medical Research Council Extramural Unit On Intersection of Noncommunicable Diseases and Infectious Diseases, Cape Town, South Africa
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité and MDC, Charité University Medicine, Berlin, Germany
- Department of Cardiology and Nephrology, Helios Hospital Berlin-Buch, Berlin, Germany
| | - Jiwon Kim
- Department of Medicine, Division of Cardiology, Weill Cornell Medicine/New York Presbyterian Hospital, Weill Cornell Medical College, New York, USA.
| |
Collapse
|
27
|
deFilippi CR, Tran H, Gattani R, Daniels LB, Shah P, Ilkhanoff L, Christenson R, Lima JA, Seliger S. Association of cardiac troponin T and growth differentiation factor 15 with replacement and interstitial cardiac fibrosis in community dwelling adults: The multi-ethnic study of atherosclerosis. Front Cardiovasc Med 2023; 10:1104715. [PMID: 36844723 PMCID: PMC9949377 DOI: 10.3389/fcvm.2023.1104715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 01/23/2023] [Indexed: 02/11/2023] Open
Abstract
Background Subclinical abnormalities in myocardial structure (stage B heart failure) may be identified by cardiac and non-organ specific biomarkers. The associations of high-sensitivity cardiac troponin T (hs-cTnT) and growth differentiation factor-15 (GDF-15) with cardiac magnetic resonance imaging (CMR) interstitial fibrosis (extracellular volume [ECV]) is unknown and for GDF-15 the association with replacement (late gadolinium enhancement [LGE]) is also unknown. GDF-15 is a systemic biomarker also released by myocytes associated with fibrosis and inflammation. We sought to define the associations of hs-cTnT and GDF-15 with these CMR fibrosis measures in the MESA cohort. Methods We measured hs-cTnT and GDF-15 in MESA participants free of cardiovascular disease at exam 5. CMR measurements were complete in 1737 for LGE and 1258 for ECV assessment. We estimated the association of each biomarker with LGE and increased ECV (4th quartile) using logistic regression, adjusted for demographics and risk factors. Results Mean age of the participants was 68 ± 9 years. Unadjusted, both biomarkers were associated with LGE, but after adjustment only hs-cTnT concentrations remained significant (4th vs. 1st quartile OR] 7.5, 95% CI: 2.1, 26.6). For interstitial fibrosis both biomarkers were associated with 4th quartile ECV, but the association was attenuated compared to replacement fibrosis. After adjustment, only hs-cTnT concentrations remained significant (1st to 4th quartile OR 1.7, 95%CI: 1.1, 2.8). Conclusion Our findings identify that both interstitial and replacement fibrosis are associated with myocyte cell death/injury, but GDF-15 a non-organ specific biomarker prognostic for incident cardiovascular disease is not associated with preclinical evidence of cardiac fibrosis.
Collapse
Affiliation(s)
- Christopher R. deFilippi
- Inova Heart and Vascular Institute, Falls Church, VA, United States,*Correspondence: Christopher R. deFilippi,
| | - Henry Tran
- Inova Heart and Vascular Institute, Falls Church, VA, United States
| | - Raghav Gattani
- Inova Heart and Vascular Institute, Falls Church, VA, United States
| | - Lori B. Daniels
- Division of Cardiology, University of California and San Diego Medical Center, San Diego, CA, United States
| | - Palak Shah
- Inova Heart and Vascular Institute, Falls Church, VA, United States
| | | | - Robert Christenson
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Joao A. Lima
- The Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Stephen Seliger
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, United States
| |
Collapse
|
28
|
Huang H, Ali A, Liu Y, Xie H, Ullah S, Roy S, Song Z, Guo B, Xu J. Advances in image-guided drug delivery for antibacterial therapy. Adv Drug Deliv Rev 2023; 192:114634. [PMID: 36503884 DOI: 10.1016/j.addr.2022.114634] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/20/2022] [Accepted: 11/22/2022] [Indexed: 11/29/2022]
Abstract
The emergence of antibiotic-resistant bacterial strains is seriously endangering the global healthcare system. There is an urgent need for combining imaging with therapies to realize the real-time monitoring of pathological condition and treatment progress. It also provides guidance on exploring new medicines and enhance treatment strategies to overcome the antibiotic resistance of existing conventional antibiotics. In this review, we provide a thorough overview of the most advanced image-guided approaches for bacterial diagnosis (e.g., computed tomography imaging, magnetic resonance imaging, photoacoustic imaging, ultrasound imaging, fluorescence imaging, positron emission tomography, single photon emission computed tomography imaging, and multiple imaging), and therapies (e.g., photothermal therapy, photodynamic therapy, chemodynamic therapy, sonodynamic therapy, immunotherapy, and multiple therapies). This review focuses on how to design and fabricate photo-responsive materials for improved image-guided bacterial theranostics applications. We present a potential application of different image-guided modalities for both bacterial diagnosis and therapies with representative examples. Finally, we highlighted the current challenges and future perspectives image-guided approaches for future clinical translation of nano-theranostics in bacterial infections therapies. We envision that this review will provide for future development in image-guided systems for bacterial theranostics applications.
Collapse
Affiliation(s)
- Haiyan Huang
- Institute of Low-Dimensional Materials Genome Initiative, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China; School of Science and Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Harbin Institute of Technology, Shenzhen 518055, China
| | - Arbab Ali
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China; CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nano Safety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Yi Liu
- State Key Laboratory of Agricultural Microbiology, College of Science, Huazhong Agricultural University, Wuhan 430070, China
| | - Hui Xie
- Institute of Low-Dimensional Materials Genome Initiative, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China; Chengdu Institute of Organic Chemistry, Chinese Academy of Sciences, Chengdu 610041, China
| | - Sana Ullah
- Department of Biotechnology, Quaid-i-Azam University, Islamabad 45320, Pakistan; Natural and Medical Sciences Research Center, University of Nizwa, P.O. Box: 33, PC: 616, Oman
| | - Shubham Roy
- School of Science and Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Harbin Institute of Technology, Shenzhen 518055, China
| | - Zhiyong Song
- State Key Laboratory of Agricultural Microbiology, College of Science, Huazhong Agricultural University, Wuhan 430070, China.
| | - Bing Guo
- School of Science and Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Harbin Institute of Technology, Shenzhen 518055, China.
| | - Jian Xu
- Institute of Low-Dimensional Materials Genome Initiative, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China.
| |
Collapse
|
29
|
Chattopadhyay A, Singhal M, Debi U, Bhal A, Sharma A, Jain S. Prevalence and pattern of myocardial involvement on cardiac magnetic resonance imaging in Takayasu arteritis and its relationship with disease activity. REUMATOLOGIA CLINICA 2023; 19:6-11. [PMID: 36603966 DOI: 10.1016/j.reumae.2021.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 11/17/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Cardiac involvement in Takayasu arteritis (TA) is the major cause of morbidity and mortality. Cardiovascular magnetic resonance (CMR) is an excellent modality for the assessment of myocardial involvement. Studies have shown myocardial involvement in 25%-27% of patients. OBJECTIVES To evaluate the prevalence and pattern of myocardial involvement in TA on CMR. We also evaluated any correlation between CMR changes and disease activity score (ITAS 2010 and ITAS-A) assessed at the time of CMR. METHODS Patients classified as Takayasu arteritis according to Sharma et al. criteria were enrolled in the study. Demographic, clinical, and laboratory data were documented in the predesigned proforma. CMR was performed on a dedicated cardiac 3Tesla MR machine. Disease activity was recorded by ITAS2010 and ITAS-A. RESULTS A total of 37 TA patients were included. Mean (±SD) age was 29±11 years. Female to male ratio was 3:1. Five patients (14%) had myocardial involvement on CMR. Two (2/5) had myocarditis and three (3/5) patients had features of ischaemic myocardial fibrosis. CONCLUSION The myocardium is affected in TA, however the prevalence of subclinical myocardial involvement in our study was less (8% vs. 25%-27%) compared to the previous studies. Myocardial involvement trends towards early age of onset, less disease duration, lack of classical risk factors, and more with disease activity.
