|
1
|
Gomes NBN, Torres US, Ferraz MLCG, D'Ippolito G. Advanced Magnetic Resonance Imaging for Detection of Liver Fibrosis and Inflammation in Autoimmune Hepatitis: A State-of-the-Art Review. Semin Ultrasound CT MR 2024; 45:464-475. [PMID: 39069278 DOI: 10.1053/j.sult.2024.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Autoimmune hepatitis is a rare chronic liver disease, associated with a high level of morbidity and high mortality; approximately 40% of patients with severe untreated disease die within 6 months of diagnosis. It should be treated to achieve complete biochemical and histologic resolution of the disease using corticosteroids and immunosuppression to prevent further progression to cirrhosis. The use of invasive liver biopsy is recommended for the staging and assessment of inflammation and fibrosis for treatment decision-making in the face of an unsatisfactory response or clinical remission, including being a determinant for withdrawal of immunosuppression. On the other hand, liver biopsy is invasive, costly, and not free of complications. It also has potential sampling error and poor interobserver agreement. The limitations of liver biopsy highlight the importance of developing new imaging biomarkers that allow accurate and non-invasive assessment of autoimmune hepatitis in terms of liver inflammation and fibrosis, developing the virtual biopsy concept. Therefore, we review the state-of-the-art of Magnetic Resonance Imaging sequences for the noninvasive evaluation of autoimmune hepatitis, including historical advances and future directions.
Collapse
Affiliation(s)
- Natália B N Gomes
- Department of Radiology, Grupo Fleury, São Paulo, São Paulo, Brazil; Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, São Paulo, Brazil
| | - Ulysses S Torres
- Department of Radiology, Grupo Fleury, São Paulo, São Paulo, Brazil; Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, São Paulo, Brazil.
| | - Maria Lucia C G Ferraz
- Department of Gastroenterology, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, São Paulo, Brazil
| | - Giuseppe D'Ippolito
- Department of Radiology, Grupo Fleury, São Paulo, São Paulo, Brazil; Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, São Paulo, Brazil
| |
Collapse
|
|
2
|
Jiang Y, Fan F, Zhang P, Wang J, Huang W, Zheng Y, Guo R, Wang S, Zhang J. Staging liver fibrosis by a continuous-time random-walk diffusion model. Magn Reson Imaging 2024; 105:100-107. [PMID: 37956960 DOI: 10.1016/j.mri.2023.11.009] [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: 07/31/2023] [Revised: 10/25/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE Noninvasive assessment of liver fibrosis holds significant clinical importance. We aimed to evaluate the clinical potential of using a continuous-time random-walk diffusion model (CTRW) for staging liver fibrosis. METHODS This prospective study included 52 patients suspected of liver disease and scheduled for liver biopsy. All patients underwent multi-b value diffusion-weighted imaging (DWI) using a 1.5 T MR scanner to derive the anomalous diffusion coefficient (D) and temporal (α) and spatial (β) diffusion heterogeneity indexes sourced from the CTRW. The mono-exponential DWI-derived apparent diffusion coefficient (ADC), transient elastography-derived liver stiffness measurement (LSM), aspartate aminotransferase-to-platelet ratio index (APRI), and fibrosis-4 (FIB-4) index were calculated. We assessed and compared the correlations of these parameters with fibrosis stages and their efficacy in staging liver fibrosis. RESULTS Significant correlations with fibrosis stages were found for APRI (r = 0.336), FIB-4 (r = 0.351), LSM (r = 0.523), D (r = -0.458), and ADC (r = -0.473). Significant differences were observed between APRI, LSM, D, and ADC of different fibrosis stages. The diagnostic performance of an index that combined D, α, β, ADC, and LSM was superior to that of ADC or LSM alone for fibrosis stage F ≥ 2 and better than the index that combined D, α, β for fibrosis stage F ≥ 4. CONCLUSIONS Accurate liver fibrosis staging was achieved with a model that combined CTRW-derived parameters (D, α, and β), ADC, and LSM. The model could serve as a reliable tool for noninvasive fibrosis evaluation.
Collapse
Affiliation(s)
- Yanli Jiang
- Second Clinical School, Lanzhou University, Lanzhou, China; Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Fengxian Fan
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Pengfei Zhang
- Second Clinical School, Lanzhou University, Lanzhou, China; Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
| | - Jun Wang
- Second Clinical School, Lanzhou University, Lanzhou, China; Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
| | - Wenjing Huang
- Second Clinical School, Lanzhou University, Lanzhou, China; Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
| | - Yu Zheng
- Second Clinical School, Lanzhou University, Lanzhou, China; Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
| | - Ruiqing Guo
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Shaoyu Wang
- MR Scientific Marketing, Siemens Healthineers, Shanghai, China
| | - Jing Zhang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China.
| |
Collapse
|
|
3
|
Metens T. Can quantified diffusion-weighted imaging predict histopathological features of liver tumors? Eur Radiol 2023; 33:5953-5954. [PMID: 37391623 DOI: 10.1007/s00330-023-09791-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 04/28/2023] [Accepted: 05/02/2023] [Indexed: 07/02/2023]
Affiliation(s)
- Thierry Metens
- Department of Radiology, Hôpital Erasme HUB, Université libre de Bruxelles, Bruxelles, Belgium.
- Ecole polytechnique de Bruxelles, Université libre de Bruxelles, Bruxelles, Belgium.
| |
Collapse
|
|
4
|
Jang W, Jo S, Song JS, Hwang HP, Kim SH. Correction to: Comparison of diffusion‑weighted imaging and MR elastography in staging liver fibrosis: a meta‑analysis. Abdom Radiol (NY) 2023; 48:2763-2768. [PMID: 37231220 DOI: 10.1007/s00261-023-03942-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Affiliation(s)
- Weon Jang
- Department of Radiology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, Korea
- Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju, Jeonbuk, 54907, Korea
| | - Seongil Jo
- Department of Statistics, Inha University, Incheon, Korea
| | - Ji Soo Song
- Department of Radiology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea.
- Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, Korea.
- Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju, Jeonbuk, 54907, Korea.
| | - Hong Pil Hwang
- Department of Surgery, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
| | - Seong-Hun Kim
- Department of Internal Medicine, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
| |
Collapse
|
|
5
|
Hao L, Li Y, Xiong Z, Jiang Y, Hu X, Hu D, Li Z, Shen Y. Imaging Phenotypes and Evolution of Hepatic Langerhans Cell Histiocytosis on CT/MRI: A Retrospective Study of Clinical Cases and Literature Review. Bioengineering (Basel) 2023; 10:bioengineering10050598. [PMID: 37237668 DOI: 10.3390/bioengineering10050598] [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: 04/11/2023] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
(1) Background: pathological changes in hepatic Langerhans cell histiocytosis (LCH) have been observed; however, corresponding imaging findings can appear vague to physicians and radiologists. The present study aimed to comprehensively illustrate the imaging findings of hepatic LCH and to investigate the evolution of LCH-associated lesions. (2) Methods: LCH patients with liver involvement treated at our institution were retrospectively reviewed along with prior studies in PubMed. Initial and follow-up computed tomography (CT) and magnetic resonance imaging (MRI) were systematically reviewed, and three imaging phenotypes were created based on the lesion distribution pattern. Clinical features and prognoses were compared among the three phenotypes. Liver fibrosis was evaluated visually on T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) values of the fibrotic areas were measured. Descriptive statistics and a comparative analysis were used to analyze the data. (3) Results: based on the lesion distribution pattern on CT/MRI scans, patients with liver involvement were categorized as the disseminated lesion phenotype, scattered lesion phenotype, and central periportal lesion phenotype. Patients with scattered lesion phenotype were typically adults, and only a few of them had hepatomegaly (npresent = 1, 1/6, 16.7%) and liver biochemical abnormalities (npresent = 2, 2/6, 33.3%); patients with central periportal lesion phenotype were typically young children, and hepatomegaly and biochemical abnormalities were more apparent in these patients than those with another phenotype; and those with the disseminated lesion phenotype were found in all age groups, and the lesions evolved rapidly on medical imaging. Follow-up MRI scans show more details and can better document the evolution of lesions than CT. T2-hypointense fibrotic changes, including the periportal halo sign (npresent = 2, 2/9, 22.2%), patchy liver parenchyma changes (npresent = 6, 6/9, 66.7%), and giant hepatic nodules close to the central portal vein (npresent = 1, 1/9, 11.1%), were found, while fibrotic changes were not observed in patients with the scattered lesion phenotype. The mean ADC value for the area of liver fibrosis in each patient was lower than the optimal cutoff for significant fibrosis (METAVIR Fibrosis Stage ≥ 2) in a previous study that assessed liver fibrosis in chronic viral hepatitis. (4) Conclusions: The infiltrative lesions and liver fibrosis of hepatic LCH can be well characterized on MRI scans with DWI. The evolution of these lesions was well demonstrated on follow-up MRI scans.
Collapse
Affiliation(s)
- Luwen Hao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - Yuanqiu Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - Ziman Xiong
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - Yuchen Jiang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - Xuemei Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - Daoyu Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - Zhen Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - Yaqi Shen
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| |
Collapse
|
|
6
|
Hanniman E, Costa AF, Bowen CV, Abdolell M, Stueck A, McLeod M, Peltekian K, Rioux J, Clarke SE. Prospective Evaluation of Virtual MR Elastography With Diffusion-Weighted Imaging in Subjects With Nonalcoholic Fatty Liver Disease. J Magn Reson Imaging 2022; 56:1448-1456. [PMID: 35285996 DOI: 10.1002/jmri.28154] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is increasingly common worldwide and can lead to the development of cirrhosis, liver failure and cancer. Virtual magnetic resonance elastography (VMRE), which is based on a shifted apparent diffusion coefficient (sADC), is a potential noninvasive method to assess liver fibrosis without the specialized hardware and expertise required to implement traditional MR elastography (MRE). Although hepatic steatosis is known to confound ADC measurements, previous studies using VMRE have not corrected for hepatic fat fraction. PURPOSE To compare VMRE, corrected for the confounding effects of unsuppressed fat signal, to MRE and biopsy in subjects with suspected NAFLD. STUDY TYPE Prospective, cross-sectional. POPULATION A total of 49 adult subjects with suspected NAFLD (18 male; median age 55 years, range 33-74 years) who underwent liver biopsy. FIELD STRENGTH/SEQUENCE 3T, diffusion-weighted spin echo planar, chemical-shift encoded (IDEAL IQ) and MRE sequences. ASSESSMENT Two observers drew regions of interest on sADC, proton density fat fraction and MRE-derived stiffness maps. Fat-corrected sADC values were used to calculate the diffusion-based shear modulus according to the VMRE method. Predicted fibrosis stage for MRE and VMRE was determined using previously published cut-off values. STATISTICAL TESTS The relationship between VMRE and MRE was assessed with least-squares linear regression (coefficient of determination, R2 ). Agreement between MRE and VMRE-predicted fibrosis stage was evaluated with a kappa coefficient and accuracy compared using McNemar's test. A one-way ANOVA determined if the fat-corrected sADC (VMRE) and MRE differed by fibrosis stage. A P value < 0.05 was considered statistically significant. RESULTS Least squares regression of VMRE vs. MRE revealed R2 = 0.046 and a slope that was not significantly different from zero (P = 0.14). There was no agreement between MRE and VMRE-predicted fibrosis stage (kappa = -0.01). The proportion of correctly predicted fibrosis stage was significantly higher for MRE compared to VMRE. MRE was significantly associated with fibrosis stage, but fat-corrected sADC was not (P = 0.24). DATA CONCLUSION Fat-corrected VMRE was not associated with fibrosis stage in NAFLD. Further investigation is required if VMRE is to be considered in subjects with NAFLD. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
Collapse
Affiliation(s)
- Elyisha Hanniman
- Department of Diagnostic Radiology, Dalhousie University, Halifax, Nova Scotia, B3H 2Y9, Canada
| | - Andreu F Costa
- Department of Diagnostic Radiology, Dalhousie University, Halifax, Nova Scotia, B3H 2Y9, Canada
| | - Chris V Bowen
- Department of Diagnostic Radiology, Dalhousie University, Halifax, Nova Scotia, B3H 2Y9, Canada
| | - Mohamed Abdolell
- Department of Diagnostic Radiology, Dalhousie University, Halifax, Nova Scotia, B3H 2Y9, Canada
| | - Ashley Stueck
- Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Magnus McLeod
- Department of Medicine, Division of General Internal Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kevork Peltekian
- Department of Medicine, Division of Digestive Care and Endoscopy, Dalhousie University, Halifax, Nova Scotia, Canada
| | - James Rioux
- Department of Diagnostic Radiology, Dalhousie University, Halifax, Nova Scotia, B3H 2Y9, Canada
| | - Sharon E Clarke
- Department of Diagnostic Radiology, Dalhousie University, Halifax, Nova Scotia, B3H 2Y9, Canada
| |
Collapse
|
|
7
|
Welle CL, Olson MC, Reeder SB, Venkatesh SK. Magnetic Resonance Imaging of Liver Fibrosis, Fat, and Iron. Radiol Clin North Am 2022; 60:705-716. [PMID: 35989039 DOI: 10.1016/j.rcl.2022.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
|
8
|
Zou L, Jiang J, Zhang H, Zhong W, Xiao M, Xin S, Wang Y, Xing W. Comparing and combining MRE, T1ρ, SWI, IVIM, and DCE-MRI for the staging of liver fibrosis in rabbits: Assessment of a predictive model based on multiparametric MRI. Magn Reson Med 2021; 87:2424-2435. [PMID: 34931716 DOI: 10.1002/mrm.29126] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 11/27/2021] [Accepted: 11/29/2021] [Indexed: 12/19/2022]
Abstract
PURPOSE To establish and validate an optimal predictive model based on multiparametric MRI for staging liver fibrosis (LF) in rabbits with magnetic resonance elastography (MRE), spin-lattice relaxation time in the rotating frame (T1ρ imaging), SWI, intravoxel incoherent motion (IVIM), and DCE-MRI. METHODS The LF group included 120 rabbits induced by subcutaneous injections of carbon tetrachloride (CCl4 ); 30 normal rabbits served as the control group. Multiparametric MRI was performed, including MRE, T1ρ, SWI, IVIM, and DCE-MRI. The quantitative parameters were analyzed in two groups, with histopathological results serving as the reference standard. The diagnostic performance of multiparametric MRI and the predictive model established by multivariable logistic regression analysis were evaluated by receiver operating characteristic (ROC) curve analysis. RESULTS In total, 32, 67, and 51 rabbits were histologically diagnosed as no fibrosis (stage F0), early-stage LF (F1-F2), and advanced-stage LF (F3-F4), respectively. The LF stages presented a strong correlation with liver stiffness (LS) on MRE (r = 0.90), signal-intensity ratio (SIR) on SWI (r = -0.84), and Ktrans on DCE-MRI (r = 0.71; p < 0.05 for all). The LS and SIR parameters had higher AUC values for distinguishing early-stage LF from both no fibrosis (0.94 and 0.93, respectively) and advanced-stage LF (0.95 and 0.87, respectively). The predictive model showed a slightly higher AUC value of 0.97 (0.90-0.99) than LS and SIR in distinguishing early-stage LF from no fibrosis (p > 0.05), a significantly higher AUC value of 0.98 (0.93-0.99) than the SIR in distinguishing early-stage from advanced-stage LF (p < 0.05). CONCLUSION SWI, DCE-MRI, and MRE in particular showed improved performance for LF diagnosis and stage. The predictive model based on multiparametric MRI was found to further enhance diagnostic accuracy and could serve as an excellent imaging tool for staging LF.
