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Sah A, Gupta A, Garg S, Yadav N, Khan MA, Das CJ. Can quantitative perfusion CT-based biomarkers predict renal cell carcinoma subtypes? Abdom Radiol (NY) 2025; 50:2586-2594. [PMID: 39688674 DOI: 10.1007/s00261-024-04746-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 12/01/2024] [Accepted: 12/03/2024] [Indexed: 12/18/2024]
Abstract
PURPOSE To assess diagnostic accuracy of perfusion CT (pCT) based biomarkers in differentiating clear-cell renal cell carcinoma (ccRCC) from non-ccRCC. MATERIALS AND METHOD This retrospective study comprised 95 patients with RCCs (70 ccRCCs and 25 non-ccRCCs) who had perfusion CT (pCT) before surgery between January 2017 and December 2022. Two readers independently recorded PCT parameters [blood flow (BF), blood volume (BV), mean transit time (MTT), and time to peak (TTP)] by drawing a circular ROI on the tumor. The open-source program "Labelme" was used to create a polygonal bounding box to outline tumor borders. The intraclass correlation coefficient (ICC) was used to determine interreader agreement. The pCT model was evaluated using multivariable logistic regression analysis with the STATA 18 program to determine the importance of each of these characteristics in predicting the type of tumor. RESULTS Clear cell RCC had significantly greater MIP and lower TTP values than non-clear cell RCC (p < 0.05). RCCs showed considerably higher TTP, MTT, and lower MIP values than the normal renal cortex (p < 0.05). At a threshold of 129 HU, MIP had an AUC of 0.78, sensitivity and specificity of 80% and 70%, respectively, according to ROC analysis. CONCLUSIONS pCT has a high diagnostic accuracy in distinguishing between ccRCC and non-ccRCC tumors; Clinical relevance: A non-invasive, accurate, reliable, and reproducible imaging biomarker for RCC subtype prediction is possible on pCT, which may be significant for evaluating the response to antiangiogenic therapy.
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Affiliation(s)
- Anjali Sah
- All India Institute of Medical Sciences, Ansari Nagar East, New Delhi, 110029, India
| | - Amit Gupta
- All India Institute of Medical Sciences, Ansari Nagar East, New Delhi, 110029, India
| | - Sanil Garg
- All India Institute of Medical Sciences, Ansari Nagar East, New Delhi, 110029, India
| | - Neel Yadav
- All India Institute of Medical Sciences, Ansari Nagar East, New Delhi, 110029, India
| | - Maroof Ahmad Khan
- All India Institute of Medical Sciences, Ansari Nagar East, New Delhi, 110029, India
| | - Chandan J Das
- All India Institute of Medical Sciences, Ansari Nagar East, New Delhi, 110029, India.
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Goh V, Mallett S, Rodriguez-Justo M, Boulter V, Glynne-Jones R, Khan S, Lessels S, Patel D, Prezzi D, Taylor S, Halligan S. Evaluation of prognostic models to improve prediction of metastasis in patients following potentially curative treatment for primary colorectal cancer: the PROSPECT trial. Health Technol Assess 2025; 29:1-91. [PMID: 40230305 PMCID: PMC12010235 DOI: 10.3310/btmt7049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2025] Open
Abstract
Background Despite apparently curative treatment, many patients with colorectal cancer develop subsequent metastatic disease. Current prognostic models are criticised because they are based on standard staging and omit novel biomarkers. Improved prognostication is an unmet need. Objectives To improve prognostication for colorectal cancer by developing a baseline multivariable model of standard clinicopathological predictors, and to then improve prediction via addition of promising novel imaging, genetic and immunohistochemical biomarkers. Design Prospective multicentre cohort. Setting Thirteen National Health Service hospitals. Participants Consecutive adult patients with colorectal cancer. Interventions Collection of prespecified standard clinicopathological variables and more novel imaging, genetic and immunohistochemical biomarkers, followed by 3-year follow-up to identify postoperative metastasis. Main outcome Best multivariable prognostic model including perfusion computed tomography compared with tumour/node staging. Secondary outcomes: Additive benefit of perfusion computed tomography and other biomarkers to best baseline model comprising standard clinicopathological predictors; measurement variability between local and central review; biological relationships between perfusion computed tomography and pathology variables. Results Between 2011 and 2016, 448 participants were recruited; 122 (27%) were withdrawn, leaving 326 (226 male, 100 female; mean ± standard deviation 66 ± 10.7 years); 183 (56%) had rectal cancer. Most cancers were locally advanced [≥ T3 stage, 227 (70%)]; 151 (46%) were node-positive (≥ N1 stage); 306 (94%) had surgery; 79 (24%) had neoadjuvant therapy. The resection margin was positive in 15 (5%); 93 (28%) had venous invasion; 125 (38%) had postoperative adjuvant chemotherapy; 81 (25%, 57 male) developed recurrent disease. Prediction of recurrent disease by the baseline clinicopathological time-to-event Weibull multivariable model (age, sex, tumour/node stage, tumour size and location, treatment, venous invasion) was superior to tumour/node staging: sensitivity: 0.57 (95% confidence interval 0.45 to 0.68), specificity 0.74 (95% confidence interval 0.68 to 0.79) versus sensitivity 0.56 (95% confidence interval 0.44 to 0.67), specificity 0.58 (95% confidence interval 0.51 to 0.64), respectively. Addition of perfusion computed tomography variables did not improve prediction significantly: c-statistic: 0.77 (95% confidence interval 0.71 to 0.83) versus 0.76 (95% confidence interval 0.70 to 0.82). Perfusion computed tomography parameters did not differ significantly between patients with and without recurrence (e.g. mean ± standard deviation blood flow of 60.3 ± 24.2 vs. 61.7 ± 34.2 ml/minute/100 ml). Furthermore, baseline model prediction was not improved significantly by the addition of any novel genetic or immunohistochemical biomarkers. We observed variation between local and central computed tomography measurements but neither improved model prediction significantly. We found no clear association between perfusion computed tomography variables and any immunohistochemical measurement or genetic expression. Limitations The number of patients developing metastasis was lower than expected from historical data. Our findings should not be overinterpreted. While the baseline model was superior to tumour/node staging, any clinical utility needs definition in daily practice. Conclusions A prognostic model of standard clinicopathological variables outperformed tumour/node staging, but novel biomarkers did not improve prediction significantly. Biomarkers that appear promising in small single-centre studies may contribute nothing substantial to prognostication when evaluated rigorously. Future work It would be desirable for other researchers to externally evaluate the baseline model. Trial registration This trial is registered as ISRCTN95037515. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 09/22/49) and is published in full in Health Technology Assessment; Vol. 29, No. 8. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Vicky Goh
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | | | | | | | | | | | - Sarah Lessels
- Scottish Clinical Trials Research Unit (SCTRU), NHS National Services Scotland, Edinburgh, Scotland
| | - Dominic Patel
- Research Department of Pathology, UCL Cancer Institute, London, UK
| | - Davide Prezzi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
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Liu X, Chen XL, Yuan Y, Pu H, Li H. Dual-energy CT quantitative parameters for prediction of prognosis in patients with resectable rectal cancer. Eur Radiol 2025:10.1007/s00330-025-11398-3. [PMID: 39921716 DOI: 10.1007/s00330-025-11398-3] [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: 10/04/2024] [Revised: 12/03/2024] [Accepted: 01/05/2025] [Indexed: 02/10/2025]
Abstract