Collapse
Affiliation(s)
- Arghya Chattopadhyay
- Clinical Immunology and Rheumatology Services, Department of Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Manphool Singhal
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Uma Debi
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Ajay Bhal
- Department of Cardiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Aman Sharma
- Clinical Immunology and Rheumatology Services, Department of Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sanjay Jain
- Clinical Immunology and Rheumatology Services, Department of Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| |
Collapse
|
30
|
Sanguineti F, Duhamel S, Garot P, Garot J. [The role of Cardiovascular Magnetic Resonance in Interventional Cardiology]. Ann Cardiol Angeiol (Paris) 2022; 71:362-367. [PMID: 36229237 DOI: 10.1016/j.ancard.2022.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Cardiovascular magnetic resonance has emerged as a very helpful tool for the interventional cardiologists not only in the assessment and treatment of coronary artery disease, but also in the evaluation of various structural cardiac diseases. The main pulse sequences are standardised, acquired during short breath-holds, and include steady-state free precession cines, dynamic myocardial first-pass perfusion imaging during contrast injection, and late enhancement imaging for the identification of myocardial substrates. Less than 30-minute CMR studies are now available for the most common clinical indications. More recently, T1 and T2 parametric myocardial maps are promising for detailed myocardial tissue characterisation (edema, replacement fibrosis, diffuse interstitial fibrosis). Technical aspects will not be addressed with particular emphasis on clinical applications.
Collapse
Affiliation(s)
- Francesca Sanguineti
- Institut Cardiovasculaire Paris Sud, IRM Cardiovasculaire, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France; Institut Cardiovasculaire Paris Sud, Cardiologie Interventionnelle, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Suzanne Duhamel
- Institut Cardiovasculaire Paris Sud, IRM Cardiovasculaire, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
| | - Philippe Garot
- Institut Cardiovasculaire Paris Sud, IRM Cardiovasculaire, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France; Institut Cardiovasculaire Paris Sud, Cardiologie Interventionnelle, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Jérôme Garot
- Institut Cardiovasculaire Paris Sud, IRM Cardiovasculaire, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France.
| |
Collapse
|
31
|
Kagan RD, Palumbo MC, Weinsaft JW, Kim J, Gaudino MFL, Girardi LN, Lau C. Impact of advanced imaging techniques on cardiac surgery-New insights provided by cardiac magnetic resonance. J Card Surg 2022; 37:4138-4143. [PMID: 36321961 DOI: 10.1111/jocs.17095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 09/15/2022] [Indexed: 11/06/2022]
Abstract
This dialog between a cardiac surgeon (C.L.) and cardiac imager (J.W.W.) provides an overview of cardiac MRI (CMR) methods relevant to cardiac surgery. Major areas of focus include logistics of performing a CMR exam, as well as established and emerging methods for assessment of cardiac structure, function, valvular performance, and tissue characterization. Regarding tissue characterization, a major area of focus concerns CMR assessment of viability, for which this modality has been shown to provide incremental utility to conventional techniques for detection of presence and transmural extent of infarction, as well as powerful predictive utility of recovery of left ventricular systolic function as well as long term clinical prognosis in patients with an array of clinical conditions, including coronary artery disease and valvular heart disease both before and following cardiac surgery.
Collapse
Affiliation(s)
- Ruth D Kagan
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Maria Chiara Palumbo
- Department of Electronics, Informatics and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Jonathan W Weinsaft
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Jiwon Kim
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Mario F L Gaudino
- Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, New York, USA
| | - Leonard N Girardi
- Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, New York, USA
| | - Christopher Lau
- Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, New York, USA
| |
Collapse
|
32
|
Zhang Q, Burrage MK, Shanmuganathan M, Gonzales RA, Lukaschuk E, Thomas KE, Mills R, Leal Pelado J, Nikolaidou C, Popescu IA, Lee YP, Zhang X, Dharmakumar R, Myerson SG, Rider O, Channon KM, Neubauer S, Piechnik SK, Ferreira VM. Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement. Circulation 2022; 146:1492-1503. [PMID: 36124774 PMCID: PMC9662825 DOI: 10.1161/circulationaha.122.060137] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 08/17/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Myocardial scars are assessed noninvasively using cardiovascular magnetic resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast-free approach would provide many advantages, including a faster and cheaper scan without contrast-associated problems. METHODS Virtual native enhancement (VNE) is a novel technology that can produce virtual LGE-like images without the need for contrast. VNE combines cine imaging and native T1 maps to produce LGE-like images using artificial intelligence. VNE was developed for patients with previous myocardial infarction from 4271 data sets (912 patients); each data set comprises slice position-matched cine, T1 maps, and LGE images. After quality control, 3002 data sets (775 patients) were used for development and 291 data sets (68 patients) for testing. The VNE generator was trained using generative adversarial networks, using 2 adversarial discriminators to improve the image quality. The left ventricle was contoured semiautomatically. Myocardial scar volume was quantified using the full width at half maximum method. Scar transmurality was measured using the centerline chord method and visualized on bull's-eye plots. Lesion quantification by VNE and LGE was compared using linear regression, Pearson correlation (R), and intraclass correlation coefficients. Proof-of-principle histopathologic comparison of VNE in a porcine model of myocardial infarction also was performed. RESULTS VNE provided significantly better image quality than LGE on blinded analysis by 5 independent operators on 291 data sets (all P<0.001). VNE correlated strongly with LGE in quantifying scar size (R, 0.89; intraclass correlation coefficient, 0.94) and transmurality (R, 0.84; intraclass correlation coefficient, 0.90) in 66 patients (277 test data sets). Two cardiovascular magnetic resonance experts reviewed all test image slices and reported an overall accuracy of 84% for VNE in detecting scars when compared with LGE, with specificity of 100% and sensitivity of 77%. VNE also showed excellent visuospatial agreement with histopathology in 2 cases of a porcine model of myocardial infarction. CONCLUSIONS VNE demonstrated high agreement with LGE cardiovascular magnetic resonance for myocardial scar assessment in patients with previous myocardial infarction in visuospatial distribution and lesion quantification with superior image quality. VNE is a potentially transformative artificial intelligence-based technology with promise in reducing scan times and costs, increasing clinical throughput, and improving the accessibility of cardiovascular magnetic resonance in the near future.