Collapse
Affiliation(s)
- Liqiu Zou
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Jinzhao Jiang
- Department of Radiology, The University of Hong Kong Shenzhen Hospital, Shenzhen, China
| | - Hao Zhang
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Wenxin Zhong
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Min Xiao
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Shunbao Xin
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Yang Wang
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Wei Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, China
| |
Collapse
|
|
9
|
Hernando D, Zhang Y, Pirasteh A. Quantitative diffusion MRI of the abdomen and pelvis. Med Phys 2021; 49:2774-2793. [PMID: 34554579 DOI: 10.1002/mp.15246] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/05/2021] [Accepted: 09/15/2021] [Indexed: 12/14/2022] Open
Abstract
Diffusion MRI has enormous potential and utility in the evaluation of various abdominal and pelvic disease processes including cancer and noncancer imaging of the liver, prostate, and other organs. Quantitative diffusion MRI is based on acquisitions with multiple diffusion encodings followed by quantitative mapping of diffusion parameters that are sensitive to tissue microstructure. Compared to qualitative diffusion-weighted MRI, quantitative diffusion MRI can improve standardization of tissue characterization as needed for disease detection, staging, and treatment monitoring. However, similar to many other quantitative MRI methods, diffusion MRI faces multiple challenges including acquisition artifacts, signal modeling limitations, and biological variability. In abdominal and pelvic diffusion MRI, technical acquisition challenges include physiologic motion (respiratory, peristaltic, and pulsatile), image distortions, and low signal-to-noise ratio. If unaddressed, these challenges lead to poor technical performance (bias and precision) and clinical outcomes of quantitative diffusion MRI. Emerging and novel technical developments seek to address these challenges and may enable reliable quantitative diffusion MRI of the abdomen and pelvis. Through systematic validation in phantoms, volunteers, and patients, including multicenter studies to assess reproducibility, these emerging techniques may finally demonstrate the potential of quantitative diffusion MRI for abdominal and pelvic imaging applications.
Collapse
Affiliation(s)
- Diego Hernando
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Yuxin Zhang
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ali Pirasteh
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| |
Collapse
|
|
10
|
Comparison of diffusion-weighted imaging and MR elastography in staging liver fibrosis: a meta-analysis. Abdom Radiol (NY) 2021; 46:3889-3907. [PMID: 33770223 DOI: 10.1007/s00261-021-03055-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 03/02/2021] [Accepted: 03/09/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE To compare the diagnostic performance of diffusion-weighted imaging (DWI), gradient-recalled echo-based magnetic resonance elastography (GRE-MRE), and spin-echo echo-planar imaging-based MRE (SE-EPI-MRE) in liver fibrosis staging. METHODS A systematic literature search was done to collect studies on the performance of DWI, GRE-MRE, and SE-EPI-MRE for diagnosing liver fibrosis. Pooled sensitivity, specificity, diagnostic odds ratio, positive and negative likelihood ratio, and a summary receiver operating characteristic (ROC) curve were estimated with a bivariate random effects model. Subgroup analyses on various study characteristics were performed. RESULTS Sixty studies with a total of 6620 patients were included in the meta-analysis. Pooled sensitivity and specificity of GRE-MRE and SE-EPI-MRE showed high diagnostic accuracy and did not differ significantly. The area under the summary ROC curve for all stages of fibrosis differed significantly between DWI (0.83-0.88) and either GRE-MRE (0.95-0.97) or SE-EPI-MRE (0.95-0.99). Substantial heterogeneity was detected for all three imaging methods. CONCLUSIONS Both GRE-MRE and SE-EPI-MRE are highly accurate for detection of each liver fibrosis stage, with high potential to replace liver biopsy. Although DWI had a moderate accuracy in distinguishing liver fibrosis, it could be regarded as an alternative to MRE, since it is widely available and easily implemented in routine liver MRI.
Collapse
|
|
11
|
Abstract
Early diagnosis of hepatic fibrosis (HF) is pivotal for management to cease progression to cirrhosis and hepatocellular carcinoma. HF is the telltale sign of chronic liver disease, and confirmed by liver biopsy, which is an invasive technique and inclined to sampling errors. The morphologic parameters of cirrhosis are assessed on conventional imaging such as on ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI). Newer imaging modalities such as magnetic resonance elastography and US elastography are reliable and accurate. More research studies on novel imaging modalities such as MRI with diffusion weighted imaging, enhancement by hepatobiliary contrast agents, and CT using perfusion are essential for earlier diagnosis, surveillance and accurate management. The purpose of this article is to discuss non-invasive CT, MRI, and US imaging modalities for diagnosis and stratify HF.
Collapse
Affiliation(s)
- Mayur Virarkar
- Department of Neuroradiology, The University of Texas Health Science Center, Houston, TX.
| | - Ajaykumar C Morani
- Department of Abdominal Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Melissa W Taggart
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Priya Bhosale
- Department of Abdominal Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| |
Collapse
|
|
12
|
Kim TH, Jeong CW, Kim JE, Kim JW, Jo HG, Kim YR, Lee YH, Yoon KH. Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard. J Clin Med 2021; 10:jcm10081697. [PMID: 33920804 PMCID: PMC8071162 DOI: 10.3390/jcm10081697] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/11/2021] [Accepted: 04/12/2021] [Indexed: 01/04/2023] Open
Abstract
Image-based quantitative methods for liver heterogeneity (LHet) and nodularity (LNod) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing LHet and LNod and compared LHet and LNod according to fibrosis stages in chronic liver disease (CLD). Overall, 111 CLD patients and 16 subjects with suspected liver disease who underwent liver biopsy were enrolled. The procedures for quantifying LHet and LNod were bias correction, contour detection, liver segmentation, and LHet and LNod measurements. LHet and LNod scores among fibrosis stages (F0–F3) were compared using ANOVA with Tukey’s test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (AUROC) curve. The mean LHet scores of F0, F1, F2, and F3 were 3.49 ± 0.34, 5.52 ± 0.88, 6.80 ± 0.97, and 7.56 ± 1.79, respectively (p < 0.001). The mean LNod scores of F0, F1, F2, and F3 were 0.84 ± 0.06, 0.91 ± 0.04, 1.09 ± 0.08, and 1.15 ± 0.14, respectively (p < 0.001). The combined LHet × LNod scores of F0, F1, F2, and F3 were 2.96 ± 0.46, 5.01 ± 0.91, 7.30 ± 0.89, and 8.48 ± 1.34, respectively (p < 0.001). The AUROCs of LHet, LNod, and LHet × LNod for differentiating F1 vs. F2 and F2 vs. F3 were 0.845, 0.958, and 0.954; and 0.619, 0.689, and 0.761, respectively. The combination of LHet and LNod scores derived from routine MR images allows better differential diagnosis of fibrosis subgroups in CLD.
Collapse
Affiliation(s)
- Tae-Hoon Kim
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Korea; (C.-W.J.); (J.E.K.)
- Smart Health IT Center, Wonkwang University Hospital, Iksan 54538, Korea
- Correspondence: (T.-H.K.); (K.-H.Y.); Tel.: +82-63-859-1921 (K.-H.Y.)
| | - Chang-Won Jeong
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Korea; (C.-W.J.); (J.E.K.)
- Smart Health IT Center, Wonkwang University Hospital, Iksan 54538, Korea
| | - Ji Eon Kim
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Korea; (C.-W.J.); (J.E.K.)
| | - Jin Woong Kim
- Department of Radiology, Chosun University College of Medicine, Chosun University Hospital, Gwangju 61452, Korea;
| | - Hoon Gil Jo
- Department of Hepatology & Gastroenterology, Wonkwang University Hospital, Iksan 54538, Korea;
| | - Youe Ree Kim
- Department of Radiology, Wonkwang University School of Medicine, Wonkwang University Hospital, Iksan 54538, Korea; (Y.R.K.); (Y.H.L.)
| | - Young Hwan Lee
- Department of Radiology, Wonkwang University School of Medicine, Wonkwang University Hospital, Iksan 54538, Korea; (Y.R.K.); (Y.H.L.)
| | - Kwon-Ha Yoon
- Department of Radiology, Wonkwang University School of Medicine, Wonkwang University Hospital, Iksan 54538, Korea; (Y.R.K.); (Y.H.L.)