OBJECTIVE To determine whether quantitative parameters derived from dual-energy CT (DECT) could predict prognosis in patients with resectable rectal cancer (RC). MATERIALS AND METHODS One hundred and thirty-four patients (recurrence/distant metastasis group, n = 36; non-metastasis/non-recurrence group, n = 98) with RC who underwent radical resection and DECT were retrospectively included. DECT quantitative parameters, including iodine concentration (IC), normalized iodine concentration (NIC), electron density (Rho), effective atomic number (Zeff), dual-energy index (DEI), the slope of the spectral Hounsfield unit curve (λHU) on arterial and venous phase images. Univariate and multivariate Cox proportional hazards models were employed to identify independent risk factors of prognosis. The area under the receiver operating characteristic curve (AUC) was used to assess the performance. Disease-free survival (DFS) curves were constructed using the Kaplan-Meier method. RESULTS Patients in the metastasis/recurrence group had higher Rho in arterial phase (A-Rho), NIC in venous phase (V-NIC), Rho in venous phase (V-Rho), Zeff in venous phase (V-Zeff), λHU in venous phase (V-λHU), pT stage, pN stage, serum carcinoembryonic antigen (CEA), carbohydrate antigen-199 levels and more frequent in extramural venous invasion than those in non-metastasis/non-recurrence group (all p < 0.05). V-NIC, V-λHU, and CEA were independent risk factors of recurrence/distant metastasis (all p < 0.05). The AUC of combined indicator integrating three independent risk factors achieved the best diagnostic performance (AUC = 0.900). In stratified survival analysis, patients with high V-NIC, V-λHU, and CEA had lower 3-year DFS than those with low V-NIC, V-λHU, and CEA. CONCLUSION Combining V-NIC, V-λHU, and CEA could be used to noninvasively predict prognosis in resectable RC. KEY POINTS Question TNM staging fails to accurately prognosticate; can quantitative parameters derived from dual-energy CT predict prognosis in patients with resectable rectal cancer? Findings Normalized iodine concentration (V-NIC) and the slope of the spectral Hounsfield unit curve in venous phase (V-λHU), and carcinoembryonic antigen (CEA) are independent risk factors for recurrence/metastasis. Clinical relevance The combined indicator integrating V-NIC, V-λHU, and CEA could predict 3-year disease-free survival in patients with resectable rectal cancer and could aid in postoperative survival risk stratification to guide personalized treatment.
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Affiliation(s)
- Xia Liu
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiao-Li Chen
- Department of Radiology, Affiliated Cancer Hospital of Medical School, University of Electronic Science and Technology of China, Sichuan Cancer Hospital, Chengdu, China
| | - Yi Yuan
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Hong Pu
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Hang Li
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
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Jin S, Liu X, Cai L, Yan J, Li L, Dong H, Gao Y, Zhu X, Zhang C, Xu X. Itraconazole promotes melanoma cells apoptosis via inhibiting hedgehog signaling pathway-mediated autophagy. Front Pharmacol 2025; 16:1545243. [PMID: 39917616 PMCID: PMC11798931 DOI: 10.3389/fphar.2025.1545243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2024] [Accepted: 01/06/2025] [Indexed: 02/09/2025] Open
Abstract
Background Itraconazole, a widely used antifungal medication, has shown potential in inhibiting tumor growth and reducing angiogenesis. However, its role in melanoma tumor growth remains insufficiently explored. This study investigates the inductive effect of itraconazole on autophagy-mediated apoptosis in melanoma cells. Method Potential drug targets were identified using the PMF machine learning algorithm. Apoptosis and cell cycle in melanoma cell lines A375 and A2058 were assessed via flow cytometry. Western blot analysis was performed to examine autophagy and associated signaling proteins, while autophagy flux and autophagosome formation were visualized using fluorescence microscopy. A melanoma cell xenograft mouse model was established to evaluate the inhibitory mechanisms of itraconazole on tumor cell proliferation. Result Using the PMF machine learning algorithm, SQSTM1 was identified as the primary target of itraconazole. Itraconazole inhibited melanoma cell proliferation by inducing G1 phase arrest and autophagy-mediated apoptosis in A375 and A2058 cells. Furthermore, itraconazole suppressed Hedgehog signaling and counteracted the activation of the Hedgehog agonist recombinant human Sonic Hedgehog (rhShh). In vivo, itraconazole significantly reduced tumor growth in A375 and A2058 xenograft models. Conclusion Itraconazole induces autophagy-mediated apoptosis in melanoma cells by inhibiting Hedgehog signaling, underscoring its potential as a therapeutic option for melanoma treatment.
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Affiliation(s)
- Shunqiao Jin
- Department of Dermatology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
- Department of Dermatology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Xiaojiao Liu
- Department of Dermatology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
- Department of Dermatology, Chengdu Badachu Medical Aesthetics Hospital, Chengdu, China
| | - Lingqin Cai
- Department of Dermatology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
- Department of Dermatology, Taizhou Rehabilitation Hospital, Taizhou Enze Medical Center (Group), Taizhou, China
| | - Jiayu Yan
- Department of Dermatology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ling Li
- Department of Dermatology, The Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Hongjun Dong
- Department of Dermatology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yuxue Gao
- Department of Dermatology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Xicong Zhu
- Department of Dermatology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Cong Zhang
- Department of Preventive Medicine, Dalian Medical University, Dalian, China
| | - Xuezhu Xu
- Department of Dermatology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
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Goh V, Mallett S, Boulter V, Glynne-Jones R, Khan S, Lessels S, Patel D, Prezzi D, Rodriguez-Justo M, Taylor SA, Beable R, Betts M, Breen DJ, Britton I, Brush J, Correa P, Dodds N, Dunlop J, Gourtsoyianni S, Griffin N, Higginson A, Lowe A, Slater A, Strugnell M, Tolan D, Zealley I, Halligan S. Multivariable prognostic modelling to improve prediction of colorectal cancer recurrence: the PROSPeCT trial. Eur Radiol 2024; 34:6992-7001. [PMID: 38836939 PMCID: PMC11519198 DOI: 10.1007/s00330-024-10803-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 03/25/2024] [Accepted: 04/05/2024] [Indexed: 06/06/2024]
Abstract
OBJECTIVE Improving prognostication to direct personalised therapy remains an unmet need. This study prospectively investigated promising CT, genetic, and immunohistochemical markers to improve the prediction of colorectal cancer recurrence. MATERIAL AND METHODS This multicentre trial (ISRCTN 95037515) recruited patients with primary colorectal cancer undergoing CT staging from 13 hospitals. Follow-up identified cancer recurrence and death. A baseline model for cancer recurrence at 3 years was developed from pre-specified clinicopathological variables (age, sex, tumour-node stage, tumour size, location, extramural venous invasion, and treatment). Then, CT perfusion (blood flow, blood volume, transit time and permeability), genetic (RAS, RAF, and DNA mismatch repair), and immunohistochemical markers of angiogenesis and hypoxia (CD105, vascular endothelial growth factor, glucose transporter protein, and hypoxia-inducible factor) were added to assess whether prediction improved over tumour-node staging alone as the main outcome measure. RESULTS Three hundred twenty-six of 448 participants formed the final cohort (226 male; mean 66 ± 10 years. 227 (70%) had ≥ T3 stage cancers; 151 (46%) were node-positive; 81 (25%) developed subsequent recurrence. The sensitivity and specificity of staging alone for recurrence were 0.56 [95% CI: 0.44, 0.67] and 0.58 [0.51, 0.64], respectively. The baseline clinicopathologic model improved specificity (0.74 [0.68, 0.79], with equivalent sensitivity of 0.57 [0.45, 0.68] for high vs medium/low-risk participants. The addition of prespecified CT perfusion, genetic, and immunohistochemical markers did not improve prediction over and above the clinicopathologic model (sensitivity, 0.58-0.68; specificity, 0.75-0.76). CONCLUSION A multivariable clinicopathological model outperformed staging in identifying patients at high risk of recurrence. Promising CT, genetic, and immunohistochemical markers investigated did not further improve prognostication in rigorous prospective evaluation. CLINICAL RELEVANCE STATEMENT A prognostic model based on clinicopathological variables including age, sex, tumour-node stage, size, location, and extramural venous invasion better identifies colorectal cancer patients at high risk of recurrence for neoadjuvant/adjuvant therapy than stage alone. KEY POINTS Identification of colorectal cancer patients at high risk of recurrence is an unmet need for treatment personalisation. This model for recurrence, incorporating many patient variables, had higher specificity than staging alone. Continued optimisation of risk stratification schema will help individualise treatment plans and follow-up schedules.