Collapse
Affiliation(s)
- Qiang Zhang
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Matthew K. Burrage
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Faculty of Medicine, University of Queensland, Brisbane, Australia (M.K.B.)
| | - Mayooran Shanmuganathan
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Ricardo A. Gonzales
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Elena Lukaschuk
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Katharine E. Thomas
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Rebecca Mills
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Joana Leal Pelado
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Chrysovalantou Nikolaidou
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Iulia A. Popescu
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Yung P. Lee
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Xinheng Zhang
- Krannert Cardiovascular Research Center, Indiana School of Medicine/IU Health Cardiovascular Institute, Indianapolis (X.Z., R.D.)
- Department of Bioengineering, University of California in Los Angeles (X.Z.)
| | - Rohan Dharmakumar
- Krannert Cardiovascular Research Center, Indiana School of Medicine/IU Health Cardiovascular Institute, Indianapolis (X.Z., R.D.)
| | - Saul G. Myerson
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Oliver Rider
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Keith M. Channon
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Stefan K. Piechnik
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - Vanessa M. Ferreira
- Oxford Centre for Clinical Magnetic Resonance Research (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
- Division of Cardiovascular Medicine (Q.Z., M.K.B., M.S., R.A.G., E.L., K.E.T., R.M., J.L.P., C.N., I.A.P., Y.P.L., S.G.M., O.R., K.M.C., S.N., S.K.P., V.M.F.), Radcliffe Department of Medicine, University of Oxford, United Kingdom
| |
Collapse
|
33
|
Babes EE, Tit DM, Bungau AF, Bustea C, Rus M, Bungau SG, Babes VV. Myocardial Viability Testing in the Management of Ischemic Heart Failure. Life (Basel) 2022; 12:1760. [PMID: 36362914 PMCID: PMC9698475 DOI: 10.3390/life12111760] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 10/24/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Although major advances have occurred lately in medical therapy, ischemic heart failure remains an important cause of death and disability. Viable myocardium represents a cause of reversible ischemic left ventricular dysfunction. Coronary revascularization may improve left ventricular function and prognosis in patients with viable myocardium. Although patients with impaired left ventricular function and multi-vessel coronary artery disease benefit the most from revascularization, they are at high risk of complications related to revascularization procedure. An important element in selecting the patients for myocardial revascularization is the presence of the viable myocardium. Multiple imaging modalities can assess myocardial viability and predict functional improvement after revascularization, with dobutamine stress echocardiography, nuclear imaging tests and magnetic resonance imaging being the most frequently used. However, the role of myocardial viability testing in the management of patients with ischemic heart failure is still controversial due to the failure of randomized controlled trials of revascularization to reveal clear benefits of viability testing. This review summarizes the current knowledge regarding the concept of viable myocardium, depicts the role and tools for viability testing, discusses the research involving this topic and the controversies related to the utility of myocardial viability testing and provides a patient-centered approach for clinical practice.
Collapse
Affiliation(s)
- Elena Emilia Babes
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
| | - Delia Mirela Tit
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
- Doctoral School of Biomedical Sciences, University of Oradea, 410087 Oradea, Romania
| | - Alexa Florina Bungau
- Doctoral School of Biomedical Sciences, University of Oradea, 410087 Oradea, Romania
| | - Cristiana Bustea
- Department of Preclinical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
| | - Marius Rus
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
| | - Simona Gabriela Bungau
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
- Doctoral School of Biomedical Sciences, University of Oradea, 410087 Oradea, Romania
| | - Victor Vlad Babes
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
| |
Collapse
|
34
|
Athwal PSS, Chhikara S, Ismail MF, Ismail K, Ogugua FM, Kazmirczak F, Bawaskar PH, Elton AC, Markowitz J, von Wald L, Roukoz H, Bhargava M, Perlman D, Shenoy C. Cardiovascular Magnetic Resonance Imaging Phenotypes and Long-term Outcomes in Patients With Suspected Cardiac Sarcoidosis. JAMA Cardiol 2022; 7:1057-1066. [PMID: 36103165 PMCID: PMC9475438 DOI: 10.1001/jamacardio.2022.2981] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 07/20/2022] [Indexed: 08/27/2023]
Abstract
Importance In patients with sarcoidosis with suspected cardiac involvement, late gadolinium enhancement (LGE) on cardiovascular magnetic resonance imaging (CMR) identifies those with an increased risk of adverse outcomes. However, these outcomes are experienced by only a minority of patients with LGE, and identifying this subgroup may improve treatment and outcomes in these patients. Objective To assess whether CMR phenotypes based on left ventricular ejection fraction (LVEF) and LGE in patients with suspected cardiac sarcoidosis (CS) are associated with adverse outcomes during follow-up. Design, Setting, and Participants This cohort study included consecutive patients with histologically proven sarcoidosis who underwent CMR for the evaluation of suspected CS from 2004 to 2020 with a median follow-up of 4.3 years at an academic medical center in Minnesota. Demographic data, medical history, comorbidities, medications, and outcome data were collected blinded to CMR data. Exposures CMR phenotypes were identified based on LVEF and LGE presence and features. LGE was classified as pathology-frequent or pathology-rare based on the frequency of cardiac damage features on gross pathology assessment of the hearts of patients with CS who had sudden cardiac death or cardiac transplant. Main Outcomes and Measures Composite of ventricular arrhythmic events and composite of heart failure events. Results Among 504 patients (mean [SD] age, 54.1 [12.5] years; 242 [48.0%] female and 262 [52.0%] male; 2 [0.4%] American Indian or Alaska Native, 6 [1.2%] Asian, 90 [17.9%] Black or African American, 399 [79.2%] White, 5 [1.0%] of 2 or more races (including the above-mentioned categories and Native Hawaiian or Other Pacific Islander), and 2 [0.4%] of unknown race; 4 [0.8%] Hispanic or Latino, 498 [98.8%] not Hispanic or Latino, and 2 [0.4%] of unknown ethnicity), 4 distinct CMR phenotypes were identified: normal LVEF and no LGE (n = 290; 57.5%), abnormal LVEF and no LGE (n = 53; 10.5%), pathology-frequent LGE (n = 103; 20.4%), and pathology-rare LGE (n = 58; 11.5%). The phenotype with pathology-frequent LGE was associated with a high risk of arrhythmic events (hazard ratio [HR], 12.12; 95% CI, 3.62-40.57; P < .001) independent of LVEF and extent of left ventricular late gadolinium enhancement (LVLGE). It was also associated with a high risk of heart failure events (HR, 2.49; 95% CI, 1.19-5.22; P = .02) independent of age, pulmonary hypertension, LVEF, right ventricular ejection fraction, and LVLGE extent. Risk of arrhythmic events was greater with an increasing number of pathology-frequent LGE features. The absence of the pathology-frequent LGE phenotype was associated with a low risk of arrhythmic events, even in the presence of LGE or abnormal LVEF. Conclusions and Relevance This cohort study found that a CMR phenotype involving pathology-frequent LGE features was associated with a high risk of arrhythmic and heart failure events in patients with sarcoidosis. The findings indicate that CMR phenotypes could be used to optimize clinical decision-making for treatment options, such as implantable cardioverter-defibrillators.