- Correspondence: (T.-H.K.); (K.-H.Y.); Tel.: +82-63-859-1921 (K.-H.Y.)
| |
Collapse
|
|
13
|
Koh DM, Ba-Ssalamah A, Brancatelli G, Fananapazir G, Fiel MI, Goshima S, Ju SH, Kartalis N, Kudo M, Lee JM, Murakami T, Seidensticker M, Sirlin CB, Tan CH, Wang J, Yoon JH, Zeng M, Zhou J, Taouli B. Consensus report from the 9 th International Forum for Liver Magnetic Resonance Imaging: applications of gadoxetic acid-enhanced imaging. Eur Radiol 2021; 31:5615-5628. [PMID: 33523304 PMCID: PMC8270799 DOI: 10.1007/s00330-020-07637-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/17/2020] [Accepted: 12/16/2020] [Indexed: 12/14/2022]
Abstract
Objectives The 9th International Forum for Liver Magnetic Resonance Imaging (MRI) was held in Singapore in September 2019, bringing together radiologists and allied specialists to discuss the latest developments in and formulate consensus statements for liver MRI, including the applications of gadoxetic acid–enhanced imaging. Methods As at previous Liver Forums, the meeting was held over 2 days. Presentations by the faculty on days 1 and 2 and breakout group discussions on day 1 were followed by delegate voting on consensus statements presented on day 2. Presentations and discussions centered on two main meeting themes relating to the use of gadoxetic acid–enhanced MRI in primary liver cancer and metastatic liver disease. Results and conclusions Gadoxetic acid–enhanced MRI offers the ability to monitor response to systemic therapy and to assist in pre-surgical/pre-interventional planning in liver metastases. In hepatocellular carcinoma, gadoxetic acid–enhanced MRI provides precise staging information for accurate treatment decision-making and follow-up post therapy. Gadoxetic acid–enhanced MRI also has potential, currently investigational, indications for the functional assessment of the liver and the biliary system. Additional voting sessions at the Liver Forum debated the role of multidisciplinary care in the management of patients with liver disease, evidence to support the use of abbreviated imaging protocols, and the importance of standardizing nomenclature in international guidelines in order to increase the sharing of scientific data and improve the communication between centers. Key Points • Gadoxetic acid–enhanced MRI is the preferred imaging method for pre-surgical or pre-interventional planning for liver metastases after systemic therapy. • Gadoxetic acid–enhanced MRI provides accurate staging of HCC before and after treatment with locoregional/biologic therapies. • Abbreviated protocols for gadoxetic acid–enhanced MRI offer potential time and cost savings, but more evidence is necessary. The use of gadoxetic acid–enhanced MRI for the assessment of liver and biliary function is under active investigation. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-020-07637-4.
Collapse
Affiliation(s)
- Dow-Mu Koh
- Department of Diagnostic Radiology, Royal Marsden Hospital, Sutton, UK.
| | - Ahmed Ba-Ssalamah
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Giuseppe Brancatelli
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BiND), University of Palermo, Palermo, Italy
| | | | - M Isabel Fiel
- Department of Pathology, Molecular and Cell Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Satoshi Goshima
- Department of Diagnostic Radiology & Nuclear Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Sheng-Hong Ju
- Department of Radiology, Zhongda Hospital, Southeast University, Nanjing, People's Republic of China
| | - Nikolaos Kartalis
- Department of Radiology Huddinge, Karolinska University Hospital, Stockholm, Sweden.,Division of Radiology, CLINTEC, Karolinska Institutet, Stockholm, Sweden
| | - Masatoshi Kudo
- Department of Hepatology and Gastroenterology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Jeong Min Lee
- Department of Radiology, College of Medicine, Seoul National University, Seoul, South Korea
| | - Takamichi Murakami
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Max Seidensticker
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, Munich, Germany
| | - Claude B Sirlin
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Cher Heng Tan
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Lee Kong Chian School of Medicine, Singapore, Singapore
| | - Jin Wang
- Department of Radiology, Third Affiliated Hospital of Sun Yat Sen University, Guangzhou, People's Republic of China
| | - Jeong Hee Yoon
- Department of Radiology, College of Medicine, Seoul National University, Seoul, South Korea
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Jian Zhou
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Bachir Taouli
- Department of Diagnostic, Molecular, and Interventional Radiology, BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| |
Collapse
|
|
14
|
Zou LQ, Zhao F, Zhang H, Zhang K, Xing W. Staging liver fibrosis on multiparametric MRI in a rabbit model with elastography, susceptibility-weighted imaging and T1ρ imaging: a preliminary study. Acta Radiol 2021; 62:155-163. [PMID: 32326722 DOI: 10.1177/0284185120917117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Magnetic resonance elastography (MRE), susceptibility-weighted imaging (SWI), and T1ρ are three techniques for staging of liver fibrosis (LF). PURPOSE To assess the value of MRE, SWI, and T1ρ imaging in staging LF. MATERIAL AND METHODS Sixty rabbits were injected with 50% CCl4oil solution, whereas 20 rabbits were given normal saline. All rabbits underwent pathological examination to determine LF stages. The liver stiffness (LS), liver-to-muscle signal intensity ratio (SIR), and T1ρ values were measured from MRE, SWI, and T1ρ imaging, respectively. RESULTS The number of rabbits was 14, 11, 10, 9, and 11 for F0, F1, F2, F3, and F4, respectively. LS (r = 0.91) and T1ρ (r = 0.51) positively correlated with LF stages, while negative correlation was present for SIR (r = -0.81). Among the three parameters, the LS values revealed the best diagnostic efficacy in staging LF, with an AUC value of 0.95 for ≥F1, 0.95 for ≥F2, 0.99 for ≥F3, and 0.98 for ≥F4. The combination of LS and SIR could best predict LF stages ≥F1, ≥F2, ≥F3 and ≥F4, with AUC values of 0.97, 0.98, 0.99, and 0.99, respectively, which were greater than those of the other two-paired parameters. A multiparametric analysis showed that the combination of all three parameters had AUC values of 0.97, 0.98, 1.00, and 1.00 for staging ≥F1, ≥F2, ≥F3, and ≥F4, respectively. CONCLUSION Multiparametric MR imaging was superior to individual imaging for LF staging.
Collapse
Affiliation(s)
- Li-Qiu Zou
- Department of Radiology, The Sixth Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, PR China
| | - Feng Zhao
- Department of Radiation Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, PR China
| | - Hao Zhang
- Department of Radiology, Affiliated Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, PR China
| | - Kai Zhang
- Department of Radiology, Affiliated Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, PR China
| | - Wei Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University & Changzhou First People’s Hospital, Changzhou, Jiangsu, PR China
| |
Collapse
|
|
15
|
Gomes NBN, Torres US, Ferraz MLCG, D'Ippolito G. Autoimmune hepatitis in practice, from diagnosis to complications: What is the role of imaging? A clinicoradiological review. Clin Imaging 2021; 74:31-40. [PMID: 33429144 DOI: 10.1016/j.clinimag.2020.12.032] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 12/19/2020] [Accepted: 12/28/2020] [Indexed: 12/12/2022]
Abstract
Autoimmune hepatitis (AIH) is a chronic inflammatory liver disease of unknown origin that can lead to liver cirrhosis, hepatocellular carcinoma (HCC), liver transplantation or death. The diagnosis is performed upon a multifactorial score. Treatment is based on the combination of immunosuppressants and aims at clinical, laboratory and histological remission, the latter being the most difficult to be achieved and proven. The absence of liver inflammation, defined by biopsy, is the main determinant in remission or therapeutic modification. Imaging exams have a limited role in this clinical management and the main findings are those related to chronic liver disease. Imaging's relevance, therefore, lies mainly in helping to exclude overlapping syndromes and in assessing complications related to cirrhosis, such as in screening for HCC. In recent years, however, the radiological literature has been witnessing increasing advances with regard to imaging biomarkers in liver disease, leading some authors to consider a future of virtual liver biopsy performed by magnetic resonance imaging. The present study aims to review the role of imaging in the management of AIH in the light of recent advances in the current literature and to provide an illustrated guide with the main findings described in the disease.
Collapse
Affiliation(s)
- Natália Borges Nunes Gomes
- Fleury Group, São Paulo, Brazil; Department of Diagnostic Imaging, Hospital São Paulo, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Ulysses S Torres
- Fleury Group, São Paulo, Brazil; Department of Diagnostic Imaging, Hospital São Paulo, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
| | | | - Giuseppe D'Ippolito
- Fleury Group, São Paulo, Brazil; Department of Diagnostic Imaging, Hospital São Paulo, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| |
Collapse
|
|
16
|
Association between liver diffusion-weighted imaging apparent diffusion coefficient values and other measures of liver disease in pediatric autoimmune liver disease patients. Abdom Radiol (NY) 2021; 46:197-204. [PMID: 32462385 DOI: 10.1007/s00261-020-02595-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Multiple quantitative magnetic resonance imaging (MRI) methods have been described to noninvasively detect and characterize liver fibrosis, including diffusion-weighted imaging (DWI). PURPOSE To evaluate associations between liver MRI DWI apparent diffusion coefficient (ADC) values and clinical factors and other quantitative liver MRI metrics in pediatric patients with autoimmune liver disease (AILD). MATERIALS AND METHODS Fifty-seven research liver MRI examinations performed from January 2017 to August 2018 for pediatric AILD registry participants were evaluated. Liver DWI ADC values, liver and spleen stiffness (kPa), and iron-corrected T1 (cT1; Perspectum Diagnostics) were measured at four anatomic levels. Participant age, sex, and laboratory data (alanine aminotransferase [ALT], total bilirubin, alkaline phosphatase, gamma-glutamyl transferase [GGT]) were recorded. Spearman's rank-order correlation (rho) and multiple linear regression were used to evaluate the associations between liver ADC values and predictor variables. RESULTS Mean (SD) participant age was 14.8 (4.0) years, 45.6% (26/57) were girls. Mean liver DWI ADC value was 1.34 (0.14 × 10-3) mm2/s. Liver ADC values showed weak to moderate correlations with liver stiffness (r = - 0.42, p = 0.001), spleen stiffness (r = - 0.34; p = 0.015), whole-liver mean cT1 (r = - 0.39; p = 0.007), ALT (r = - 0.50; p = 0.0001), and GGT (r = - 0.48; p = 0.0004). Multiple linear regression showed liver stiffness (p = 0.0009) and sex (p = 0.023) to be independent predictors of liver ADC values. CONCLUSION Liver DWI ADC values are significantly associated with liver and spleen stiffnesses, liver cT1, ALT, GGT, and participant sex, with liver stiffness and sex remaining significant at multivariable regression. Liver ADC ultimately may play a role in multi-parametric prediction of chronic liver disease/fibrosis severity.
Collapse
|
|
17
|
Zhou IY, Montesi SB, Akam EA, Caravan P. Molecular Imaging of Fibrosis. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00077-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
|
|
18
|
Mostafa MA, Kamal O, Yassin A, Nagi MA, Ahmed OA, Ahmed HA. The diagnostic value of normalized ADC using spleen as reference organ in assessment liver fibrosis. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020. [DOI: 10.1186/s43055-020-00212-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
To investigate the value of liver ADC normalization using spleen as a reference organ in liver fibrosis assessment compared to Fibroscan.
A total of 60 participants were included, 30 HCV positive patients and 30 in control group. We calculated mean spleen apparent diffusion coefficient (ADC), liver mean ADC, and normalized liver ADC (defined as the ratio of liver ADC to spleen ADC) which were compared between cirrhotic patients and the control group. Data was analyzed, and ROC was used to evaluate the performance of nADC.
Results
No significant difference between spleen ADC values of patient and control groups or in-between different fibrosis stages. A negative correlation between liver ADC and nADC values with increasing fibrosis stages. We also found that the mean liver ADC and nADC value in patients with hepatic fibrosis were significantly lower than that of control group (1.53 × 10−3 mm2/s vs 1.65 × 10−3 mm2/s). After analysis with ROC, nADC shows higher diagnostic performance compared to liver ADC. nADC area under the curve (AUC) was 0.878 for detection of stage ≥ F2 with sensitivity and specificity of 87% and 80% respectively while ADC AUC was 0.548 with sensitivity and specificity of 62% and 72% respectively (p = 0.021); ≥ F3 AUC of nADC was 0.891 with sensitivity and specificity of 88.7% and 80% respectively while ADC AUC is 0.603 with sensitivity and specificity of 72% and 72% respectively (p = 0.023), and F4 stage nADC AUC was 0.879 for with sensitivity and specificity of 90% and 80% respectively, while ADC AUC was 0.648 with sensitivity and specificity of 80% and 72% respectively (p = 0.054).
Conclusion
Normalized liver ADC using the spleen as reference organs increases the diagnostic performance of MR in evaluation liver fibrosis compared to ADC alone.
Collapse
|
|
19
|
Taouli B, Alves FC. Imaging biomarkers of diffuse liver disease: current status. Abdom Radiol (NY) 2020; 45:3381-3385. [PMID: 32583139 DOI: 10.1007/s00261-020-02619-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 06/09/2020] [Accepted: 06/13/2020] [Indexed: 12/15/2022]
Abstract
We are happy to introduce this special issue of Abdominal Radiology on "diffuse liver disease". We have invited imaging experts to discuss various topics pertaining to diffuse liver disease, covering a vast array of imaging techniques including ultrasound (US), CT, MRI and new molecular imaging agents. Below, we briefly discussed the current status, limitations, and future directions of imaging biomarkers of diffuse liver disease.