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Affiliation(s)
- Vicky Goh
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
- Department of Radiology, Guys and St. Thomas' NHS Foundation Trust, London, UK.
| | - Susan Mallett
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Victor Boulter
- Patient Representative, Mount Vernon Cancer Centre, Northwood, UK
| | | | - Saif Khan
- Research Department of Pathology, UCL Cancer Institute, University College London, London, UK
| | - Sarah Lessels
- Scottish Clinical Trials Research Unit, Public Health Scotland, Edinburgh, UK
| | - Dominic Patel
- Research Department of Pathology, UCL Cancer Institute, University College London, London, UK
| | - Davide Prezzi
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Radiology, Guys and St. Thomas' NHS Foundation Trust, London, UK
| | - Manuel Rodriguez-Justo
- Research Department of Pathology, UCL Cancer Institute, University College London, London, UK
| | - Stuart A Taylor
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Richard Beable
- Department of Radiology, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - Margaret Betts
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - David J Breen
- Department of Radiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Ingrid Britton
- Department of Radiology, University Hospitals North Midlands NHS Trust, Stoke-On-Trent, UK
| | - John Brush
- Department of Radiology, Western General Hospital, NHS Lothian, Edinburgh, UK
| | - Peter Correa
- Department of Oncology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Nicholas Dodds
- Department of Radiology, Jersey General Hospital, St. Helier, Jersey
| | - Joanna Dunlop
- Scottish Clinical Trials Research Unit, Public Health Scotland, Edinburgh, UK
| | - Sofia Gourtsoyianni
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Nyree Griffin
- Department of Radiology, Guys and St. Thomas' NHS Foundation Trust, London, UK
| | - Antony Higginson
- Department of Radiology, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - Andrew Lowe
- Department of Radiology, Musgrove Park Hospital, Somerset NHS Foundation Trust, Taunton, UK
| | - Andrew Slater
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | | | - Damian Tolan
- Department of Radiology, St James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Ian Zealley
- Department of Radiology, Ninewells Hospital, NHS Tayside, Dundee, UK
| | - Steve Halligan
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
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Li ZM, Zhou W, Feng L, Zhang HY, Chen WB. Predictive value of preoperative CT enhancement rate and CT perfusion parameters in colorectal cancer. BMC Gastroenterol 2024; 24:176. [PMID: 38773485 PMCID: PMC11106990 DOI: 10.1186/s12876-024-03257-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 05/07/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Angiogenesis is a critical step in colorectal cancer growth, progression and metastasization. CT are routine imaging examinations for preoperative clinical evaluation in colorectal cancer patients. This study aimed to investigate the predictive value of preoperative CT enhancement rate (CER) and CT perfusion parameters on angiogenesis in colorectal cancer, as well as the association of preoperative CER and CT perfusion parameters with serum markers. METHODS This retrospective analysis included 42 patients with colorectal adenocarcinoma. Median of microvessel density (MVD) as the cut-off value, it divided 42 patients into high-density group (MVD ≥ 35/field, n = 24) and low-density group (MVD < 35/field, n = 18), and 25 patients with benign colorectal lesions were collected as the control group. Statistical analysis of CER, CT perfusion parameters, serum markers were performed in all groups. Receiver operating curves (ROC) were plotted to evaluate the diagnostic efficacy of relevant CT perfusion parameters for tumor angiogenesis; Pearson correlation analysis explored potential association between CER, CT perfusion parameters and serum markers. RESULTS CER, blood volume (BV), blood flow (BF), permeability surface (PS) and carbohydrate antigen 19 - 9 (CA19-9), carbohydrate antigen 125 (CA125), carcinoembryonic antigen (CEA), trefoil factor 3 (TFF3), vascular endothelial growth factor (VEGF) in colorectal adenocarcinoma were significantly higher than those in the control group, the parameters in high-density group were significantly higher than those in the low-density group (P < 0.05); however, the time to peak (TTP) of patients in colorectal adenocarcinoma were significantly lower than those in the control group, and the high-density group showed a significantly lower level compared to the low-density group (P < 0.05). The combined parameters BF + TTP + PS and BV + BF + TTP + PS demonstrated the highest area under the curve (AUC), both at 0.991. Pearson correlation analysis showed that the serum levels of CA19-9, CA125, CEA, TFF3, and VEGF in patients showed positive correlations with CER, BV, BF, and PS (P < 0.05), while these indicators exhibited negative correlations with TTP (P < 0.05). CONCLUSIONS Some single and joint preoperative CT perfusion parameters can accurately predict tumor angiogenesis in colorectal adenocarcinoma. Preoperative CER and CT perfusion parameters have certain association with serum markers.
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Affiliation(s)
- Ze-Mao Li
- North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, 063000, China
- North China University of Science and Technology, Tangshan, Hebei, 063000, China
| | - Wei Zhou
- North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, 063000, China
| | - Li Feng
- North China University of Science and Technology, Tangshan, Hebei, 063000, China
| | - Hui-Ying Zhang
- North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, 063000, China
| | - Wei-Bin Chen
- North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, 063000, China.
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Sun J, Sheng J, Zhang LJ. Gastrointestinal tract. TRANSPATHOLOGY 2024:281-296. [DOI: 10.1016/b978-0-323-95223-1.00005-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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Agostini A, Borgheresi A, Mariotti F, Ottaviani L, Carotti M, Valenti M, Giovagnoni A. New Frontiers in Oncological Imaging With Computed Tomography: From Morphology to Function. Semin Ultrasound CT MR 2023; 44:214-227. [PMID: 37245886 DOI: 10.1053/j.sult.2023.03.009] [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: 04/03/2023]
Abstract
The latest evolutions in Computed Tomography (CT) technology have several applications in oncological imaging. The innovations in hardware and software allow for the optimization of the oncological protocol. Low-kV acquisitions are possible thanks to the new powerful tubes. Iterative reconstruction algorithms and artificial intelligence are helpful for the management of image noise during image reconstruction. Functional information is provided by spectral CT (dual-energy and photon counting CT) and perfusion CT.