Collapse
Affiliation(s)
- Pal Satyajit Singh Athwal
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Sanya Chhikara
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Mohamed F. Ismail
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Khaled Ismail
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Fredrick M. Ogugua
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Felipe Kazmirczak
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Parag H. Bawaskar
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Andrew C. Elton
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Jeremy Markowitz
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Lisa von Wald
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Henri Roukoz
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Maneesh Bhargava
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota Medical School, Minneapolis
| | - David Perlman
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota Medical School, Minneapolis
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| |
Collapse
|
35
|
Subclinical Myocardial Fibrosis in Systemic Lupus Erythematosus as Assessed by Pulse-Cancellation Echocardiography: A Pilot Study. J Clin Med 2022; 11:jcm11164788. [PMID: 36013027 PMCID: PMC9410017 DOI: 10.3390/jcm11164788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/08/2022] [Accepted: 08/11/2022] [Indexed: 11/16/2022] Open
Abstract
The aim of this study was to examine whether scar imaging echocardiography with ultrasound multi-pulse scheme (eSCAR) can detect subclinical myocardial involvement in systemic lupus erythematosus (SLE). We consecutively recruited SLE patients and controls matched for age, sex, and cardiovascular risk factors. Participants with cardiac symptoms or a prior history of heart disease were excluded. All participants underwent eSCAR and speckle tracking echocardiography (STE) with global longitudinal strain (GLS) assessment. SLE patients were assessed for disease activity and were followed up for 12 months. Myocardial scars by eSCAR were observed in 19% of SLE patients, almost exclusively localized at the inferoseptal myocardial segments, and in none of the controls. GLS was significantly lower in most myocardial segments of SLE patients compared with the controls, especially in the inferoseptal segments. eSCAR-positive SLE patients received a higher cumulative and current dose of prednisone, and had significantly higher levels of anti-dsDNA antibodies (p = 0.037). eSCAR-positive patients were at higher risk of having SLE flares over follow-up (hazard ratio: 4.91; 95% CI 1.43–16.83; p = 0.0001). We identified inferoseptal myocardial scars by eSCAR in about one-fifth of SLE patients. Subclinical myocardial involvement was associated with glucocorticoid use and anti-dsDNA antibodies.
Collapse
|
36
|
Influence of the cardio-ankle vascular index on chronic-phase left ventricular dysfunction after ST-segment elevation myocardial infarction. J Hypertens 2022; 40:1478-1486. [PMID: 35881449 DOI: 10.1097/hjh.0000000000003165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
OBJECTIVE This study aimed to investigate the possible influence of arterial stiffness assessed by the cardio-ankle vascular index (CAVI) on chronic-phase left ventricular dysfunction in patients with ST-segment elevation myocardial infarction (STEMI). METHODS A total of 208 consecutive patients with first STEMI (age, 64 ± 11 years; 86% men) who underwent reperfusion therapy within 12 h of onset were enrolled. We analysed arterial stiffness by measuring CAVI in a stable phase after admission and performed two-dimensional echocardiography at baseline and 7 months' follow-up. Subsequently, we assessed left ventricular global longitudinal strain (LV-GLS) to evaluate left ventricular function. A total of 158 (75.9%) patients underwent baseline cardiac magnetic resonance (CMR). We estimated left ventricular infarct size by measuring peak levels of creatine kinase-myocardial band (CK-MB), and CMR-late gadolinium enhancement (LGE). RESULTS On the basis of the median CAVI value, the patients were allocated into high CAVI (CAVI ≥ 8.575) and low CAVI (CAVI < 8.575) groups. The groups showed no statistically significant differences in LV-GLS at baseline (-13.5% ± 3.1 vs. -13.9% ± 2.7%, P = 0.324). However, LV-GLS was significantly worse in the high CAVI group than in the low-CAVI group at 7 months (-14.0% ± 2.9 vs. -15.6% ± 3.0%, P < 0.001). Stratified by CAVI and peak CK-MB or LGE, the four groups showed significant differences in LV-GLS at 7 months after STEMI (both P < 0.001). Multivariate linear regression analysis with the forced inclusion model showed that CAVI was an independent predictor of LV-GLS at 7 months ( P = 0.015). CONCLUSION CAVI early after STEMI onset was significantly associated with chronic-phase LV-GLS. In addition, combining CAVI with CK-MB or LGE improves its predictive ability for evaluation of chronic-phase LV-GLS. Thus, the arterial stiffness assessment by CAVI was an important factor related to chronic-phase left ventricular dysfunction after the first STEMI.
Collapse
|
37
|
Fenski M, Grandy TH, Viezzer D, Kertusha S, Schmidt M, Forman C, Schulz-Menger J. Isotropic 3D compressed sensing (CS) based sequence is comparable to 2D-LGE in left ventricular scar quantification in different disease entities. Int J Cardiovasc Imaging 2022; 38:1837-1850. [PMID: 35243574 PMCID: PMC10509092 DOI: 10.1007/s10554-022-02571-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/14/2022] [Indexed: 11/27/2022]
Abstract
The goal of this study was to evaluate a three-dimensional compressed sensing (3D-CS) LGE prototype sequence for the detection and quantification of myocardial fibrosis in patients with chronic myocardial infarction (CMI) and myocarditis (MYC) compared with a 2D-LGE standard. Patients with left-ventricular LGE due to CMI (n = 33) or MYC (n = 20) were prospectively recruited. 2D-LGE and 3D-CS images were acquired in random order at 1.5 Tesla. 3D-CS short axis (SAX) images were reconstructed corresponding to 2D SAX images. LGE was quantitatively assessed on patient and segment level using semi-automated threshold methods. Image quality (4-point scoring system), Contrast-ratio (CR) and acquisition times were compared. There was no significant difference between 2D and 3D sequences regarding global LGE (%) (CMI [2D-LGE: 11.4 ± 7.5; 3D-LGE: 11.5 ± 8.5; p = 0.99]; MYC [2D-LGE: 27.0 ± 15.7; 3D-LGE: 26.2 ± 13.1; p = 0.70]) and segmental LGE-extent (p = 0.63). 3D-CS identified papillary infarction in 5 cases which was not present in 2D images. 2D-LGE acquisition time was shorter (2D: median: 06:59 min [IQR: 05:51-08:18]; 3D: 14:48 min [12:45-16:57]). 3D-CS obtained better quality scores (2D: 2.06 ± 0.56 vs. 3D: 2.29 ± 0.61). CR did not differ (p = 0.63) between basal and apical regions in 3D-CS images but decreased significantly in 2D apical images (CR basal: 2D: 0.77 ± 0.11, 3D: 0.59 ± 0.10; CR apical: 2D: 0.64 ± 0.17, 3D: 0.53 ± 0.11). 3D-LGE shows high congruency with standard LGE and allows better identification of small lesions. However, the current 3D-CS LGE sequence did not provide PSIR reconstruction and acquisition time was longer.