Collapse
Affiliation(s)
- Bachir Taouli
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine At Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine At Mount Sinai, New York, NY, USA.
| | | |
Collapse
|
|
20
|
Quantification of liver function using gadoxetic acid-enhanced MRI. Abdom Radiol (NY) 2020; 45:3532-3544. [PMID: 33034671 PMCID: PMC7593310 DOI: 10.1007/s00261-020-02779-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 08/20/2020] [Accepted: 09/21/2020] [Indexed: 02/06/2023]
Abstract
The introduction of hepatobiliary contrast agents, most notably gadoxetic acid (GA), has expanded the role of MRI, allowing not only a morphologic but also a functional evaluation of the hepatobiliary system. The mechanism of uptake and excretion of gadoxetic acid via transporters, such as organic anion transporting polypeptides (OATP1,3), multidrug resistance-associated protein 2 (MRP2) and MRP3, has been elucidated in the literature. Furthermore, GA uptake can be estimated on either static images or on dynamic imaging, for example, the hepatic extraction fraction (HEF) and liver perfusion. GA-enhanced MRI has achieved an important role in evaluating morphology and function in chronic liver diseases (CLD), allowing to distinguish between the two subgroups of nonalcoholic fatty liver diseases (NAFLD), simple steatosis and nonalcoholic steatohepatitis (NASH), and help to stage fibrosis and cirrhosis, predict liver transplant graft survival, and preoperatively evaluate the risk of liver failure if major resection is planned. Finally, because of its noninvasive nature, GA-enhanced MRI can be used for long-term follow-up and post-treatment monitoring. This review article aims to describe the current role of GA-enhanced MRI in quantifying liver function in a variety of hepatobiliary disorders.
Collapse
|
|
21
|
Zhou IY, Catalano OA, Caravan P. Advances in functional and molecular MRI technologies in chronic liver diseases. J Hepatol 2020; 73:1241-1254. [PMID: 32585160 PMCID: PMC7572718 DOI: 10.1016/j.jhep.2020.06.020] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 06/11/2020] [Accepted: 06/15/2020] [Indexed: 02/06/2023]
Abstract
MRI has emerged as the most comprehensive non-invasive diagnostic tool for liver diseases. In recent years, the value of MRI in hepatology has been significantly enhanced by a wide range of contrast agents, both clinically available and under development, that add functional information to anatomically detailed morphological images, or increase the distinction between normal and pathological tissues by targeting molecular and cellular events. Several classes of contrast agents are available for contrast-enhanced hepatic MRI, including i) conventional non-specific extracellular fluid contrast agents for assessing tissue perfusion; ii) hepatobiliary-specific contrast agents that are taken up by functioning hepatocytes and excreted through the biliary system for evaluating hepatobiliary function; iii) superparamagnetic iron oxide particles that accumulate in Kupffer cells; and iv) novel molecular contrast agents that are biochemically targeted to specific molecular/cellular processes for staging liver diseases or detecting treatment responses. The use of different functional and molecular MRI methods enables the non-invasive assessment of disease burden, progression, and treatment response in a variety of liver diseases. A high diagnostic performance can be achieved with MRI by combining imaging biomarkers.
Collapse
Affiliation(s)
- Iris Y Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA; Institute for Innovation in Imaging (i(3)), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Onofrio A Catalano
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA; Division of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA; Institute for Innovation in Imaging (i(3)), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
| |
Collapse
|
|
22
|
Xiao BH, Huang H, Wang LF, Qiu SW, Guo SW, Wáng YXJ. Diffusion MRI Derived per Area Vessel Density as a Surrogate Biomarker for Detecting Viral Hepatitis B-Induced Liver Fibrosis: A Proof-of-Concept Study. SLAS Technol 2020; 25:474-483. [PMID: 32292088 DOI: 10.1177/2472630320915838] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Liver vessel density can be evaluated by an imaging biomarker diffusion-derived vessel density (DDVD): DDVD/area(b0b2) = Sb0/ROIarea0 - Sb2/ROIarea2, where Sb0 and Sb2 refer to the liver signal when b is 0 or 2 (s/mm2); ROIarea0 and ROIarea2 refer to the region of interest (ROI) on b = 0 or 2 images; and Sb2 may be replaced by Sb15 (b = 15). This concept was validated in this study. Liver diffusion images were acquired at 1.5 T. For a scan-rescan repeatability study of six subjects, b values of 0 and 2 were used. The validation study was composed of 26 healthy volunteers and 19 consecutive suspected chronic viral hepatitis B patients, and diffusion images with b values of 0, 2, 15, 20, 30, 45, 50, 60, 80, 100, 200, 300, 600, and 800 were acquired. Four patients did not have liver fibrosis, and the rest were four stage 1, three stage 2, four stage 3, and one stage 4 patients, respectively. The intraclass correlation coefficient for repeatability was 0.994 for DDVD/area(Sb0Sb2) and 0.978 for DDVD/area(Sb0Sb15). In the validation study, DDVD/area(Sb0Sb2) and area(Sb0Sb15) were 14.80 ± 3.06 and 26.58 ± 3.97 for healthy volunteers, 10.51 ± 1.51 and 20.15 ± 2.21 for stage 1-2 fibrosis patients, and 9.42 ± 0.87 and 19.42 ± 1.89 for stage 3-4 fibrosis patients. For 16 patients where IVIM analysis was performed, a combination of DDVD/area, PF, and Dfast achieved the best differentiation for nonfibrotic livers and fibrotic livers. DDVD/area were weakly correlated with PF or Dfast. Both DDVD/area(Sb0Sb2) and area(Sb0Sb15) are useful imaging biomarkers to separate fibrotic and nonfibrotic livers, with fibrotic livers having lower measurements.
Collapse
Affiliation(s)
- Ben-Heng Xiao
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong Province, China.,Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
| | - Hua Huang
- Department of Radiology, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Li-Fei Wang
- Department of Radiology, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Shi-Wen Qiu
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong Province, China
| | - Sheng-Wen Guo
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong Province, China
| | - Yì Xiáng J Wáng
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong Province, China
| |
Collapse
|
|
23
|
Clinical and Preclinical Imaging of Hepatosplenic Schistosomiasis. Trends Parasitol 2019; 36:206-226. [PMID: 31864895 DOI: 10.1016/j.pt.2019.11.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/22/2019] [Accepted: 11/30/2019] [Indexed: 12/12/2022]
Abstract
Schistosomiasis, a neglected tropical disease, is a major cause of chronic morbidity and disability, and premature death. The hepatosplenic form of schistosomiasis is characterized by hepatosplenomegaly, liver fibrosis, portal hypertension, and esophageal varices, whose rupture may cause bleeding and death. We review currently available abdominal imaging modalities and describe their basic principles, strengths, weaknesses, and usefulness in the assessment of hepatosplenic schistosomiasis (HSS). Advanced imaging methods are presented that could be of interest for hepatosplenic schistosomiasis evaluation by yielding morphological, functional, and molecular parameters of disease progression. We also provide a comprehensive view of preclinical imaging studies and current research objectives such as parasite visualization in hosts, follow-up of the host's immune response, and development of noninvasive quantitative methods for liver fibrosis assessment.
Collapse
|
|
24
|
Zheng Y, Xu YS, Liu Z, Liu HF, Zhai YN, Mao XR, Lei JQ. Whole-Liver Apparent Diffusion Coefficient Histogram Analysis for the Diagnosis and Staging of Liver Fibrosis. J Magn Reson Imaging 2019; 51:1745-1754. [PMID: 31729811 DOI: 10.1002/jmri.26987] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 10/17/2019] [Accepted: 10/18/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Conventional diffusion-weighted imaging is limited in the quantitative evaluation of liver fibrosis, and whole-liver apparent diffusion coefficient (ADC) histogram analysis might contribute to the diagnosis and staging of liver fibrosis. PURPOSE To explore the value of whole-liver ADC histogram parameters in the diagnosis and staging of liver fibrosis. STUDY TYPE Retrospective. POPULATION Twenty individuals with no liver disease and 86 patients with liver fibrosis, including 30 with chronic viral hepatitis, 29 with autoimmune hepatitis, and 27 with unexplained liver fibrosis patients. FIELD STRENGTH/SEQUENCE 3.0T/T1 -weighted, T2 -weighted, and diffusion-weighted images. ASSESSMENT A region of interest (ROI) was drawn in each slice of the diffusion-weighted images. Whole-liver histogram parameters were obtained with dedicated software by accumulating all ROIs. The effectiveness of the parameters in differentiating stage 1 or greater (≥F1), stage 2 or greater (≥F2), and stage 3 or greater (≥F3) liver fibrosis was assessed. STATISTICAL TESTS Mann-Whitney U-test and receiver operating characteristic curve analysis. RESULTS Kurtosis, entropy, skewness, mode, and 90th and 75th percentiles exhibited significant differences among the pathological fibrosis stages (P < 0.05). Kurtosis was found to be the most meaningful parameter in differentiating fibrosis stages of the viral hepatitis, autoimmune hepatitis, and unexplained liver fibrosis group (area under the curve) (AUC = 0.793, 0.771, 0.798, respectively). In the combined liver fibrosis group, kurtosis achieved the highest AUC (0.801; 95% confidence interval [CI]: 0.702-0.900; sensitivity: 0.750; specificity: 0.850; positive likelihood ratio: 4.953; negative likelihood ratio: 0.302; positive predictive value: 0.946; negative predictive value: 0.486), with a cutoff value of 1.817, in differentiating fibrosis stage ≥F1. DATA CONCLUSION Kurtosis, entropy, skewness, mode, and 90th and 75th percentiles may contribute to the diagnosis and staging of liver fibrosis, especially kurtosis. LEVEL OF EVIDENCE 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:1745-1754.
Collapse
Affiliation(s)
- You Zheng
- First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China.,Department of Radiology, First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Yong-Sheng Xu
- First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China
| | - Zhao Liu
- First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China
| | - Hai-Feng Liu
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - Ya-Nan Zhai
- First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China
| | - Xiao-Rong Mao
- Department of Infectious Diseases, First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Jun-Qiang Lei
- First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China
| |
Collapse
|
|
25
|
Ruetten PPR, Gillard JH, Graves MJ. Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging. Br J Radiol 2019; 92:20181016. [PMID: 30933548 DOI: 10.1259/bjr.20181016] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Quantitative Susceptibility Mapping (QSM) and Susceptibility Weighted Imaging (SWI) are MRI techniques that measure and display differences in the magnetization that is induced in tissues, i.e. their magnetic susceptibility, when placed in the strong external magnetic field of an MRI system. SWI produces images in which the contrast is heavily weighted by the intrinsic tissue magnetic susceptibility. It has been applied in a wide range of clinical applications. QSM is a further advancement of this technique that requires sophisticated post-processing in order to provide quantitative maps of tissue susceptibility. This review explains the steps involved in both SWI and QSM as well as describing some of their uses in both clinical and research applications.
Collapse
Affiliation(s)
- Pascal P R Ruetten
- 1Department of Radiology, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jonathan H Gillard
- 1Department of Radiology, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Martin J Graves
- 2Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| |
Collapse
|
|
26
|
Liver MRI susceptibility-weighted imaging (SWI) compared to T2* mapping in the presence of steatosis and fibrosis. Eur J Radiol 2019; 118:66-74. [PMID: 31439261 DOI: 10.1016/j.ejrad.2019.07.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 06/22/2019] [Accepted: 07/01/2019] [Indexed: 12/20/2022]
Abstract
PURPOSE To show that both susceptibility-weighted imaging (SWI) and T2*-mapping are dependent on liver steatosis, which should be taken into account when using these parameters to grade liver fibrosis and cirrhosis. METHODS In this prospective study, a total of 174 patients without focal liver disease underwent multiparametric MRI at 3 T including SWI, T1- and T2* mapping, proton density fat fraction (PDFF) quantification and MR elastography. SWI, T2* and T1 were measured in the liver (4 locations), as well as in paraspinal muscles, to calculate the liver-to-muscle ratio (LMR). Liver and LMR values were compared among patients with different steatosis grades (PDFF < 5%, 5-10%, 10-20% and >20%), patients with normal, slightly increased and increased liver stiffness (<2.8 kPa, 2.8-3.5 kPa and >3.5 kPa, respectively). ANOVA with Bonferroni-corrected post hoc tests as well as a multivariate analysis were used to compare values among groups and parameters. RESULTS SWI and T2* both differed significantly among groups with different steatosis grades (p < 0.001). However, SWI allowed a better differentiation among liver fibrosis grades (p < 0.001) than did T2* (p = 0.05). SWI LMR (p < 0.001) and T2* LMR (p = 0.036) showed a similar performance in differentiating among liver fibrosis grades. CONCLUSION SWI and T2*-mapping are strongly dependent on the liver steatosis grades. Nevertheless, both parameters are useful predictors for liver fibrosis when using a multiparametric approach.