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Affiliation(s)
- Andrea Agostini
- Department of Clinical, Special and Dental Sciences. University Politecnica delle Marche, Ancona, Italy; Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Ancona, Italy.
| | - Alessandra Borgheresi
- Department of Clinical, Special and Dental Sciences. University Politecnica delle Marche, Ancona, Italy; Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Ancona, Italy
| | - Francesco Mariotti
- Department of Radiological Sciences, Division of Medical Physics, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Ancona, Italy
| | - Letizia Ottaviani
- Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Ancona, Italy
| | - Marina Carotti
- Department of Clinical, Special and Dental Sciences. University Politecnica delle Marche, Ancona, Italy; Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Ancona, Italy
| | - Marco Valenti
- Department of Radiological Sciences, Division of Medical Physics, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Ancona, Italy
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences. University Politecnica delle Marche, Ancona, Italy; Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Ancona, Italy
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Dou Y, Liu Y, Kong X, Yang S. T staging with functional and radiomics parameters of computed tomography in colorectal cancer patients. Medicine (Baltimore) 2022; 101:e29244. [PMID: 35623068 PMCID: PMC9276127 DOI: 10.1097/md.0000000000029244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 04/20/2022] [Indexed: 01/04/2023] Open
Abstract
Preoperative T staging is closely related to operation planning and prognosis of colorectal cancer (CRC). This study aimed to re-investigate the value of computed tomography (CT) in T stage evaluation of CRC patients with both functional and radiomics parameters.The functional and radiomics parameters of CT images and the clinical information were collected from 32 CRC patients. The radiomics parameters were measured based on manually labelled 5-mm circles using software Syngo. The radiomics parameters were computed based on labelled tumor regions using Python software package.A total of 125 parameters were collected and analyzed by using decision tree analysis. The decision tree analysis identified 6 rules. Based on the rules, the shape elongation, flow extraction of nodule and blood volume of tumor region were found to be of significance and could define a high-risk group and a low-risk group.This study shows the combination of functional parameters and radiomics parameters of CT is helpful for the diagnosis and T staging of CRC.
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Affiliation(s)
- Yafang Dou
- Department of Radiology, Shuguang Hospital of Shanghai Traditional Chinese Medicine University, Shanghai, China
| | - Yingying Liu
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Xiancheng Kong
- Department of General Surgery, Shuguang Hospital of Shanghai Traditional Chinese Medicine University, Shanghai, China
| | - Shangying Yang
- Department of Gastroscope, Shuguang Hospital of Shanghai Traditional Chinese Medicine University, Shanghai, China
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Mohammadi A, Bartholmae W, Woisetschläger M. Comparison of multiphase data from CT perfusion vs clinical 4-phase CT scans with respect to image quality, lesion detection, and LI-RADS classification in HCC patients. Heliyon 2022; 8:e08757. [PMID: 35146150 PMCID: PMC8819526 DOI: 10.1016/j.heliyon.2022.e08757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 11/16/2021] [Accepted: 01/10/2022] [Indexed: 11/25/2022] Open
Abstract
Purpose The aim of this study was to assess the image quality and diagnostic performance of reconstructed arterial (A) and portal venous (PV) phases in computed tomography perfusion (CTP) scans compared to the corresponding phases in standard 4-phase CT and to assess the utility for LI-RADS classification using CTP and 4-phase 4CT. Methods A total of 26 scans with each method (CTP and 4-phase CT) from 19 hepatocellular carcinoma patients were analyzed and compared. Arterial and PV phases reconstructed by advanced modeled iterative reconstruction at strength 4 (ADMIRE 4) from raw CTP data were compared with image sets from arterial and PV phases of 4-phase CT (ADMIRE 3) in the same patient with respect to image quality. Results Quantitative image analysis showed that reconstructed CTP datasets were equivalent to 4-phase CT image sets. Qualitative image analysis revealed similar lesion detection rates with the 2 methods for patients with an abdominal diameter ≤36 cm and body weight <90 kg, but lower detection rates with CTP for patients with an abdominal diameter >37 cm. There was no difference in Liver Imaging Reporting and Data System (LI-RADS) classifications between the 2 methods. Conclusion Reconstructed CTP images can potentially replace 4-phase CT images in patients weighing <90 kg and with a body diameter <37 cm, as the 2 methods are comparable in terms of quantitative image quality and ability to detect and classify lesions based on LI-RADS criteria.
Reconstructed A- and PV-CTP images have comparable image quality to 4-phase CT. Reconstructed A- and PV-CTP images can be used for LI-RADS classification of HCC. A-/PV-CTP has the potential to reliably detect lesions in patients weighing <90 kg with body diameter ≤36 cm.
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Affiliation(s)
- A Mohammadi
- Department of Radiology, Department of Medical and Health Sciences, Linköping, Sweden
| | - W Bartholmae
- Department of Radiology, Department of Medical and Health Sciences, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - M Woisetschläger
- Department of Radiology, Department of Medical and Health Sciences, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
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11
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Garbino N, Brancato V, Salvatore M, Cavaliere C. A Systematic Review on the Role of the Perfusion Computed Tomography in Abdominal Cancer. Dose Response 2021; 19:15593258211056199. [PMID: 34880716 PMCID: PMC8647276 DOI: 10.1177/15593258211056199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 11/17/2022] Open
Abstract
Background and purpose Perfusion Computed Tomography (CTp) is an imaging technique which allows
quantitative and qualitative evaluation of tissue perfusion through dynamic
CT acquisitions. Since CTp is still considered a research tool in the field
of abdominal imaging, the aim of this work is to provide a systematic
summary of the current literature on CTp in the abdominal region to clarify
the role of this technique for abdominal cancer applications. Materials and Methods A systematic literature search of PubMed, Web of Science, and Scopus was
performed to identify original articles involving the use of CTp for
clinical applications in abdominal cancer since 2011. Studies were included
if they reported original data on CTp and investigated the clinical
applications of CTp in abdominal cancer. Results Fifty-seven studies were finally included in the study. Most of the included
articles (33/57) dealt with CTp at the level of the liver, while a low
number of studies investigated CTp for oncologic diseases involving UGI
tract (8/57), pancreas (8/57), kidneys (3/57), and colon–rectum (5/57). Conclusions Our study revealed that CTp could be a valuable functional imaging tool in
the field of abdominal oncology, particularly as a biomarker for monitoring
the response to anti-tumoral treatment.
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12
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Zou HJ, Guo SW, Zhu L, Xu X, Liu JB. Methylprednisolone Induces Neuro-Protective Effects via the Inhibition of A1 Astrocyte Activation in Traumatic Spinal Cord Injury Mouse Models. Front Neurosci 2021; 15:628917. [PMID: 34135725 PMCID: PMC8200570 DOI: 10.3389/fnins.2021.628917] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 03/24/2021] [Indexed: 11/13/2022] Open
Abstract
Traumatic spinal cord injury (TSCI) leads to pathological changes such as inflammation, edema, and neuronal apoptosis. Methylprednisolone (MP) is a glucocorticoid that has a variety of beneficial effects, including decreasing inflammation and ischemic reaction, as well as inhibiting lipid peroxidation. However, the efficacy and mechanism of MP in TSCI therapy is yet to be deciphered. In the present study, MP significantly attenuated the apoptotic effects of H2O2 in neuronal cells. Western blot analysis demonstrated that the levels of apoptotic related proteins, Bax and cleaved caspase-3, were reduced while levels of anti-apoptotic Bcl-2 were increased. In vivo TUNEL assays further demonstrated that MP effectively protected neuronal cells from apoptosis after TSCI, and was consistent with in vitro studies. Furthermore, we demonstrated that MP could decrease expression levels of IBA1, Il-1α, TNFα, and C3 and suppress A1 neurotoxic reactive astrocyte activation in TSCI mouse models. Neurological function was evaluated using the Basso Mouse Scale (BMS) and Footprint Test. Results demonstrated that the neurological function of MP-treated injured mice was significantly increased. In conclusion, our study demonstrated that MP could attenuate astrocyte cell death, decrease microglia activation, suppress A1 astrocytes activation, and promote functional recovery after acute TSCI in mouse models.