Collapse
Affiliation(s)
- Maximilian Fenski
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Charité Medical Faculty, Max-Delbrück Center for Molecular Medicine, Helios Klinikum Berlin Buch, Department of Cardiology and Nephrology, Charité - Universitätsmedizin Berlin, Kardiologie - ECRC, Lindenberger Weg 80, 13125, Berlin, Germany
| | - Thomas Hiroshi Grandy
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Charité Medical Faculty, Max-Delbrück Center for Molecular Medicine, Helios Klinikum Berlin Buch, Department of Cardiology and Nephrology, Charité - Universitätsmedizin Berlin, Kardiologie - ECRC, Lindenberger Weg 80, 13125, Berlin, Germany
| | - Darian Viezzer
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Charité Medical Faculty, Max-Delbrück Center for Molecular Medicine, Helios Klinikum Berlin Buch, Department of Cardiology and Nephrology, Charité - Universitätsmedizin Berlin, Kardiologie - ECRC, Lindenberger Weg 80, 13125, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Stela Kertusha
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Charité Medical Faculty, Max-Delbrück Center for Molecular Medicine, Helios Klinikum Berlin Buch, Department of Cardiology and Nephrology, Charité - Universitätsmedizin Berlin, Kardiologie - ECRC, Lindenberger Weg 80, 13125, Berlin, Germany
| | | | | | - Jeanette Schulz-Menger
- Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Charité Medical Faculty, Max-Delbrück Center for Molecular Medicine, Helios Klinikum Berlin Buch, Department of Cardiology and Nephrology, Charité - Universitätsmedizin Berlin, Kardiologie - ECRC, Lindenberger Weg 80, 13125, Berlin, Germany.
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
| |
Collapse
|
38
|
Chong JH, Abdulkareem M, Petersen SE, Khanji MY. Artificial intelligence and cardiovascular magnetic resonance imaging in myocardial infarction patients. Curr Probl Cardiol 2022; 47:101330. [PMID: 35870544 DOI: 10.1016/j.cpcardiol.2022.101330] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 07/17/2022] [Indexed: 11/03/2022]
Abstract
Cardiovascular magnetic resonance (CMR) is an important cardiac imaging tool for assessing the prognostic extent of myocardial injury after myocardial infarction (MI). Within the context of clinical trials, CMR is also useful for assessing the efficacy of potential cardioprotective therapies in reducing MI size and preventing adverse left ventricular (LV) remodelling in reperfused MI. However, manual contouring and analysis can be time-consuming with interobserver and intraobserver variability, which can in turn lead to reduction in accuracy and precision of analysis. There is thus a need to automate CMR scan analysis in MI patients to save time, increase accuracy, increase reproducibility and increase precision. In this regard, automated imaging analysis techniques based on artificial intelligence (AI) that are developed with machine learning (ML), and more specifically deep learning (DL) strategies, can enable efficient, robust, accurate and clinician-friendly tools to be built so as to try and improve both clinician productivity and quality of patient care. In this review, we discuss basic concepts of ML in CMR, important prognostic CMR imaging biomarkers in MI and the utility of current ML applications in their analysis as assessed in research studies. We highlight potential barriers to the mainstream implementation of these automated strategies and discuss related governance and quality control issues. Lastly, we discuss the future role of ML applications in clinical trials and the need for global collaboration in growing this field.
Collapse
Affiliation(s)
- Jun Hua Chong
- National Heart Centre Singapore, Singapore; Cardiovascular Sciences Academic Clinical Programme, Duke-National University of Singapore Medical School, Singapore.
| | - Musa Abdulkareem
- Barts Heart Centre, Barts Health National Health Service Trust, London, United Kingdom; National Institute for Health Research Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom; Health Data Research UK, London, United Kingdom
| | - Steffen E Petersen
- Barts Heart Centre, Barts Health National Health Service Trust, London, United Kingdom; National Institute for Health Research Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom; Health Data Research UK, London, United Kingdom; The Alan Turing Institute, London, United Kingdom
| | - Mohammed Y Khanji
- Barts Heart Centre, Barts Health National Health Service Trust, London, United Kingdom; National Institute for Health Research Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom; Department of Cardiology, Newham University Hospital, Barts Health NHS Trust, Glen Road, London E13 8SL, UK
| |
Collapse
|
39
|
Zhuang X, Xu J, Luo X, Chen C, Ouyang C, Rueckert D, Campello VM, Lekadir K, Vesal S, RaviKumar N, Liu Y, Luo G, Chen J, Li H, Ly B, Sermesant M, Roth H, Zhu W, Wang J, Ding X, Wang X, Yang S, Li L. Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Med Image Anal 2022; 81:102528. [PMID: 35834896 DOI: 10.1016/j.media.2022.102528] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/06/2021] [Accepted: 07/01/2022] [Indexed: 11/28/2022]
Abstract
Accurate computing, analysis and modeling of the ventricles and myocardium from medical images are important, especially in the diagnosis and treatment management for patients suffering from myocardial infarction (MI). Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) provides an important protocol to visualize MI. However, compared with the other sequences LGE CMR images with gold standard labels are particularly limited. This paper presents the selective results from the Multi-Sequence Cardiac MR (MS-CMR) Segmentation challenge, in conjunction with MICCAI 2019. The challenge offered a data set of paired MS-CMR images, including auxiliary CMR sequences as well as LGE CMR, from 45 patients who underwent cardiomyopathy. It was aimed to develop new algorithms, as well as benchmark existing ones for LGE CMR segmentation focusing on myocardial wall of the left ventricle and blood cavity of the two ventricles. In addition, the paired MS-CMR images could enable algorithms to combine the complementary information from the other sequences for the ventricle segmentation of LGE CMR. Nine representative works were selected for evaluation and comparisons, among which three methods are unsupervised domain adaptation (UDA) methods and the other six are supervised. The results showed that the average performance of the nine methods was comparable to the inter-observer variations. Particularly, the top-ranking algorithms from both the supervised and UDA methods could generate reliable and robust segmentation results. The success of these methods was mainly attributed to the inclusion of the auxiliary sequences from the MS-CMR images, which provide important label information for the training of deep neural networks. The challenge continues as an ongoing resource, and the gold standard segmentation as well as the MS-CMR images of both the training and test data are available upon registration via its homepage (www.sdspeople.fudan.edu.cn/zhuangxiahai/0/mscmrseg/).