Collapse
|
|
27
|
Huang H, Che-Nordin N, Wang LF, Xiao BH, Chevallier O, Yun YX, Guo SW, Wáng YXJ. High performance of intravoxel incoherent motion diffusion MRI in detecting viral hepatitis-b induced liver fibrosis. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:39. [PMID: 30906743 PMCID: PMC6389585 DOI: 10.21037/atm.2018.12.33] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 12/23/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Recently a small cohort study demonstrated that intravoxel incoherent motion (IVIM) diffusion MRI can detect early stage liver fibrosis. Using modified IVIM data acquisition parameters, the current study aims to confirm this finding. METHODS Twenty-six healthy volunteers, three patients of chronic viral hepatitis-b but without fibrosis and one mild liver steatosis subject, and 12 viral hepatitis-b patients with fibrosis (stage 1-2=7, stage 3-4=5) were included in this study. With a 1.5-T MR scanner and respiration-gating, IVIM diffusion imaging was acquired using a single-shot echo-planar sequence with a b-value series of 2, 0, 1, 15, 20, 30, 45, 50, 60, 80, 100, 200, 300, 600, 800 s/mm2. Signal measurement was performed on right liver parenchyma. The first three very low b-values were excluded to improve the curve fitting stability, and bi-exponential segmented fitting was performed using the 12 b-values of 15~800 s/mm2. Both threshold b-values of 60 s/mm2 and 200 s/mm2 were tested. With a 3-dimensional tool, Dslow (D), PF (f) and Dfast (D*) values were placed along the x-axis, y-axis, and z-axis, and a plane was defined to separate healthy volunteers from liver fibrosis patients. RESULTS Threshold b-value of 60 s/mm2 was preferred over 200 s/mm2 for separating healthy volunteers and liver fibrosis patients. The IVIM measures of the four patients without fibrosis resembled those of healthy volunteers. When threshold b-value =60 s/mm2 was applied, PF (PF <6.49%) could differentiate healthy livers and all fibrotic livers with 100% sensitivity and specificity. For the patients' measurement, PF and Dfast were highly correlated with a Pearson correlation coefficient r of 0.865 (P<0.001); while the correlations between slow diffusion compartment (Dslow) and fast diffusion compartment (Dfast or PF) were not statistically significant. CONCLUSIONS This study confirms previous report that IVIM diffusion MRI has high diagnostic performance in detecting viral hepatitis-b induced liver fibrosis.
Collapse
Affiliation(s)
- Hua Huang
- Department of Radiology, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518000, China
| | - Nazmi Che-Nordin
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
| | - Li-Fei Wang
- Department of Radiology, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518000, China
| | - Ben-Heng Xiao
- Department of Biomedical Engineering, South China University of Technology, Guangzhou 510000, China
| | - Olivier Chevallier
- Department of Vascular and Interventional Radiology, François-Mitterrand Teaching Hospital, Université de Bourgogne, Dijon Cedex, France
| | - Yong-Xing Yun
- Department of Radiology, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518000, China
| | - Sheng-Wen Guo
- Department of Biomedical Engineering, South China University of Technology, Guangzhou 510000, China
| | - Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
| |
Collapse
|
|
28
|
Cai Y, Huang MP, Wang XF, Lu X, Luo L, Shu J. Quantitative analysis of susceptibility-weighted magnetic resonance imaging in chronic hepatitis in rats. Magn Reson Imaging 2018; 54:71-76. [DOI: 10.1016/j.mri.2018.08.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Revised: 08/01/2018] [Accepted: 08/17/2018] [Indexed: 02/07/2023]
|
|
29
|
Munsterman ID, Duijnhouwer AL, Kendall TJ, Bronkhorst CM, Ronot M, van Wettere M, van Dijk APJ, Drenth JPH, Tjwa ETTL, van Dijk APJ, Drenth JPH, Duijnhouwer AL, van Kimmenade RRJ, van Koeverden SW, Munsterman ID, Tanke RB, Tjwa ETTL, Udink ten Cate FEA. The clinical spectrum of Fontan-associated liver disease: results from a prospective multimodality screening cohort. Eur Heart J 2018; 40:1057-1068. [DOI: 10.1093/eurheartj/ehy620] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 07/04/2018] [Accepted: 09/14/2018] [Indexed: 12/13/2022] Open
Affiliation(s)
- Isabelle D Munsterman
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Postbus 9101, Geert Grooteplein Zuid 10, HB Nijmegen, the Netherlands
| | - Anthonie L Duijnhouwer
- Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, HB Nijmegen, the Netherlands
| | - Timothy J Kendall
- Department of Pathology, Division of Pathology, University of Edinburgh, Douth Bridge, Edinburgh, UK
| | - Carolien M Bronkhorst
- Department of Pathology, Jeroen Bosch Hospital, Henri Dunantstraat 15223 GZ ‘s-Hertogenbosch, the Netherlands
| | - Maxime Ronot
- Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, 100 Boulevard du Général Leclerc, Clichy, France
| | - Morgane van Wettere
- Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, 100 Boulevard du Général Leclerc, Clichy, France
| | - Arie P J van Dijk
- Department of Cardiology, Radboud University Medical Centre, Geert Grooteplein Zuid 10, HB Nijmegen, the Netherlands
| | - Joost P H Drenth
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Postbus 9101, Geert Grooteplein Zuid 10, HB Nijmegen, the Netherlands
| | - Eric T T L Tjwa
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Postbus 9101, Geert Grooteplein Zuid 10, HB Nijmegen, the Netherlands
| | - Arie P J van Dijk
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Joost P H Drenth
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | | | - R R J van Kimmenade
- Department of Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - S W van Koeverden
- Department of Radiology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Isabelle D Munsterman
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - R B Tanke
- Department of Pediatric Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Eric T T L Tjwa
- Department of Gastroenterology and Hepatology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - F E A Udink ten Cate
- Department of Pediatric Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | | |
Collapse
|
|
30
|
Labranche R, Gilbert G, Cerny M, Vu KN, Soulières D, Olivié D, Billiard JS, Yokoo T, Tang A. Liver Iron Quantification with MR Imaging: A Primer for Radiologists. Radiographics 2018. [PMID: 29528818 DOI: 10.1148/rg.2018170079] [Citation(s) in RCA: 117] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Iron overload is a systemic disorder and is either primary (genetic) or secondary (exogenous iron administration). Primary iron overload is most commonly associated with hereditary hemochromatosis and secondary iron overload with ineffective erythropoiesis (predominantly caused by β-thalassemia major and sickle cell disease) that requires long-term transfusion therapy, leading to transfusional hemosiderosis. Iron overload may lead to liver cirrhosis and hepatocellular carcinoma, in addition to cardiac and endocrine complications. The liver is one of the main iron storage organs and the first to show iron overload. Therefore, detection and quantification of liver iron overload are critical to initiate treatment and prevent complications. Liver biopsy was the historical reference standard for detection and quantification of liver iron content. Magnetic resonance (MR) imaging is now commonly used for liver iron quantification, including assessment of distribution, detection, grading, and monitoring of treatment response in iron overload. Several MR imaging techniques have been developed for iron quantification, each with advantages and limitations. The liver-to-muscle signal intensity ratio technique is simple and widely available; however, it assumes that the reference tissue is normal. Transverse magnetization (also known as R2) relaxometry is validated but is prone to respiratory motion artifacts due to a long acquisition time, is presently available only for 1.5-T imaging, and requires additional cost and delay for off-line analysis. The R2* technique has fast acquisition time, demonstrates a wide range of liver iron content, and is available for 1.5-T and 3.0-T imaging but requires additional postprocessing software. Quantitative susceptibility mapping has the highest sensitivity for detecting iron deposition; however, it is still investigational, and the correlation with liver iron content is not yet established. ©RSNA, 2018.
Collapse
Affiliation(s)
- Roxanne Labranche
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| | - Guillaume Gilbert
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| | - Milena Cerny
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| | - Kim-Nhien Vu
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| | - Denis Soulières
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| | - Damien Olivié
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| | - Jean-Sébastien Billiard
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| | - Takeshi Yokoo
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| | - An Tang
- From the Department of Radiology (R.L., G.G., M.C., K.N.V., D.O., J.S.B., A.T.) and Service of Hemato-oncology, Department of Medicine (D.S.), Centre Hospitalier de l'Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada (G.G.); Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); and Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada (A.T.)
| |
Collapse
|
|
31
|
Abstract
PURPOSE OF REVIEW The purpose of this review is to discuss the current imaging techniques for non-invasive assessment of liver fibrosis (LF). RECENT FINDINGS Elastography-based techniques are the most widely used imaging methods for the evaluation of LF. Currently, MR elastography (MRE) is the most accurate non-invasive method for detection and staging of LF. Ultrasound-based vibration-controlled transient elastography (VCTE) is the most widely used as it can be easily performed at the point of care but has technical limitations especially in the obese. Innovations and technical improvements continue to evolve in elastography for improving accuracy and avoiding misinterpretation from confounding factors. Other imaging methods including diffusion-weighted imaging (DWI), hepatocellular contrast-enhanced (HCE) MRI, T1 relaxometry, T1ρ imaging, textural analysis, liver surface nodularity, susceptibility-weighted imaging, and perfusion imaging are promising but need further evaluation and clinical validation. MRE is the most accurate imaging technique for assessment of LF.
Collapse
Affiliation(s)
- Rishi Philip Mathew
- Department of Radiology, Mayo Clinic, Mayo Clinic College of Medicine, 200, First Street SW, Rochester, MN, 55905, USA
| | - Sudhakar Kundapur Venkatesh
- Department of Radiology, Mayo Clinic, Mayo Clinic College of Medicine, 200, First Street SW, Rochester, MN, 55905, USA.
| |
Collapse
|
|
32
|
Keller S, Sedlacik J, Schuler T, Buchert R, Avanesov M, Zenouzi R, Lohse AW, Kooijman H, Fiehler J, Schramm C, Yamamura J. Prospective comparison of diffusion-weighted MRI and dynamic Gd-EOB-DTPA-enhanced MRI for detection and staging of hepatic fibrosis in primary sclerosing cholangitis. Eur Radiol 2018; 29:818-828. [PMID: 30014204 DOI: 10.1007/s00330-018-5614-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 05/26/2018] [Accepted: 06/15/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE To assess the diagnostic value of multiparametric magnetic resonance imaging (MRI) including dynamic Gd-EOB-DTPA-enhanced (DCE) and diffusion-weighted (DW) imaging for diagnosis and staging of hepatic fibrosis in primary sclerosing cholangitis (PSC) using transient elastography as a standard reference. MATERIAL AND METHODS Multiparametric MRI was prospectively performed on a 3.0-Tesla scanner in 47 patients (age 43.9±14.3 years). Transient elastography derived liver stiffness measurements (LSM), DCE-MRI derived parameters (hepatocellular uptake rate (Ki), arterial (Fa), portal venous (Fv) and total (Ft) blood flow, mean transit time (MTT), and extracellular volume (Ve)) and the apparent diffusion coefficient (ADC) were calculated. Correlation and univariate analysis of variance with post hoc pairwise comparison were applied to test for differences between LSM derived fibrosis stages (F0/F1, F2/3, F4). ROC curve analysis was used as a performance measure. RESULTS Both ADC and Ki correlated significantly with LSM (r= -0.614; p<0.001 and r= -0.368; p=0.01). The ADC significantly discriminated fibrosis stages F0/1 from F2/3 and F4 (p<0.001). Discrimination of F0/1 from F2/3 and F4 reached a sensitivity/specificity of 0.917/0.821 and 0.8/0.929, respectively. Despite significant inter-subject effect for classification of fibrosis stages, post hoc pairwise comparison was not significant for Ki (p>0.096 for F0/1 from F2/3 and F4). LSM, ADC and Ki were significantly associated with serum-based liver functional tests, disease duration and spleen volume. CONCLUSION DW-MRI provides a higher diagnostic performance for detection of hepatic fibrosis and cirrhosis in PSC patients in comparison to Gd-EOB-DTPA-enhanced DCE-MRI. KEY POINTS • Both ADC and hepatocellular uptake rate (Ki) correlate significantly with liver stiffness (r= -0.614; p<0.001 and r= -0.368; p=0.01). • The DCE-imaging derived quantitative parameter hepatocellular uptake rate (Ki) fails to discriminate pairwise intergroup differences of hepatic fibrosis (p>0.09). • DWI is preferable to DCE-imaging for discrimination of fibrosis stages F0/1 to F2/3 (p<0.001) and F4 (p<0.001).