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Affiliation(s)
- Hong-Jun Zou
- Department of Spinal Surgery, The Third Affiliated Hospital of Soochow University (The First People's Hospital of Changzhou), Changzhou, China
| | - Shi-Wu Guo
- Department of Spinal Surgery, The Third Affiliated Hospital of Soochow University (The First People's Hospital of Changzhou), Changzhou, China
| | - Lin Zhu
- Department of Cardiology, The Third Affiliated Hospital of Soochow University (The First People's Hospital of Changzhou), Changzhou, China
| | - Xu Xu
- Department of Spinal Surgery, The Third Affiliated Hospital of Soochow University (The First People's Hospital of Changzhou), Changzhou, China
| | - Jin-Bo Liu
- Department of Spinal Surgery, The Third Affiliated Hospital of Soochow University (The First People's Hospital of Changzhou), Changzhou, China
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13
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Li JL, Ye WT, Yan LF, Liu ZY, Cao XM, Liang CH. Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors. ACTA ACUST UNITED AC 2021; 26:264-270. [PMID: 32490833 DOI: 10.5152/dir.2019.19147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE We aimed to explore the influence of tube voltage, current and iterative reconstruction (IR) in computed tomography perfusion imaging (CTPI) and to compare CTPI parameters with microvessel density (MVD). METHODS Hepatic CTPI with three CTPI protocols (protocol A, tube voltage/current 80 kV/40 mAs; protocol B, tube voltage/current 80 kV/80 mAs; protocol C: tube voltage/current 100 kV/80 mAs) were performed in 25 rabbit liver VX2 tumor models, and filtered back projection (FBP) and IR were used for reconstruction of raw data. Hepatic arterial perfusion (HAP), hepatic portal perfusion (HPP), total perfusion (TP), hepatic arterial perfusion index (HPI), blood flow (BF) and blood volume (BV) of VX2 tumor and normal hepatic parenchyma were measured. Image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were quantified and radiation dose was recorded. MVD was counted using CD34 stain and compared with CTPI parameters. RESULTS The highest radiation dose was found in protocol C, followed by protocols B and A. IR lowered image noise and improved SNR and CNR in all three protocols. There was no statistical difference between HAP, HPP, TP, HPI, BF and BV of VX2 tumor and normal hepatic parenchyma among the three protocols (P > 0.05) with FBP or IR reconstruction, and no statistical difference between IR and FBP reconstruction (P > 0.05) in either protocol. MVD had a positive linear correlation with HAP, TP, BF, with best correlation observed with HAP; MVD of VX2 tumor showed no or poor correlation with HPI and BV. CONCLUSION CTPI parameters are not affected by tube voltage, current or reconstruction algorithm; HAP can best reflect MVD, but no correlation exists between BV and MVD.
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Affiliation(s)
| | | | | | | | | | - Chang-Hong Liang
- Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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14
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Veit-Haibach P, Huellner MW, Banyai M, Mafeld S, Heverhagen J, Strobel K, Sah BR. CT perfusion in peripheral arterial disease-hemodynamic differences before and after revascularisation. Eur Radiol 2021; 31:5507-5513. [PMID: 33547479 PMCID: PMC8270809 DOI: 10.1007/s00330-021-07692-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 11/16/2020] [Accepted: 01/18/2021] [Indexed: 12/31/2022]
Abstract
Objectives The purpose of this study was the assessment of volumetric CT perfusion (CTP) of the lower leg musculature in patients with symptomatic peripheral arterial disease (PAD) before and after interventional revascularisation. Methods Twenty-nine consecutive patients with symptomatic PAD of the lower extremities requiring interventional revascularisation were assessed prospectively. All patients underwent a CTP scan of the lower leg, and hemodynamic and angiographic assessment, before and after intervention. Ankle-brachial pressure index (ABI) was determined. CTP parameters were calculated with a perfusion software, acting on a no outflow assumption. A sequential two-compartment model was used. Differences in CTP parameters were assessed with non-parametric tests. Results The cohort consisted of 24 subjects with an occlusion, and five with a high-grade stenosis. The mean blood flow before/after (BFpre and BFpost, respectively) was 7.42 ± 2.66 and 10.95 ± 6.64 ml/100 ml*min−1. The mean blood volume before/after (BVpre and BVpost, respectively) was 0.71 ± 0.35 and 1.25 ± 1.07 ml/100 ml. BFpost and BVpost were significantly higher than BFpre and BVpre in the treated limb (p = 0.003 and 0.02, respectively), but not in the untreated limb (p = 0.641 and 0.719, respectively). Conclusions CTP seems feasible for assessing hemodynamic differences in calf muscles before and after revascularisation in patients with symptomatic PAD. We could show that CTP parameters BF and BV are significantly increased after revascularisation of the symptomatic limb. In the future, this quantitative method might serve as a non-invasive method for surveillance and therapy control of patients with peripheral arterial disease. Key Points • CTP imaging of the lower limb in patients with symptomatic PAD seems feasible for assessing hemodynamic differences before and after revascularisation in PAD patients. • This quantitative method might serve as a non-invasive method, for surveillance and therapy control of patients with PAD. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-021-07692-5.
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Affiliation(s)
- Patrick Veit-Haibach
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.,Department of Radiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Zurich, Switzerland.,Joint Department of Medical Imaging, University of Toronto, Toronto, Canada.,Department of Radiology and Nuclear Medicine, Lucerne Cantonal Hospital, Lucerne, Switzerland
| | - Martin W Huellner
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Zurich, Switzerland.,Department of Radiology and Nuclear Medicine, Lucerne Cantonal Hospital, Lucerne, Switzerland
| | - Martin Banyai
- Department of Internal Medicine, Subdivision of Angiology, Lucerne Cantonal Hospital, Lucerne, Switzerland.,Clinic for Angiology, University Hospital Zurich, Zurich, Switzerland
| | - Sebastian Mafeld
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Johannes Heverhagen
- Department of Diagnostic, Interventional, and Pediatric Radiology, Inselspital, University of Bern, Bern, Switzerland
| | - Klaus Strobel
- Department of Radiology and Nuclear Medicine, Lucerne Cantonal Hospital, Lucerne, Switzerland
| | - Bert-Ram Sah
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland. .,University of Zurich, Zurich, Switzerland. .,Department of Diagnostic, Interventional, and Pediatric Radiology, Inselspital, University of Bern, Bern, Switzerland. .,Department of Cancer Imaging, King's College London, London, UK.