Collapse
Affiliation(s)
- Xiahai Zhuang
- School of Data Science, Fudan University, Shanghai, China. https://www.sdspeople.fudan.edu.cn/zhuangxiahai/?
| | - Jiahang Xu
- School of Data Science, Fudan University, Shanghai, China.
| | - Xinzhe Luo
- School of Data Science, Fudan University, Shanghai, China
| | - Chen Chen
- Biomedical Image Analysis Group, Imperial College London, London, UK
| | - Cheng Ouyang
- Biomedical Image Analysis Group, Imperial College London, London, UK
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Imperial College London, London, UK
| | - Victor M Campello
- Department Mathematics & Computer Science, Universitat de Barcelona, Barcelona, Spain
| | - Karim Lekadir
- Department Mathematics & Computer Science, Universitat de Barcelona, Barcelona, Spain
| | - Sulaiman Vesal
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
| | | | - Yashu Liu
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Gongning Luo
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Jingkun Chen
- Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Hongwei Li
- Department of Informatics, Technical University of Munich, Germany
| | - Buntheng Ly
- INRIA, Université Côte d'Azur, Sophia Antipolis, France
| | | | | | | | - Jiexiang Wang
- School of Informatics, Xiamen University, Xiamen, China
| | - Xinghao Ding
- School of Informatics, Xiamen University, Xiamen, China
| | - Xinyue Wang
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Sen Yang
- College of Electrical Engineering, Sichuan University, Chengdu, China; Tencent AI Lab, Shenzhen, China
| | - Lei Li
- School of Data Science, Fudan University, Shanghai, China; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| |
Collapse
|
40
|
Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, Deswal A, Drazner MH, Dunlay SM, Evers LR, Fang JC, Fedson SE, Fonarow GC, Hayek SS, Hernandez AF, Khazanie P, Kittleson MM, Lee CS, Link MS, Milano CA, Nnacheta LC, Sandhu AT, Stevenson LW, Vardeny O, Vest AR, Yancy CW. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2022; 145:e895-e1032. [PMID: 35363499 DOI: 10.1161/cir.0000000000001063] [Citation(s) in RCA: 1099] [Impact Index Per Article: 366.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
AIM The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure." The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure. METHODS A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021. Structure: Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients' interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Anita Deswal
- ACC/AHA Joint Committee on Clinical Practice Guidelines Liaison
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
41
|
Kolentinis M, Carerj LM, Vidalakis E, Giokoglu E, Martin S, Arendt C, Vogl TJ, Nagel E, Puntmann VO. Determination of scar area using native and post-contrast T1 mapping: Agreement with late gadolinium enhancement. Eur J Radiol 2022; 150:110242. [PMID: 35290909 DOI: 10.1016/j.ejrad.2022.110242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/28/2022] [Accepted: 03/05/2022] [Indexed: 11/15/2022]
Abstract
The purpose of this study is to ascertain agreement in measurements of the scar area between late gadolinium enhancement (LGE), native and post-contrast T1 mapping in patients with known ischemic heart disease. 132 patients (age 60 ± 11 yrs, male 82%) were included in the study. Corresponding 3 short axis slices images of LGE, native and post contrast T1 mapping were used. Scar area was evaluated semi- quantitatively with FWHM methods, in which scar is automatically determined by specialized post-processing software. Agreement per culprit vessel was also assessed. Concordance and inter- intraobserver reproducibility were assessed with Bland-Altman analysis. The results show that scar area amounted to 12.6% of myocardium for LGE, 9.1% for native (p < 0.05) and 19.4% (p < 0.05) for post-contrast T1 mapping. LAD and RCA territory infarcts showed statistical discrepancy for both T1 acquisitions. Intraobserver differences in infarct size were comparable at 0.39% ± 0.28, 2.93% ± 0.03 and 0.97% ± 0.01 respectively (p≫0.05). Interobserver differences were 5.56% ± 0.91 for LGE, 11.87% ± 3.21 (p < 0.05) for native and 5.55% ± 2.87 (p≫0.05) for post-contrast T1 mapping. In conclusion, native T1 acquisitions systematically underestimated infarct size in comparison to LGE, while post-contrast T1 overestimated it. Variances in measurements were most pronounced for LAD and RCA territory infarcts. Intraobserver reproducibility was similar with both methods, whereas interobserver variability for native T1 mapping acquisition was worse.
Collapse
Affiliation(s)
- Michael Kolentinis
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site Rhein-Main, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
| | - Ludovica M Carerj
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site Rhein-Main, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Piazza Pugliatti 1, 98122, Messina, Italy
| | - Eleftherios Vidalakis
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site Rhein-Main, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Eleni Giokoglu
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site Rhein-Main, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Cardiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Simon Martin
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site Rhein-Main, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Christophe Arendt
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site Rhein-Main, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Eike Nagel
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site Rhein-Main, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Valentina O Puntmann
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK (German Centre for Cardiovascular Research) Centre for Cardiovascular Imaging, partner site Rhein-Main, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| |
Collapse
|
42
|
Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, Deswal A, Drazner MH, Dunlay SM, Evers LR, Fang JC, Fedson SE, Fonarow GC, Hayek SS, Hernandez AF, Khazanie P, Kittleson MM, Lee CS, Link MS, Milano CA, Nnacheta LC, Sandhu AT, Stevenson LW, Vardeny O, Vest AR, Yancy CW. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure. J Am Coll Cardiol 2022; 79:e263-e421. [PMID: 35379503 DOI: 10.1016/j.jacc.2021.12.012] [Citation(s) in RCA: 1257] [Impact Index Per Article: 419.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIM The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure." The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure. METHODS A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021. STRUCTURE Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients' interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.
Collapse
|
43
|
Putot A, Putot S, Chagué F, Cottin Y, Zeller M, Manckoundia P. New horizons in Type 2 myocardial infarction: pathogenesis, assessment and management of an emerging geriatric disease. Age Ageing 2022; 51:6565797. [PMID: 35397160 DOI: 10.1093/ageing/afac085] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Indexed: 11/13/2022] Open
Abstract
Type 2 myocardial infarction (MI) is characterised by a functional imbalance between myocardial oxygen supply and demand in the absence of a thrombotic process, leading to myocardial necrosis. This type of MI was relatively unknown among clinicians until the third universal definition of MI was published in 2017, differentiating Type 2 from Type 1 MI, which follows an acute atherothrombotic event. The pathogenesis, diagnostic and therapeutic aspects of Type 2 MI are described in the present review. Type 2 MI is a condition that is strongly linked to age because of vascular ageing concerning both epicardic vessels and microcirculation, age-related atherosclerosis and stress maladaptation. This condition predominantly affects multimorbid individuals with a history of cardiovascular disease. However, the conditions that lead to the functional imbalance between oxygen supply and demand are frequently extra-cardiac (e.g. pneumonia or anaemia). The great heterogeneity of the underlying etiological factors requires a comprehensive approach that is tailored to each case. In the absence of evidence for the benefit of invasive reperfusion strategies, the treatment of Type 2 MI remains to date essentially based on the restoration of the balance between oxygen supply and demand. For older co-morbid patients with Type 2 MI, geriatricians and cardiologists need to work together to optimise etiological investigations, treatment and prevention of predisposing conditions and precipitating factors.