Collapse
Affiliation(s)
- S Keller
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany. .,Department of Radiology, Charité, Charitéplatz 1, 10117, Berlin, Germany.
| | - J Sedlacik
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - T Schuler
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany
| | - R Buchert
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany
| | - M Avanesov
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany
| | - R Zenouzi
- 1st Department of Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - A W Lohse
- 1st Department of Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - H Kooijman
- Philips Medical Systems, MR Clinical Science, Hamburg, Germany
| | - J Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - C Schramm
- 1st Department of Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - J Yamamura
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany
| |
Collapse
|
|
33
|
Besa C, Wagner M, Lo G, Gordic S, Chatterji M, Kennedy P, Stueck A, Thung S, Babb J, Smith A, Taouli B. Detection of liver fibrosis using qualitative and quantitative MR elastography compared to liver surface nodularity measurement, gadoxetic acid uptake, and serum markers. J Magn Reson Imaging 2018; 47:1552-1561. [PMID: 29193508 DOI: 10.1002/jmri.25911] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 11/13/2017] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Multiparametric magnetic resonance imaging (mpMRI) combining different techniques such as MR elastography (MRE) has emerged as a noninvasive approach to diagnose and stage liver fibrosis with high accuracy allowing for anatomical and functional information. PURPOSE To assess the diagnostic performance of mpMRI including qualitative and quantitative assessment of MRE, liver surface nodularity (LSN) measurement, hepatic enhancement ratios postgadoxetic acid, and serum markers (APRI, FIB-4) for the detection of liver fibrosis. STUDY TYPE IRB-approved retrospective. SUBJECTS Eighty-three adult patients. FIELD STRENGTH/SEQUENCE 1.5T and 3.0T MR systems. MRE and T1 -weighted postgadoxetic acid sequences. ASSESSMENT Two independent observers analyzed qualitative color-coded MRE maps on a scale of 0-3. Regions of interest were drawn to measure liver stiffness on MRE stiffness maps and on pre- and postcontrast T1 -weighted images to measure hepatic enhancement ratios. Software was used to generate LSN measurements. Histopathology was used as the reference standard for diagnosis of liver fibrosis in all patients. STATISTICAL TESTS A multivariable logistic analysis was performed to identify independent predictors of liver fibrosis. Receiver operating characteristic (ROC) analysis evaluated the performance of each imaging technique for detection of fibrosis, in comparison with serum markers. RESULTS Liver stiffness measured with MRE provided the strongest correlation with histopathologic fibrosis stage (r = 0.74, P < 0.001), and the highest diagnostic performance for detection of stages F2-F4, F3-F4, and F4 (areas under the curve [AUCs] of 0.87, 0.91, and 0.89, respectively, P < 0.001) compared to other methods. Qualitative assessment of MRE maps showed fair to good accuracy for detection of fibrosis (AUC range 0.76-0.84). Multivariable logistic analysis identified liver stiffness and FIB-4 as independent predictors of fibrosis with AUCs of 0.90 (F2-F4), 0.93 (F3-F4) and 0.92 (F4) when combined. DATA CONCLUSION Liver stiffness measured with MRE showed the best performance for detection of liver fibrosis compared to LSN and gadoxetic acid uptake, with slight improvement when combined with FIB-4. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1552-1561.
Collapse
Affiliation(s)
- Cecilia Besa
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Radiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Mathilde Wagner
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Grace Lo
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sonja Gordic
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Manjil Chatterji
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Paul Kennedy
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ashley Stueck
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Swan Thung
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - James Babb
- Department of Radiology, New York University Langone Medical Center, New York, New York, USA
| | - Andrew Smith
- Department of Radiology, University of Alabama, Birmingham, Alabama, USA
| | - Bachir Taouli
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| |
Collapse
|
|
34
|
Gd-EOB-DTPA-enhanced T1ρ imaging vs diffusion metrics for assessment liver inflammation and early stage fibrosis of nonalcoholic steatohepatitis in rabbits. Magn Reson Imaging 2018; 48:34-41. [DOI: 10.1016/j.mri.2017.12.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 12/14/2017] [Accepted: 12/21/2017] [Indexed: 02/08/2023]
|
|
35
|
Performance of Magnetic Resonance Susceptibility-Weighted Imaging for Detection of Calcifications in Patients With Hepatic Echinococcosis. J Comput Assist Tomogr 2018; 42:211-215. [PMID: 29189399 DOI: 10.1097/rct.0000000000000687] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE We evaluated the performance of susceptibility-weighted imaging (SWI) for identification of hepatic calcifications in alveolar echinococcosis and cystic echinococcosis. METHODS The SWI images of 58 lesions in 40 patients (age, 49 ± 14 y) with alveolar echinococcosis (n = 22) or cystic echinococcosis (n = 18) were reviewed for calcifications. First, calcifications were suggested by visual assessment. Second, ratios of minimum intralesional intensity and mean lumbar muscle intensity were recorded. Computed tomography (CT) served as the criterion standard. RESULTS Thirty-seven lesions showed calcifications on CT. Susceptibility-weighted imaging provided a sensitivity of 89.2% (95% confidence interval [CI], 50.1-75.7) and a specificity of 57.1% (95% CI, 34.4-77.4) for calcifications detected by visual assessment. Receiver operating characteristic curves demonstrated a sensitivity of 67.6% and a specificity of 85.0% for an intensity ratio of 0.61. A specificity of 100% (95% CI, 80.8-100) and a sensitivity of 84.5% (95% CI, 67.3-93.2) were achieved by SWI for calcifications with a density greater than 184 HU in CT. CONCLUSIONS Identification of hepatic calcifications is possible with SWI. Susceptibility-weighted imaging offers the potential to reduce the need for of CT imaging for evaluation of echinococcosis.
Collapse
|
|
36
|
Lee JH, Kim YR, Lee GM, Ryu JH, Cho EY, Lee YH, Yoon KH. Coefficient of variation on Gd-EOB MR imaging: Correlation with the presence of early-stage hepatocellular carcinoma in patients with chronic hepatitis B. Eur J Radiol 2018; 102:95-101. [PMID: 29685552 DOI: 10.1016/j.ejrad.2018.02.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 02/23/2018] [Accepted: 02/26/2018] [Indexed: 02/07/2023]
Abstract
PURPOSE To study whether the measurement of hepatic fibrosis on gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) magnetic resonance (MR) imaging using the coefficient of variation (CV) might be correlated with the presence of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). MATERIALS AND METHODS This study included 104 patients with and without CHB, who were divided into 4 groups: control group, CHB without liver cirrhosis (LC; Group I), CHB with LC (Group II), and CHB with LC and HCC (Group III). MR images were analyzed to measure the inhomogeneity of signal intensities calculated using the CV map of the liver parenchyma. Intergroup comparisons of CV values were performed using ANOVA. The diagnostic performance of the CV map and alpha-fetoprotein (AFP) for diagnosing HCC was evaluated using the receiver operating characteristic (ROC) curve. RESULTS On the hepatobiliary phase of Gd-EOB-DTPA-enhanced T1-weighted imaging, the mean CV values of the control group and Groups I, II, and III were 3.9 ± 0.99, 3.97 ± 1.09, 5.58 ± 2.05, and 6.80 ± 2.34, respectively (P = 0.000). On ROC analysis of the CV value for predicting HCC, the value of the area under the curve (AUC) on Gd-EOB-DTPA MR imaging was 0.788 (95% CI: 0.697-0.862). The sensitivity and specificity were 84.2% and 63.6%, respectively, at a CV cutoff value >4.75. The value of AUC determined using AFP was 0.766. CONCLUSION The CV value for hepatic fibrosis on Gd-EOB-DTPA MR imaging may be correlated with the presence of HCC in patients with CHB, and shows comparable diagnostic performance to AFP analysis.
Collapse
Affiliation(s)
- Jung Hun Lee
- Department of Radiology, Wonkwang University School of Medicine, Iksan, Republic of Korea
| | - Youe Ree Kim
- Department of Radiology, Wonkwang University School of Medicine, Iksan, Republic of Korea
| | - Guy Mok Lee
- Department of Radiology, Wonkwang University School of Medicine, Iksan, Republic of Korea
| | - Jong Hyun Ryu
- Imaging Science Research Center, Wonkwang University Hospital, Iksan, Republic of Korea
| | - Eun Young Cho
- Department of Gastroenterology, Wonkwang University School of Medicine, Iksan, Republic of Korea
| | - Young Hwan Lee
- Department of Radiology, Wonkwang University School of Medicine, Iksan, Republic of Korea
| | - Kwon-Ha Yoon
- Department of Radiology, Wonkwang University School of Medicine, Iksan, Republic of Korea; Imaging Science Research Center, Wonkwang University Hospital, Iksan, Republic of Korea.
| |
Collapse
|
|
37
|
|
|
38
|
Horowitz JM, Venkatesh SK, Ehman RL, Jhaveri K, Kamath P, Ohliger MA, Samir AE, Silva AC, Taouli B, Torbenson MS, Wells ML, Yeh B, Miller FH. Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panel. Abdom Radiol (NY) 2017. [PMID: 28624924 DOI: 10.1007/s00261-017-1211-7] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Hepatic fibrosis is potentially reversible; however early diagnosis is necessary for treatment in order to halt progression to cirrhosis and development of complications including portal hypertension and hepatocellular carcinoma. Morphologic signs of cirrhosis on ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) alone are unreliable and are seen with more advanced disease. Newer imaging techniques to diagnose liver fibrosis are reliable and accurate, and include magnetic resonance elastography and US elastography (one-dimensional transient elastography and point shear wave elastography or acoustic radiation force impulse imaging). Research is ongoing with multiple other techniques for the noninvasive diagnosis of hepatic fibrosis, including MRI with diffusion-weighted imaging, hepatobiliary contrast enhancement, and perfusion; CT using perfusion, fractional extracellular space techniques, and dual-energy, contrast-enhanced US, texture analysis in multiple modalities, quantitative mapping, and direct molecular imaging probes. Efforts to advance the noninvasive imaging assessment of hepatic fibrosis will facilitate earlier diagnosis and improve patient monitoring with the goal of preventing the progression to cirrhosis and its complications.