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15
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van Amerongen MJ, Vos AM, van der Woude W, Nagtegaal ID, de Wilt JHW, Fütterer JJ, Hermans JJ. Does perfusion computed tomography correlate to pathology in colorectal liver metastases? PLoS One 2021; 16:e0245764. [PMID: 33497385 PMCID: PMC7837475 DOI: 10.1371/journal.pone.0245764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 01/08/2021] [Indexed: 11/18/2022] Open
Abstract
Introduction Targeted therapy against tumor angiogenesis is widely used in clinical practice for patients with colorectal liver metastases (CRLM). Possible predictive biomarkers for tumor angiogenesis, such as, microvessel density (MVD), hypoxia and cell proliferation, can be determined using immunohistochemical staining. However, patients ineligible for surgical treatment need to undergo invasive diagnostic interventions in order to determine these biomarkers. CT perfusion (CTP) is an emerging functional imaging technique, which can non-invasively determine vascular properties of solid tumors. The purpose of this study was to evaluate CTP with histological biomarkers in CRLM. Material and methods Patients with CRLM underwent CTP one day before liver surgery. CTP analysis was performed on the entire volume of the largest metastases in each patient. Dual-input maximum slope analysis was used and data concerning arterial flow (AF), portal flow (PF) and perfusion index (PI) were recorded. Immunohistochemical staining with CD34, M75/CA-IX and MIB-1 was performed on the rim in the midsection of the tumor to determine respectively MVD, hypoxia and cell proliferation. Results Twenty CRLM in 20 patients were studied. Mean size of the largest CRLM was 37 mm (95% CI 21–54 mm). Mean AF and PF were respectively 64 ml/min/100ml (95% CI 48–79) and 30 ml/min/100ml (95% CI 22–38). Mean PI was 68% (95% CI 62–73). No significant correlation was found between tumor growth patterns and CTP (p = 0.95). MVD did not significantly correlate to AF (r = 0.05; p = 0.84), PF (r = 0.17; p = 0.47) and PI (r = -0.12; p = 0.63). Cell proliferation also did not significantly correlate to AF (r = 0.07; p = 0.78), PF (r = -0.01; p = 0.95) and PI (r = 0.15; p = 0.52). Hypoxia did not significantly correlate to AF (r = -0.05; p = 0.83), however, significantly to PF (r = 0.51; p = 0.02) and a trend to negative correlation with PF (r = -0.43; p = 0.06). However, after controlling the false discovery rate, no significant correlation between CTP and used immunohistochemical biomarkers was found. Conclusion In conclusion, this feasibility study found a trend to negative correlation between PI and hypoxia, CTP might therefore possibly evaluate this prognostic marker in CRLM non-invasively. However, CTP is not an appropriate technique for the assessment of microvessels or cell proliferation in CRLM.
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Affiliation(s)
- M. J. van Amerongen
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
- * E-mail:
| | - A. M. Vos
- Department of Pathology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - W. van der Woude
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - I. D. Nagtegaal
- Department of Pathology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - J. H. W. de Wilt
- Department of Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - J. J. Fütterer
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - J. J. Hermans
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
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16
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Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth. Cancer Imaging 2021; 21:13. [PMID: 33468259 PMCID: PMC7816417 DOI: 10.1186/s40644-021-00382-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 01/06/2021] [Indexed: 12/14/2022] Open
Abstract
Background/objectives The aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC). Methods In this prospective study, DW-MRI and CT perfusion were conducted in nineteen patients with PDAC on the day before surgery. IVIM analysis of DW-MRI was performed and the parameters perfusion fraction f, pseudodiffusion coefficient D*, and diffusion coefficient D were extracted for tumors, upstream, and downstream parenchyma. With a deconvolution-based analysis, the CT perfusion parameters blood flow (BF) and blood volume (BV) were estimated for tumors, upstream, and downstream parenchyma. In ten patients, intratumoral microvessel density (MVDtumor) and microvessel area (MVAtumor) were analyzed microscopically in resection specimens. Correlation coefficients between IVIM parameters, CT perfusion parameters, and histological microvessel parameters in tumors were calculated. Receiver operating characteristic (ROC) analysis was performed for differentiation of tumors and upstream parenchyma. Results ftumor significantly positively correlated with BFtumor (r = 0.668, p = 0.002) and BVtumor (r = 0.672, p = 0.002). There were significant positive correlations between ftumor and MVDtumor/ MVAtumor (r ≥ 0.770, p ≤ 0.009) as well as between BFtumor and MVDtumor/ MVAtumor (r ≥ 0.697, p ≤ 0.025). Correlation coefficients between ftumor and MVDtumor/ MVAtumor were not significantly different from correlation coefficients between BFtumor and MVDtumor/ MVAtumor (p ≥ 0.400). Moreover, f, BF, BV, and permeability values (PEM) showed excellent performance in distinguishing tumors from upstream parenchyma (area under the ROC curve ≥0.874). Conclusions The study shows that IVIM derived ftumor and CT perfusion derived BFtumor similarly reflect vascularity of PDAC and seem to be comparably applicable for the evaluation of tumor perfusion for tumor characterization and as potential quantitative imaging biomarker. Trial registration DRKS, DRKS00022227, Registered 26 June 2020, retrospectively registered. https://www.drks.de/drks_web/navigate.do?navigationId=trial. HTML&TRIAL_ID=DRKS00022227. Supplementary Information The online version contains supplementary material available at 10.1186/s40644-021-00382-x.
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17
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Fuentes D, Thompson E, Jacobsen M, Crouch AC, Layman RR, Riviere B, Cressman E. Imaging-based characterization of convective tissue properties. Int J Hyperthermia 2021; 37:155-163. [PMID: 33426993 PMCID: PMC7983068 DOI: 10.1080/02656736.2020.1845403] [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] [Indexed: 12/11/2022] Open
Abstract
Convective transport is an important phenomenon for nanomedicine delivery. We present an imaging-based approach to recover tissue properties that are significant in the accumulation of nanoparticles delivered via systemic methods. The classical pharmacokinetic analysis develops governing equations for the particle transport from a first principle mass balance. Fundamentally, the governing equations for compartmental mass balance represent a spatially invariant mass transport between compartments and do not capture spatially variant convection phenomena. Further, the parameters recovered from this approach do not necessarily have direct meaning with respect to the governing equations for convective transport. In our approach, a framework is presented for directly measuring permeability in the sense of Darcy flow through porous tissue. Measurements from our approach are compared to an extended Tofts model as a control. We demonstrate that a pixel-wise iterative clustering algorithm may be applied to reduce the parameter space of the measurements. We show that measurements obtained from our approach are correlated with measurements obtained from the extended Tofts model control. These correlations demonstrate that the proposed approach contains similar information to an established compartmental model and may be useful in providing an alternative theoretical framework for parameterizing mathematical models for treatment planning and diagnostic studies involving nanomedicine where convection dominated effects are important.
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Affiliation(s)
- D Fuentes
- Departments of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.,Department of Computational and Applied Mathematics, Rice University, Houston, TX, USA
| | - E Thompson
- Departments of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - M Jacobsen
- Departments of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - A Colleen Crouch
- Interventional Radiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - R R Layman
- Departments of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - B Riviere
- Department of Computational and Applied Mathematics, Rice University, Houston, TX, USA
| | - E Cressman
- Interventional Radiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
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18
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Khalaf LMR, Megal PE, El-Sharkawy M, Elkader AA, Sayed MM, Hussien MT, Eltyb HA. The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020. [DOI: 10.1186/s43055-020-00166-6] [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
The aim of this study is to prospectively determine whether the computed tomography perfusion (CTP) can predict the tumor grade in colorectal cancer (CRC), and investigation of the best position of the tumor region of interest (ROI) could improve the tumor grade differentiation.