Collapse
Affiliation(s)
- Alain Putot
- Unité Post Urgence Gériatrique, Centre Hospitalier Universitaire Sud Réunion, 97410 Saint Pierre, France
- Laboratoire Physiopathologie et Epidémiologie Cérébro-Cardiovasculaire – EA7460, Université de Bourgogne Franche Comté, 21000 Dijon, France
| | - Sophie Putot
- Unité Post Urgence Gériatrique, Centre Hospitalier Universitaire Sud Réunion, 97410 Saint Pierre, France
| | - Frédéric Chagué
- Service de Cardiologie, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France
| | - Yves Cottin
- Service de Cardiologie, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France
| | - Marianne Zeller
- Laboratoire Physiopathologie et Epidémiologie Cérébro-Cardiovasculaire – EA7460, Université de Bourgogne Franche Comté, 21000 Dijon, France
| | - Patrick Manckoundia
- Service de Médecine Interne Gériatrie, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France
| |
Collapse
|
44
|
Holtackers RJ, Emrich T, Botnar RM, Kooi ME, Wildberger JE, Kreitner KF. Late Gadolinium Enhancement Cardiac Magnetic Resonance Imaging: From Basic Concepts to Emerging Methods. ROFO-FORTSCHR RONTG 2022; 194:491-504. [PMID: 35196714 DOI: 10.1055/a-1718-4355] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Late gadolinium enhancement (LGE) is a widely used cardiac magnetic resonance imaging (MRI) technique to diagnose a broad range of ischemic and non-ischemic cardiomyopathies. Since its development and validation against histology already more than two decades ago, the clinical utility of LGE and its span of applications have increased considerably. METHODS In this review we will present the basic concepts of LGE imaging and its diagnostic and prognostic value, elaborate on recent developments and emerging methods, and finally discuss future prospects. RESULTS Continuous developments in 3 D imaging methods, motion correction techniques, water/fat-separated imaging, dark-blood methods, and scar quantification improved the performance and further expanded the clinical utility of LGE imaging. CONCLUSION LGE imaging is the current noninvasive reference standard for the assessment of myocardial viability. Improvements in spatial resolution, scar-to-blood contrast, and water/fat-separated imaging further strengthened its position. KEY POINTS · LGE MRI is the reference standard for the noninvasive assessment of myocardial viability. · LGE MRI is used to diagnose a broad range of non-ischemic cardiomyopathies in everyday clinical practice.. · Improvements in spatial resolution and scar-to-blood contrast further strengthened its position. · Continuous developments improve its performance and further expand its clinical utility. CITATION FORMAT · Holtackers RJ, Emrich T, Botnar RM et al. Late Gadolinium Enhancement Cardiac Magnetic Resonance Imaging: From Basic Concepts to Emerging Methods. Fortschr Röntgenstr 2022; DOI: 10.1055/a-1718-4355.
Collapse
Affiliation(s)
- Robert J Holtackers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, the Netherlands.,Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, the Netherlands.,School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - Tilman Emrich
- Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, Mainz, Germany.,Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - René M Botnar
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.,Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago, Chile
| | - M Eline Kooi
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, the Netherlands.,Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, the Netherlands
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, the Netherlands.,Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, the Netherlands
| | - K-F Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Germany
| |
Collapse
|
45
|
A Review of the Role of Imaging Modalities in the Evaluation of Viral Myocarditis with a Special Focus on COVID-19-Related Myocarditis. Diagnostics (Basel) 2022; 12:diagnostics12020549. [PMID: 35204637 PMCID: PMC8870822 DOI: 10.3390/diagnostics12020549] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/03/2022] [Accepted: 02/06/2022] [Indexed: 12/12/2022] Open
Abstract
Viral myocarditis is inflammation of the myocardium secondary to viral infection. The clinical presentation of viral myocarditis is very heterogeneous and can range from nonspecific symptoms of malaise and fatigue in subclinical disease to a more florid presentation, such as acute cardiogenic shock and sudden cardiac death in severe cases. The accurate and prompt diagnosis of viral myocarditis is very challenging. Endomyocardial biopsy is considered to be the gold standard test to confirm viral myocarditis; however, it is an invasive procedure, and the sensitivity is low when myocardial involvement is focal. Cardiac imaging hence plays an essential role in the noninvasive evaluation of viral myocarditis. The current coronavirus disease 2019 (COVID-19) pandemic has generated considerable interest in the use of imaging in the early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related myocarditis. This article reviews the role of various cardiac imaging modalities used in the diagnosis and assessment of viral myocarditis, including COVID-19-related myocarditis.
Collapse
|
46
|
van Stijn D, Planken RN, Groenink M, Blom N, de Winter RJ, Kuijpers T, Kuipers I. Practical Workflow for Cardiovascular Assessment and Follow-Up in Kawasaki Disease Based on Expert Opinion. Front Pediatr 2022; 10:873421. [PMID: 35757142 PMCID: PMC9218184 DOI: 10.3389/fped.2022.873421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/16/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Approximately 25% of the patients with a history of Kawasaki disease (KD) develop coronary artery pathology if left untreated, with coronary artery aneurysms (CAA) as an early hallmark. Depending on the severity of CAAs, these patients are at risk of myocardial ischemia, infarction and sudden death. In order to reduce cardiac complications it is crucial to accurately identify patients with coronary artery pathology by an integrated cardiovascular program, tailored to the severity of the existing coronary artery pathology. METHODS The development of this practical workflow for the cardiovascular assessment of KD patients involve expert opinions of pediatric cardiologists, infectious disease specialists and radiology experts with clinical experience in a tertiary KD reference center of more than 1000 KD patients. Literature was analyzed and an overview of the currently most used guidelines is given. CONCLUSIONS We present a patient-specific step-by-step, integrated cardiovascular follow-up approach based on expert opinion of a multidisciplinary panel with expertise in KD.
Collapse
Affiliation(s)
- Diana van Stijn
- Department of Pediatric Immunology, Rheumatology and Infectious Diseases, Emma Children's Hospital, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - R Nils Planken
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Maarten Groenink
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands.,Department of Cardiology, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Nico Blom
- Department of Pediatric Cardiology, Emma Children's Hospital, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Robbert J de Winter
- Department of Cardiology, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Taco Kuijpers
- Department of Pediatric Immunology, Rheumatology and Infectious Diseases, Emma Children's Hospital, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Irene Kuipers
- Department of Pediatric Cardiology, Emma Children's Hospital, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
47
|
Ballard DH, Jokerst C, Raptis CA, Pilgram TK, Woodard PK. Myocardial Cut-off Sign is a Sensitive and Specific Cardiac Computed Tomography and Magnetic Resonance Imaging Sign to Distinguish Left Ventricular Pseudoaneurysms From True Aneurysms. J Thorac Imaging 2022; 37:58-65. [PMID: 32427649 PMCID: PMC7666661 DOI: 10.1097/rti.0000000000000525] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
PURPOSE The purpose of this study was to describe the myocardial cut-off sign, assess its ability to distinguish left ventricular pseudoaneurysms (LV PSAs) from true aneurysms (LVAs), and compare its performance with other imaging findings and quantitative measurements used to differentiate LV PSAs from LVAs. MATERIALS AND METHODS This retrospective single-center study identified patients with preoperative cardiac computed tomography (CT) or magnetic resonance imaging (MRI) and surgically confirmed LVAs or LV PSAs over a 10-year period. Seventeen LV PSAs (11 MRI, 6 CT) and 18 LVAs (10 MRI, 8 CT) were included. The myocardial cut-off sign was objectively a >50% decrease in aneurysm sac wall thickness measured at 1 cm from the aneurysmal neck (measurements at 2 cm were also assessed) and subjectively an abrupt "cut-off" of myocardium for the aneurysm sac for PSA compared with a gradual tapering of sac wall thickness for LVA. Two radiologists independently evaluated images for the subjective presence of this sign. RESULTS The myocardial cut-off sign was 91% sensitive and 97% specific when measured 1 cm from the aneurysm neck. When measured at 2 cm from the neck, the sign was 100% sensitive and 69% specific. Subjective analysis of whether the myocardium appeared "cut-off" was 94% to 100% sensitive and 78% to 94% specific with excellent agreement for both PSA (κ=0.94) and LVA (κ=0.83). CONCLUSIONS The myocardial cut-off sign on cardiac CT and MRI is a sensitive and specific finding of LV PSA. Specificity is improved with objective measurements compared with subjective assessment (97% vs. 78% to 94%). This sign may help radiologists distinguish between LV PSAs and LVAs.