Collapse
Affiliation(s)
- Jeanne M Horowitz
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 676 St. Clair St, Suite 800, Chicago, IL, 60611, USA.
| | - Sudhakar K Venkatesh
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Kartik Jhaveri
- Division of Abdominal Imaging, Joint Department of Medical Imaging, University Health Network, Mt. Sinai Hospital & Women's College Hospital, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada
| | - Patrick Kamath
- Division of Gastroenterology and Hepatology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Michael A Ohliger
- Department of Radiology and Biomedical Imaging, UCSF School of Medicine, Zuckerberg San Francisco General Hospital, 1001 Potrero Ave, San Francisco, CA, 94110, USA
| | - Anthony E Samir
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Alvin C Silva
- Department of Radiology, Mayo Clinic in Arizona, 13400 E. Shea Blvd., Scottsdale, AZ, 85259, USA
| | - Bachir Taouli
- Department of Radiology and Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, Box 1234, New York, NY, 10029, USA
| | - Michael S Torbenson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Michael L Wells
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Benjamin Yeh
- Department of Radiology and Biomedical Imaging, UCSF School of Medicine, Zuckerberg San Francisco General Hospital, 1001 Potrero Ave, San Francisco, CA, 94110, USA
| | - Frank H Miller
- Department of Radiology, Feinberg School of Medicine, Northwestern University, 676 St. Clair St, Suite 800, Chicago, IL, 60611, USA
| |
Collapse
|
|
39
|
Sheng RF, Wang HQ, Yang L, Jin KP, Xie YH, Fu CX, Zeng MS. Assessment of liver fibrosis using T1 mapping on Gd-EOB-DTPA-enhanced magnetic resonance. Dig Liver Dis 2017; 49:789-795. [PMID: 28237298 DOI: 10.1016/j.dld.2017.02.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Revised: 02/02/2017] [Accepted: 02/06/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Few studies have investigated the value of Gd-EOB-DTPA-enhanced T1 mapping in exact fibrosis staging, especially its correlation with hepatic molecular transporters. AIMS To investigate the diagnostic value of Gd-EOB-DTPA-enhanced T1 mapping in staging liver fibrosis and its relationship with hepatic molecular transporters. METHODS Thirty rats were divided into the carbon tetrachloride-induced fibrosis groups and a control group. T1-mapping was performed before and 20min after administration of Gd-EOB-DTPA. The T1 relaxation time and reduction rate (Δ%) were calculated, and their correlations with the degree of fibrosis, necroinflammatory activity, iron load and hepatic molecular transporters were assessed and compared. RESULTS Hepatobiliary phase T1 relaxation time (HBP) and Δ% were different between each adjacent fibrosis subgroups(P=0.000-0.042). Very strong correlations existed between fibrosis and both HBP and Δ% (r=0.960/-0.952), and multivariate analyses revealed that fibrosis was the only factor independently predicted by HBP (P=0.000) and Δ% (P=0.001), comparing to necroinflammatory activity and iron load. The expression of the organic anion transporting polypeptide1a1 (Oatp1a1) was significantly correlated with HBP and Δ% at both mRNA (r=-0.741/0.697) and protein (r=-0.577/0.602) levels. Weaker correlations were found for multidrug resistance associated protein2 (Mrp2). Generally, both transporters showed decreasing levels with increasing degrees of fibrosis. CONCLUSION Gd-EOB-DTPA-enhanced T1 mapping may provide a reliable diagnostic tool in staging liver fibrosis, and can be regarded as a useful imaging biomarker of hepatocyte transporter function.
Collapse
Affiliation(s)
- Ruo Fan Sheng
- Department of Radiology, Zhongshan Hospital, Fudan University, Xuhui District, Shanghai, China; Shanghai Institute of Medical Imaging, Xuhui District, Shanghai, China
| | - He Qing Wang
- Department of Radiology, Zhongshan Hospital, Fudan University, Xuhui District, Shanghai, China; Shanghai Institute of Medical Imaging, Xuhui District, Shanghai, China
| | - Li Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, Xuhui District, Shanghai, China; Shanghai Institute of Medical Imaging, Xuhui District, Shanghai, China
| | - Kai Pu Jin
- Department of Radiology, Zhongshan Hospital, Fudan University, Xuhui District, Shanghai, China; Shanghai Institute of Medical Imaging, Xuhui District, Shanghai, China
| | - Yan Hong Xie
- Department of Pathology, Zhongshan Hospital, Fudan University, Xuhui District, Shanghai 200032, China
| | - Cai Xia Fu
- MR Collaboration NEA, Siemens Ltd. China, Shanghai, China
| | - Meng Su Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Xuhui District, Shanghai, China; Shanghai Institute of Medical Imaging, Xuhui District, Shanghai, China.
| |
Collapse
|
|
40
|
Jiang H, Chen J, Gao R, Huang Z, Wu M, Song B. Liver fibrosis staging with diffusion-weighted imaging: a systematic review and meta-analysis. Abdom Radiol (NY) 2017; 42:490-501. [PMID: 27678393 DOI: 10.1007/s00261-016-0913-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE A meta-analysis was performed to assess the diagnostic performance of diffusion-weighted imaging (DWI) in liver fibrosis (LF) staging. METHODS We conducted a comprehensive literature search to identify relevant articles. Diagnostic data were extracted for each METAVIR fibrosis stage (F0-F4). A bivariate binomial model was used to combine sensitivities and specificities. Summary receiver operating characteristics (SROC) curves were performed and areas under SROC curve (AUC) were calculated to indicate diagnostic accuracies. Subgroup analyses were performed between different study characteristics. RESULTS Twelve studies met the inclusion criteria for LF ≥F1, 16 for ≥F2, 18 for ≥F3, and 12 for F4. AUCs of DWI were 0.8554, 0.8770, 0.8836, and 0.8596 for ≥F1, ≥F2, ≥F3, and F4, respectively. Subgroup analyses showed that for LF ≥F2 and ≥F3, maximal b values (b max) ≥ 800 s/mm2 performed significantly better than b max < 800 s/mm2. The diagnostic accuracies of 3.0 T and intravoxel incoherent motion (IVIM)-DWI were significantly higher than those of 1.5 T and conventional DWI for diagnosing liver cirrhosis (F4). CONCLUSIONS DWI is a reliable noninvasive technique with good diagnostic accuracy for LF staging. Using b max ≥ 800 s/mm2, high-field strength (3.0 T) and IVIM-DWI can optimize the diagnostic performance of DWI.
Collapse
Affiliation(s)
- Hanyu Jiang
- Department of Radiology, Sichuan University West China Hospital, No. 37 Guoxue Alley, Chengdu, Sichuan, China
| | - Jie Chen
- Department of Radiology, Sichuan University West China Hospital, No. 37 Guoxue Alley, Chengdu, Sichuan, China
| | - Ronghui Gao
- Department of Radiology, Sichuan University West China Hospital, No. 37 Guoxue Alley, Chengdu, Sichuan, China
| | - Zixing Huang
- Department of Radiology, Sichuan University West China Hospital, No. 37 Guoxue Alley, Chengdu, Sichuan, China
| | - Mingpeng Wu
- Department of Radiology, Sichuan University West China Hospital, No. 37 Guoxue Alley, Chengdu, Sichuan, China
| | - Bin Song
- Department of Radiology, Sichuan University West China Hospital, No. 37 Guoxue Alley, Chengdu, Sichuan, China.
| |
Collapse
|
|
41
|
Unal E, Idilman IS, Karçaaltıncaba M. Multiparametric or practical quantitative liver MRI: towards millisecond, fat fraction, kilopascal and function era. Expert Rev Gastroenterol Hepatol 2017; 11:167-182. [PMID: 27937040 DOI: 10.1080/17474124.2017.1271710] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
New advances in liver magnetic resonance imaging (MRI) may enable diagnosis of unseen pathologies by conventional techniques. Normal T1 (550-620 ms for 1.5 T and 700-850 ms for 3 T), T2, T2* (>20 ms), T1rho (40-50 ms) mapping, proton density fat fraction (PDFF) (≤5%) and stiffness (2-3kPa) values can enable differentiation of a normal liver from chronic liver and diffuse diseases. Gd-EOB-DTPA can enable assessment of liver function by using postcontrast hepatobiliary phase or T1 reduction rate (normally above 60%). T1 mapping can be important for the assessment of fibrosis, amyloidosis and copper overload. T1rho mapping is promising for the assessment of liver collagen deposition. PDFF can allow objective treatment assessment in NAFLD and NASH patients. T2 and T2* are used for iron overload determination. MR fingerprinting may enable single slice acquisition and easy implementation of multiparametric MRI and follow-up of patients. Areas covered: T1, T2, T2*, PDFF and stiffness, diffusion weighted imaging, intravoxel incoherent motion imaging (ADC, D, D* and f values) and function analysis are reviewed. Expert commentary: Multiparametric MRI can enable biopsyless diagnosis and more objective staging of diffuse liver disease, cirrhosis and predisposing diseases. A comprehensive approach is needed to understand and overcome the effects of iron, fat, fibrosis, edema, inflammation and copper on MR relaxometry values in diffuse liver disease.
Collapse
Affiliation(s)
- Emre Unal
- a Liver Imaging Team, Department of Radiology , Hacettepe University School of Medicine , Ankara , Turkey
- b Department of Radiology , Zonguldak Ataturk State Hospital , Zonguldak , Turkey
| | - Ilkay Sedakat Idilman
- a Liver Imaging Team, Department of Radiology , Hacettepe University School of Medicine , Ankara , Turkey
- c Department of Radiology , Ankara Ataturk Education and Research Hospital , Ankara , Turkey
| | - Muşturay Karçaaltıncaba
- a Liver Imaging Team, Department of Radiology , Hacettepe University School of Medicine , Ankara , Turkey
| |
Collapse
|
|
42
|
Petitclerc L, Sebastiani G, Gilbert G, Cloutier G, Tang A. Liver fibrosis: Review of current imaging and MRI quantification techniques. J Magn Reson Imaging 2016; 45:1276-1295. [PMID: 27981751 DOI: 10.1002/jmri.25550] [Citation(s) in RCA: 149] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 10/27/2016] [Indexed: 12/13/2022] Open
Abstract
Liver fibrosis is characterized by the accumulation of extracellular matrix proteins such as collagen in the liver interstitial space. All causes of chronic liver disease may lead to fibrosis and cirrhosis. The severity of liver fibrosis influences the decision to treat or the need to monitor hepatic or extrahepatic complications. The traditional reference standard for diagnosis of liver fibrosis is liver biopsy. However, this technique is invasive, associated with a risk of sampling error, and has low patient acceptance. Imaging techniques offer the potential for noninvasive diagnosis, staging, and monitoring of liver fibrosis. Recently, several of these have been implemented on ultrasound (US), computed tomography, or magnetic resonance imaging (MRI). Techniques that assess changes in liver morphology, texture, or perfusion that accompany liver fibrosis have been implemented on all three imaging modalities. Elastography, which measures changes in mechanical properties associated with liver fibrosis-such as strain, stiffness, or viscoelasticity-is available on US and MRI. Some techniques assessing liver shear stiffness have been adopted clinically, whereas others assessing strain or viscoelasticity remain investigational. Further, some techniques are only available on MRI-such as spin-lattice relaxation time in the rotating frame (T1 ρ), diffusion of water molecules, and hepatocellular function based on the uptake of a liver-specific contrast agent-remain investigational in the setting of liver fibrosis staging. In this review, we summarize the key concepts, advantages and limitations, and diagnostic performance of each technique. The use of multiparametric MRI techniques offers the potential for comprehensive assessment of chronic liver disease severity. LEVEL OF EVIDENCE 5 J. MAGN. RESON. IMAGING 2017;45:1276-1295.
Collapse
Affiliation(s)
- Léonie Petitclerc
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada
| | - Giada Sebastiani
- Department of Gastroenterology and Hepatology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Guillaume Gilbert
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,MR Clinical Science, Philips Healthcare Canada, Markham, Ontario, Canada
| | - Guy Cloutier
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.,Institute of Biomedical Engineering, Université de Montréal, CP 6128, Succursale Centre-ville, Montréal, Québec, Canada.,Laboratory of Biorheology and Medical Ultrasonics, CRCHUM, 900 Saint-Denis, Montréal, Québec, Canada
| | - An Tang
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.,Institute of Biomedical Engineering, Université de Montréal, CP 6128, Succursale Centre-ville, Montréal, Québec, Canada
| |
Collapse
|
|
43
|
Saito K, Tajima Y, Harada TL. Diffusion-weighted imaging of the liver: Current applications. World J Radiol 2016; 8:857-867. [PMID: 27928467 PMCID: PMC5120245 DOI: 10.4329/wjr.v8.i11.857] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Revised: 08/10/2016] [Accepted: 10/24/2016] [Indexed: 02/06/2023] Open
Abstract
Diffusion-weighted imaging (DWI) of the liver can be performed using most commercially available machines and is currently accepted in routine sequence. This sequence has some potential as an imaging biomarker for fibrosis, tumor detection/characterization, and following/predicting therapy. To improve reliability including accuracy and reproducibility, researchers have validated this new technique in terms of image acquisition, data sampling, and analysis. The added value of DWI in contrast-enhanced magnetic resonance imaging was established in the detection of malignant liver lesions. However, some limitations remain in terms of lesion characterization and fibrosis detection. Furthermore, the methodologies of image acquisition and data analysis have been inconsistent. Therefore, researchers should make every effort to not only improve accuracy and reproducibility but also standardize imaging parameters.