Results
The mean blood flow (mBF) at the tumor edge was significantly different among different tumor grades with the highest value noted in moderately differentiated and the lowest value in poorly differentiated CRC (111.67 ± 38.91 vs. 52.25 ± 21.97 ml/min/100 g, respectively, P = 0.03). At the tumor center, the BF and blood volume (BV) showed highest value in moderately differentiated and the lowest value in poorly differentiated CRC (P < 0.001, 0.02 respectively). The ROC curve revealed that the BF at the tumor edge showed its best results as regard its sensitivity 73.9% and specificity 82.1% in the characterization of moderately differentiated CRC from the other subtypes at > 92.2 ml/100 g/min cut off point and their AUC and P value were (0.82 and < 0.001 respectively), while the AUC of the BF at the tumor center was 0.81 and its P value was 0.03. In the characterization of poorly differentiated CRC from the other subtypes, BF cut off value at < 67.32 ml/100 g/min at the tumor edge showed the best performance of its sensitivity 88% and specificity 88% with 0.92 AUC and P value was < 0.001, while the AUC of the BF at the tumor center was 0.89. BF was higher at the edge than at the center of the tumor (88.53 ± 22.45 vs. 78.79 ± 28.98 ml/min/100 g; P < 0.001 respectively).
Conclusions
PCT could help in prediction of the poorly and the moderately differentiated CRC and the mBF was the most reliable parameter in prediction of the grade. The variation in ROI position has no substantial difference in the prediction of the tumor grade; however, this variation has a significant impact on the measurements of the PCT parameters especially the BF.
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19
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Zhao J, Ding Y, He R, Huang K, Liu L, Jiang C, Liu Z, Wang Y, Yan X, Cao F, Huang X, Peng Y, Ren R, He Y, Cui T, Zhang Q, Zhang X, Liu Q, Li Y, Ma Z, Yi X. Dose-effect relationship and molecular mechanism by which BMSC-derived exosomes promote peripheral nerve regeneration after crush injury. Stem Cell Res Ther 2020; 11:360. [PMID: 32811548 PMCID: PMC7437056 DOI: 10.1186/s13287-020-01872-8] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 07/28/2020] [Accepted: 08/03/2020] [Indexed: 12/13/2022] Open
Abstract
Background The development of new treatment strategies to improve peripheral nerve repair after injury, especially those that accelerate axonal nerve regeneration, is very important. The aim of this study is to elucidate the molecular mechanisms of how bone marrow stromal cell (BMSC)-derived exosomes (EXOs) participate in peripheral nerve regeneration and whether the regenerative effect of EXOs is correlated with dose. Method BMSCs were transfected with or without an siRNA targeting Ago2 (SiAgo2). EXOs extracted from the BMSCs were administered to dorsal root ganglion (DRG) neurons in vitro. After 48 h of culture, the neurite length was measured. Moreover, EXOs at four different doses were injected into the gastrocnemius muscles of rats with sciatic nerve crush injury. The sciatic nerve functional index (SFI) and latency of thermal pain (LTP) of the hind leg sciatic nerve were measured before the operation and at 7, 14, 21, and 28 days after the operation. Then, the number and diameter of the regenerated fibers in the injured distal sciatic nerve were quantified. Seven genes associated with nerve regeneration were investigated by qRT-PCR in DRG neurons extracted from rats 7 days after the sciatic nerve crush. Results We showed that after 48 h of culture, the mean number of neurites and the length of cultured DRG neurons in the SiAgo2-BMSC-EXO and SiAgo2-BMSC groups were smaller than that in the untreated and siRNA control groups. The average number and diameter of regenerated axons, LTP, and SFI in the group with 0.9 × 1010 particles/ml EXOs were better than those in other groups, while the group that received a minimum EXO dose (0.4 × 1010 particles/ml) was not significantly different from the PBS group. The expression of PMP22, VEGFA, NGFr, and S100b in DRGs from the EXO-treated group was significantly higher than that in the PBS control group. No significant difference was observed in the expression of HGF and Akt1 among the groups. Conclusions These results showed that BMSC-derived EXOs can promote the regeneration of peripheral nerves and that the mechanism may involve miRNA-mediated regulation of regeneration-related genes, such as VEGFA. Finally, a dose-effect relationship between EXO treatment and nerve regeneration was shown.
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Affiliation(s)
- Jiuhong Zhao
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China.,Department of Anatomy, Hainan Medical University, Haikou, China
| | - Yali Ding
- School of Medicine, Tibet University, Lhasa, China
| | - Rui He
- Department of Anatomy, Hainan Medical University, Haikou, China.,Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Kui Huang
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Lu Liu
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Chaona Jiang
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Zhuozhou Liu
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Yuanlan Wang
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Xiaokai Yan
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Fuyang Cao
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Xueying Huang
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China
| | - Yanan Peng
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China.,Department of Anatomy, Hainan Medical University, Haikou, China
| | - Rui Ren
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China.,Department of Anatomy, Hainan Medical University, Haikou, China
| | - Yuebin He
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China.,Department of Anatomy, Hainan Medical University, Haikou, China
| | - Tianwei Cui
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China.,Department of Anatomy, Hainan Medical University, Haikou, China
| | - Quanpeng Zhang
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China.,Department of Anatomy, Hainan Medical University, Haikou, China
| | - Xianfang Zhang
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China.,Department of Anatomy, Hainan Medical University, Haikou, China
| | - Qibing Liu
- Department of Anatomy, Hainan Medical University, Haikou, China
| | - Yunqing Li
- Department of Anatomy, Hainan Medical University, Haikou, China
| | - Zhijian Ma
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China. .,Department of Anatomy, Hainan Medical University, Haikou, China.
| | - Xinan Yi
- Key Laboratory of Brain Science Research & Transformation in Tropical Environment of Hainan Province, Hainan Medical University, Haikou, China. .,Department of Anatomy, Hainan Medical University, Haikou, China.
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Itraconazole inhibits the Hedgehog signaling pathway thereby inducing autophagy-mediated apoptosis of colon cancer cells. Cell Death Dis 2020; 11:539. [PMID: 32681018 PMCID: PMC7367825 DOI: 10.1038/s41419-020-02742-0] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 07/01/2020] [Accepted: 07/02/2020] [Indexed: 12/14/2022]
Abstract
Itraconazole is as an antifungal medication used to treat systemic fungal infections. Recently, it has been reported to be effective in suppressing tumor growth by inhibiting the Hedgehog signaling pathway and angiogenesis. In the present study, we investigated whether itraconazole induces autophagy-mediated cell death of colon cancer cells through the Hedgehog signaling pathway. Cell apoptosis and cell cycle distribution of the colon cancer cell lines SW-480 and HCT-116 were detected by flow cytometry and terminal TUNEL assay. Autophagy and signal proteins were detected by western blotting and cell proliferation-associated antigen Ki-67 was measured using immunohistochemistry. The images of autophagy flux and formation of autophagosomes were observed by laser scanning confocal and/or transmission electron microscopy. Colon cancer cell xenograft mouse models were also established. Itraconazole treatment inhibited cell proliferation via G1 cell cycle arrest as well as autophagy-mediated apoptosis of SW-480 and HCT-116 colon cancer cells. In addition, the Hedgehog pathway was found to be involved in activation of itraconazole-mediated autophagy. After using the Hedgehog agonist recombinant human Sonic Hedgehog (rhshh), itraconazole could counteract the activation of rhshh. Moreover, treatment with itraconazole produced significant cancer inhibition in HCT-116-bearing mice. Thus, itraconazole may be a potential and effective therapy for the treatment of colon cancer.