Collapse
Affiliation(s)
- David H. Ballard
- Mallinckrodt Institute of Radiology, Washington University
School of Medicine, St. Louis, MO, USA
| | - Clinton Jokerst
- Department of Radiology, Mayo Clinic Scottsdale,
Scottsdale, AZ
| | - Constantine A. Raptis
- Mallinckrodt Institute of Radiology, Washington University
School of Medicine, St. Louis, MO, USA
| | - Thomas K. Pilgram
- Mallinckrodt Institute of Radiology, Washington University
School of Medicine, St. Louis, MO, USA
| | - Pamela K. Woodard
- Mallinckrodt Institute of Radiology, Washington University
School of Medicine, St. Louis, MO, USA
| |
Collapse
|
48
|
OUP accepted manuscript. Eur Heart J Cardiovasc Imaging 2022; 23:465-475. [DOI: 10.1093/ehjci/jeab287] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/21/2021] [Indexed: 11/13/2022] Open
|
49
|
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection. Comput Biol Med 2021; 141:105145. [PMID: 34929466 DOI: 10.1016/j.compbiomed.2021.105145] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 12/13/2021] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Robust differentiation between infarcted and normal tissue is important for clinical diagnosis and precision medicine. The aim of this work is to investigate the radiomic features and to develop a machine learning algorithm for the differentiation of myocardial infarction (MI) and viable tissues/normal cases in the left ventricular myocardium on non-contrast Cine Cardiac Magnetic Resonance (Cine-CMR) images. METHODS Seventy-two patients (52 with MI and 20 healthy control patients) were enrolled in this study. MR imaging was performed on a 1.5 T MRI using the following parameters: TR = 43.35 ms, TE = 1.22 ms, flip angle = 65°, temporal resolution of 30-40 ms. N4 bias field correction algorithm was applied to correct the inhomogeneity of images. All images were segmented and verified simultaneously by two cardiac imaging experts in consensus. Subsequently, features extraction was performed within the whole left ventricular myocardium (3D volume) in end-diastolic volume phase. Re-sampling to 1 × 1 × 1 mm3 voxels was performed for MR images. All intensities within the VOI of MR images were discretized to 64 bins. Radiomic features were normalized to obtain Z-scores, followed by Student's t-test statistical analysis for comparison. A p-value < 0.05 was used as a threshold for statistically significant differences and false discovery rate (FDR) correction performed to report q-value (FDR adjusted p-value). The extracted features were ranked using the MSVM-RFE algorithm, then Spearman correlation between features was performed to eliminate highly correlated features (R2 > 0.80). Ten different machine learning algorithms were used for classification and different metrics used for evaluation and various parameters used for models' evaluation. RESULTS In univariate analysis, the highest area under the curve (AUC) of receiver operating characteristic (ROC) value was achieved for the Maximum 2D diameter slice (M2DS) shape feature (AUC = 0.88, q-value = 1.02E-7), while the average of univariate AUCs was 0.62 ± 0.08. In multivariate analysis, Logistic Regression (AUC = 0.93 ± 0.03, Accuracy = 0.86 ± 0.05, Recall = 0.87 ± 0.1, Precision = 0.93 ± 0.03 and F1 Score = 0.90 ± 0.04) and SVM (AUC = 0.92 ± 0.05, Accuracy = 0.85 ± 0.04, Recall = 0.92 ± 0.01, Precision = 0.88 ± 0.04 and F1 Score = 0.90 ± 0.02) yielded optimal performance as the best machine learning algorithm for this radiomics analysis. CONCLUSION This study demonstrated that using radiomics analysis on non-contrast Cine-CMR images enables to accurately detect MI, which could potentially be used as an alternative diagnostic method for Late Gadolinium Enhancement Cardiac Magnetic Resonance (LGE-CMR).
Collapse
|
50
|
Wang K, Zhang W, Li S, Bi X, Schmidt M, An J, Zheng J, Cheng J. Prognosis in patients with coronary heart disease and breath-holding limitations: a free-breathing cardiac magnetic resonance protocol at 3.0 T. BMC Cardiovasc Disord 2021; 21:580. [PMID: 34876015 PMCID: PMC8650562 DOI: 10.1186/s12872-021-02402-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 11/24/2021] [Indexed: 11/18/2022] Open
Abstract
Background and purpose Conventional cardiac magnetic resonance (CCMR) imaging is usually performed with breath-holding (BH), which is adverse in patients with BH limitations. We explored the ability of a free-breathing CMR (fCMR) protocol to prognosticate in patients with coronary heart diseases (CHD) and limited BH ability.
Methods Sixty-seven patients with CHD and limited BH abilities were prospectively enrolled in this study. All patients underwent comprehensive fCMR imaging at 3.0 T. The fCMR protocols included compressed sensing (CS) single-shot cine acceleration imaging, and motion-corrected (MOCO), single-shot late gadolinium enhancement (LGE) imaging. Image quality (IQ) of the cine and LGE images was evaluated based on the 5-point Likert scale. The value of fMRI in providing a prognosis in patients with CHD was assessed. Statistical methods included the T test, Mann–Whitney test, Kappa test, Kaplan–Meier curve, Log-rank test, Cox proportional hazard regression analysis, and receiver operating characteristic curves. Results All IQ scores of the short axis CS-cine and both the short and long axes MOCO LGE images were ≥ 3 points. Over a median follow-up of 31 months (range 3.8–38.2), 25 major adverse cardiovascular events (MACE) occurred. In the univariate analysis, infarction size (IS), left ventricular ejection fraction (LVEF), 3D-Global peak longitudinal strain (3D-GPLS), heart failure classification were significantly associated with MACE. When the significantly univariate MACE predictors, added to the multivariate analysis, which showed IS (HR 1.02; 95% CI 1.00–1.05; p = 0.048) and heart failure with preserved EF (HR 0.20; 95% CI 0.04–0.98; p = 0.048) correlated positively with MACE. The optimal cutoff value for LVEF, 3D-GPLS, and IS in predicting MACE was 34.2%, − 5.7%, and 26.1% respectively, with a sensitivity of 90.5%, 64%, and 96.0% and specificity of 72%, 95.2%, and 85.7% respectively. Conclusions The fCMR protocol can be used to make prognostic assessments in patients with CHD and BH limitations by calculating IS and LVEF.
Collapse
Affiliation(s)
- Keyan Wang
- MRI Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wenbo Zhang
- MRI Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuman Li
- MRI Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoming Bi
- Siemens Medical Solulations USA, Inc., Los Angeles, USA
| | | | - Jing An
- Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China
| | - Jie Zheng
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jingliang Cheng
- MRI Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| |
Collapse
|