Collapse
|
|
44
|
Clinical Advancements in the Targeted Therapies against Liver Fibrosis. Mediators Inflamm 2016; 2016:7629724. [PMID: 27999454 PMCID: PMC5143744 DOI: 10.1155/2016/7629724] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 10/11/2016] [Accepted: 10/19/2016] [Indexed: 12/11/2022] Open
Abstract
Hepatic fibrosis, characterized by excessive accumulation of extracellular matrix (ECM) proteins leading to liver dysfunction, is a growing cause of mortality worldwide. Hepatocellular damage owing to liver injury leads to the release of profibrotic factors from infiltrating inflammatory cells that results in the activation of hepatic stellate cells (HSCs). Upon activation, HSCs undergo characteristic morphological and functional changes and are transformed into proliferative and contractile ECM-producing myofibroblasts. Over recent years, a number of therapeutic strategies have been developed to inhibit hepatocyte apoptosis, inflammatory responses, and HSCs proliferation and activation. Preclinical studies have yielded numerous targets for the development of antifibrotic therapies, some of which have entered clinical trials and showed improved therapeutic efficacy and desirable safety profiles. Furthermore, advancements have been made in the development of noninvasive markers and techniques for the accurate disease assessment and therapy responses. Here, we focus on the clinical developments attained in the field of targeted antifibrotics for the treatment of liver fibrosis, for example, small molecule drugs, antibodies, and targeted drug conjugate. We further briefly highlight different noninvasive diagnostic technologies and will provide an overview about different therapeutic targets, clinical trials, endpoints, and translational efforts that have been made to halt or reverse the progression of liver fibrosis.
Collapse
|
|
45
|
Pickhardt PJ, Malecki K, Hunt OF, Beaumont C, Kloke J, Ziemlewicz TJ, Lubner MG. Hepatosplenic volumetric assessment at MDCT for staging liver fibrosis. Eur Radiol 2016; 27:3060-3068. [PMID: 27858212 DOI: 10.1007/s00330-016-4648-0] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2016] [Revised: 08/12/2016] [Accepted: 10/17/2016] [Indexed: 01/23/2023]
Abstract
PURPOSE To investigate hepatosplenic volumetry at MDCT for non-invasive prediction of hepatic fibrosis. METHODS Hepatosplenic volume analysis in 624 patients (mean age, 48.8 years; 311 M/313 F) at MDCT was performed using dedicated software and compared against pathological fibrosis stage (F0 = 374; F1 = 48; F2 = 40; F3 = 65; F4 = 97). The liver segmental volume ratio (LSVR) was defined by Couinaud segments I-III over segments IV-VIII. All pre-cirrhotic fibrosis stages (METAVIR F1-F3) were based on liver biopsy within 1 year of MDCT. RESULTS LSVR and total splenic volumes increased with stage of fibrosis, with mean(±SD) values of: F0: 0.26 ± 0.06 and 215.1 ± 88.5 mm3; F1: 0.25 ± 0.08 and 294.8 ± 153.4 mm3; F2: 0.331 ± 0.12 and 291.6 ± 197.1 mm3; F3: 0.39 ± 0.15 and 509.6 ± 402.6 mm3; F4: 0.56 ± 0.30 and 790.7 ± 450.3 mm3, respectively. Total hepatic volumes showed poor discrimination (F0: 1674 ± 320 mm3; F4: 1631 ± 691 mm3). For discriminating advanced fibrosis (≥F3), the ROC AUC values for LSVR, total liver volume, splenic volume and LSVR/spleen combined were 0.863, 0.506, 0.890 and 0.947, respectively. CONCLUSION Relative changes in segmental liver volumes and total splenic volume allow for non-invasive staging of hepatic fibrosis, whereas total liver volume is a poor predictor. Unlike liver biopsy or elastography, these CT volumetric biomarkers can be obtained retrospectively on routine scans obtained for other indications. KEY POINTS • Regional changes in hepatic volume (LSVR) correlate well with degree of fibrosis. • Total liver volume is a very poor predictor of underlying fibrosis. • Total splenic volume is associated with the degree of hepatic fibrosis. • Hepatosplenic volume assessment is comparable to elastography for staging fibrosis. • Unlike elastography, volumetric analysis can be performed retrospectively.
Collapse
Affiliation(s)
- Perry J Pickhardt
- Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA.
| | - Kyle Malecki
- Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA
| | - Oliver F Hunt
- Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA
| | - Claire Beaumont
- Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA
| | - John Kloke
- Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA
| | - Timothy J Ziemlewicz
- Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA
| | - Meghan G Lubner
- Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA
| |
Collapse
|
|
46
|
Ba-Ssalamah A, Bastati N, Wibmer A, Fragner R, Hodge JC, Trauner M, Herold CJ, Bashir MR, Van Beers BE. Hepatic gadoxetic acid uptake as a measure of diffuse liver disease: Where are we? J Magn Reson Imaging 2016; 45:646-659. [PMID: 27862590 DOI: 10.1002/jmri.25518] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 10/05/2016] [Indexed: 02/06/2023] Open
Abstract
MRI has emerged as the most comprehensive noninvasive diagnostic tool for focal liver lesions and diffuse hepatobiliary disorders. The introduction of hepatobiliary contrast agents, most notably gadoxetic acid (GA), has expanded the role of MRI, particularly in the functional imaging of chronic liver diseases, such as nonalcoholic fatty liver disease (NAFLD). GA-enhanced MRI (GA-MRI) may help to distinguish between the two subgroups of NAFLD, simple steatosis and nonalcoholic steatohepatitis. Furthermore, GA-MRI can be used to stage fibrosis and cirrhosis, predict liver transplant graft survival, and preoperatively estimate the risk of liver failure should major resection be undertaken. The amount of GA uptake can be estimated, using static images, by the relative liver enhancement, hepatic uptake index, and relaxometry of T1-mapping during the hepatobiliary phase. On the contrary, the hepatic extraction fraction and liver perfusion can be measured on dynamic imaging. Importantly, there is currently no clear consensus as to which of these MR-derived parameters is the most suitable for assessing liver dysfunction. This review article aims to describe the current role of GA-enhanced MRI in quantifying liver function, primarily in diffuse hepatobiliary disorders. LEVEL OF EVIDENCE 3 J. Magn. Reson. Imaging 2017;45:646-659.
Collapse
Affiliation(s)
- Ahmed Ba-Ssalamah
- Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Austria
| | - Nina Bastati
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, General Hospital of Vienna (AKH), Austria
| | - Andreas Wibmer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Austria
| | - Romana Fragner
- Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Austria
| | - Jacqueline C Hodge
- Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Austria
| | - Michael Trauner
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, General Hospital of Vienna (AKH), Austria
| | - Christian J Herold
- Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Austria
| | - Mustafa R Bashir
- Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, North Carolina, USA.,Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, North Carolina, USA
| | - Bernard E Van Beers
- Laboratory of Imaging Biomarkers, UMR 1149, INSERM - University Paris Diderot and Department of Radiology, University Hospital Paris Nord - Beaujon, France
| |
Collapse
|
|
47
|
Chin JL, Pavlides M, Moolla A, Ryan JD. Non-invasive Markers of Liver Fibrosis: Adjuncts or Alternatives to Liver Biopsy? Front Pharmacol 2016; 7:159. [PMID: 27378924 PMCID: PMC4913110 DOI: 10.3389/fphar.2016.00159] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 05/31/2016] [Indexed: 12/13/2022] Open
Abstract
Liver fibrosis reflects sustained liver injury often from multiple, simultaneous factors. Whilst the presence of mild fibrosis on biopsy can be a reassuring finding, the identification of advanced fibrosis is critical to the management of patients with chronic liver disease. This necessity has lead to a reliance on liver biopsy which itself is an imperfect test and poorly accepted by patients. The development of robust tools to non-invasively assess liver fibrosis has dramatically enhanced clinical decision making in patients with chronic liver disease, allowing a rapid and informed judgment of disease stage and prognosis. Should a liver biopsy be required, the appropriateness is clearer and the diagnostic yield is greater with the use of these adjuncts. While a number of non-invasive liver fibrosis markers are now used in routine practice, a steady stream of innovative approaches exists. With improvement in the reliability, reproducibility and feasibility of these markers, their potential role in disease management is increasing. Moreover, their adoption into clinical trials as outcome measures reflects their validity and dynamic nature. This review will summarize and appraise the current and novel non-invasive markers of liver fibrosis, both blood and imaging based, and look at their prospective application in everyday clinical care.
Collapse
Affiliation(s)
- Jun L Chin
- School of Medicine and Medical Science, University College Dublin Dublin, Ireland
| | - Michael Pavlides
- Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford Oxford, UK
| | - Ahmad Moolla
- Radcliffe Department of Medicine, University of Oxford Oxford, UK
| | - John D Ryan
- Translational Gastroenterology Unit, University of Oxford Oxford, UK
| |
Collapse
|
|
48
|
Ronot M, Vilgrain V. Multiparametric magnetic resonance imaging in patients with chronic liver disease: are we there yet? Liver Int 2016; 36:631-3. [PMID: 27105131 DOI: 10.1111/liv.13089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Affiliation(s)
- Maxime Ronot
- Radiology Department, Beaujon Hospital, University Hospitals Paris Nord Val de Seine, Assistance Publique-Hôpitaux de Paris, APHP, Clichy, France.,University Paris Diderot, Sorbonne Paris Cité, INSERM UMR 1149, Paris, France
| | - Valérie Vilgrain
- Radiology Department, Beaujon Hospital, University Hospitals Paris Nord Val de Seine, Assistance Publique-Hôpitaux de Paris, APHP, Clichy, France.,University Paris Diderot, Sorbonne Paris Cité, INSERM UMR 1149, Paris, France
| |
Collapse
|
|
49
|
Zhang B, Liang L, Dong Y, Lian Z, Chen W, Liang C, Zhang S. Intravoxel Incoherent Motion MR Imaging for Staging of Hepatic Fibrosis. PLoS One 2016; 11:e0147789. [PMID: 26820668 PMCID: PMC4731200 DOI: 10.1371/journal.pone.0147789] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 01/09/2016] [Indexed: 12/14/2022] Open
Abstract
Objectives To determine the potential of intravoxel incoherent motion (IVIM) MR imaging for staging of hepatic fibrosis (HF). Methods We searched PubMed and EMBASE from their inception to 31 July 2015 to select studies reporting IVIM MR imaging and HF staging. We defined F1-2 as non-advanced HF, F3-4 as advanced HF, F0 as normal liver, F1 as very early HF, and F2-4 as significant HF. Then we compared stage F0 with F1, F0-1 with F2-3, and F1-2 with F3-4 using IVIM-derived parameters (pseudo-diffusion coefficient D*, perfusion fraction f, and pure molecular diffusion parameter D). The effect estimate was expressed as a pooled weighted mean difference (WMD) with 95% confidence interval (CI), using the fixed-effects model. Results Overall, we included six papers (406 patients) in this study. Significant differences in D* were observed between F0 and F1, F0-1 and F2-3, and F1-2 and F3-4 (WMD 2.46, 95% CI 0.83–4.09, P = 0.006; WMD 13.10, 95% CI 9.53–16.67, P < 0.001; WMD 14.34, 95% CI 10.26–18.42, P < 0.001, respectively). Significant differences in f were also found between F0 and F1, F0-1 and F2-3, and F1-2 and F3-4 (WMD 1.62, 95% CI 0.06–3.18, P = 0.027; WMD 5.63, 95% CI 2.74–8.52, P < 0.001; WMD 3.30, 95% CI 2.10–4.50, P < 0.001, respectively). However, D showed no differences between F0 and F1, F0-1 and F2-3, and F1-2 and F3-4 (WMD 0.05, 95% CI -0.01─0.11, P = 0.105; WMD 0.04, 95% CI -0.01─0.10, P = 0.230; WMD 0.02, 95% CI -0.02─0.06, P = 0.378, respectively). Conclusions IVIM MR imaging provides an effective method of staging HF and can distinguish early HF from normal liver, significant HF from normal liver or very early HF, and advanced HF from non-advanced HF.
Collapse
Affiliation(s)
- Bin Zhang
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
- Graduate College, Southern Medical University, Guangzhou, China
| | - Long Liang
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
- Graduate College, Southern Medical University, Guangzhou, China
| | - Yuhao Dong
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
| | - Zhouyang Lian
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
- Graduate College, Southern Medical University, Guangzhou, China
| | - Wenbo Chen
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
| | - Changhong Liang
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
| | - Shuixing Zhang
- Department of Radiology, Guangdong Academy of Medical Sciences/Guangdong General Hospital, Guangzhou, Guangdong Province, China
- * E-mail:
| |
Collapse
|