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Badia S, Picchia S, Bellini D, Ferrari R, Caruso D, Paolantonio P, Carbone I, Laghi A, Rengo M. The Role of Contrast-Enhanced Imaging for Colorectal Cancer Management. CURRENT COLORECTAL CANCER REPORTS 2019. [DOI: 10.1007/s11888-019-00443-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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22
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Bogowicz M, Tanadini-Lang S, Veit-Haibach P, Pruschy M, Bender S, Sharma A, Hüllner M, Studer G, Stieb S, Hemmatazad H, Glatz S, Guckenberger M, Riesterer O. Perfusion CT radiomics as potential prognostic biomarker in head and neck squamous cell carcinoma. Acta Oncol 2019; 58:1514-1518. [PMID: 31304860 DOI: 10.1080/0284186x.2019.1629013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- M. Bogowicz
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - S. Tanadini-Lang
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - P. Veit-Haibach
- Department of Nuclear Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - M. Pruschy
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - S. Bender
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - A. Sharma
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - M. Hüllner
- Department of Nuclear Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - G. Studer
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute for Radiation Oncology, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - S. Stieb
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - H. Hemmatazad
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - S. Glatz
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - M. Guckenberger
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - O. Riesterer
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Center for Radiation Oncology, KSA-KSB, Cantonal Hospital Aarau, Aarau, Switzerland
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Mainenti PP, Stanzione A, Guarino S, Romeo V, Ugga L, Romano F, Storto G, Maurea S, Brunetti A. Colorectal cancer: Parametric evaluation of morphological, functional and molecular tomographic imaging. World J Gastroenterol 2019; 25:5233-5256. [PMID: 31558870 PMCID: PMC6761241 DOI: 10.3748/wjg.v25.i35.5233] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 08/06/2019] [Accepted: 08/24/2019] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) represents one of the leading causes of tumor-related deaths worldwide. Among the various tools at physicians' disposal for the diagnostic management of the disease, tomographic imaging (e.g., CT, MRI, and hybrid PET imaging) is considered essential. The qualitative and subjective evaluation of tomographic images is the main approach used to obtain valuable clinical information, although this strategy suffers from both intrinsic and operator-dependent limitations. More recently, advanced imaging techniques have been developed with the aim of overcoming these issues. Such techniques, such as diffusion-weighted MRI and perfusion imaging, were designed for the "in vivo" evaluation of specific biological tissue features in order to describe them in terms of quantitative parameters, which could answer questions difficult to address with conventional imaging alone (e.g., questions related to tissue characterization and prognosis). Furthermore, it has been observed that a large amount of numerical and statistical information is buried inside tomographic images, resulting in their invisibility during conventional assessment. This information can be extracted and represented in terms of quantitative parameters through different processes (e.g., texture analysis). Numerous researchers have focused their work on the significance of these quantitative imaging parameters for the management of CRC patients. In this review, we aimed to focus on evidence reported in the academic literature regarding the application of parametric imaging to the diagnosis, staging and prognosis of CRC while discussing future perspectives and present limitations. While the transition from purely anatomical to quantitative tomographic imaging appears achievable for CRC diagnostics, some essential milestones, such as scanning and analysis standardization and the definition of robust cut-off values, must be achieved before quantitative tomographic imaging can be incorporated into daily clinical practice.
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Affiliation(s)
- Pier Paolo Mainenti
- Institute of Biostructures and Bioimaging of the National Council of Research (CNR), Naples 80145, Italy
| | - Arnaldo Stanzione
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Salvatore Guarino
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Valeria Romeo
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Lorenzo Ugga
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Federica Romano
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Giovanni Storto
- IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture 85028, Italy
| | - Simone Maurea
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Arturo Brunetti
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
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Ren XJ. CT and MRI assessment of intestinal blood flow. Shijie Huaren Xiaohua Zazhi 2019; 27:851-856. [DOI: 10.11569/wcjd.v27.i14.851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The accuracy of multi-slice computed tomography (CT) in the diagnosis of acute mesenteric ischemia is very high, however, it cannot demonstrate the small embolus of blood vessels and abnormal intestinal blood flow. The intestinal blood flow in chronic mesenteric ischemia decreases whereas there are few morphology changes, which leads to a high misdiagnosis rate of CT and CT angiography. In addition, inflammatory bowel disease, intestinal tumors, and portal hypertension can be diagnosed definitely by conventional CT, but the hemodynamics and microcirculation in these conditions cannot be assessed, which affects the accuracy of clinical staging and the assessment of therapeutic effect. For intestinal diseases, especially mesenteric ischemia, therefore, it is needed not only to make CT morphologic diagnosis but also to further assess the abnormal intestinal blood flow. In recent years, more and more CT and magnetic resonance imaging (MRI)-related new techniques for assessing blood flow have emerged, including CT perfusion, spectral CT imaging, magnetic resonance perfusion imaging, and phase contrast MRI. This paper reviews the clinical application and progress of these techniques for assessing intestinal blood flow.
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Affiliation(s)
- Xiao-Jun Ren
- Department of Radiology, Xidian Group Hospital Affiliated Shaanxi University of Chinese Medicine, Xi'an 710077, Shaanxi Province, China
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Abstract
OBJECTIVE Imaging plays a key role in the assessment of patients before, during, and after percutaneous cryoablation of hepatic tumors. Intra-procedural and early post-procedure imaging with CT and MRI is vital to the assessment of technical success including adequacy of ablation zone coverage. Recognition of the normal expected post-procedure findings of hepatic cryoablation such as ice ball formation, hydrodissection, and the normal appearance of the ablation zone is crucial to be able to differentiate from complications including vascular, biliary, or non-target organ injury. Delayed imaging is essential for determination of clinical effectiveness and detection of unexpected findings such as residual unablated tumor and local tumor progression. The purpose of this article is to review the spectrum of expected and unexpected imaging findings that may occur during or after percutaneous cryoablation of hepatic tumors. CONCLUSION Differentiating expected from unexpected findings during and after hepatic cryoablation helps radiologists identify residual or recurrent tumor and detect procedure-related complications.
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Reginelli A, Vacca G, Zanaletti N, Troiani T, Natella R, Maggialetti N, Palumbo P, Giovagnoni A, Ciardiello F, Cappabianca S. Diagnostic value/performance of radiological liver imaging during chemoterapy for gastrointestinal malignancy: a critical review. ACTA BIO-MEDICA : ATENEI PARMENSIS 2019; 90:51-61. [PMID: 31085973 PMCID: PMC6625573 DOI: 10.23750/abm.v90i5-s.8346] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Indexed: 12/28/2022]
Abstract
This article reviews the main toxic effect, complications and relative imaging findings of the liver that may appear during the oncologic follow up among patients affected by gastrointestinal malignancy. Awareness of the causative chemotherapeutic agent and regimens, pathophysiology and relative characteristic imaging findings of hepatic injuries is critical in order to obtain an accurate diagnosis especially when these parenchymal lesions are focal. An accurate synergic radiological diagnosis with Computed Tomography (CT) and Magnetic Resonance (MR) techniques may induce a potential termination of ineffective/toxic chemotherapy during early phases of treatment, changing the therapeutic plan in order to avoid first unnecessary liver biopsy and then invasive treatment as hepatic resection if not required.
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Affiliation(s)
- Alfonso Reginelli
- Department of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
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Li W, Quan YY, Li Y, Lu L, Cui M. Monitoring of tumor vascular normalization: the key points from basic research to clinical application. Cancer Manag Res 2018; 10:4163-4172. [PMID: 30323672 PMCID: PMC6175544 DOI: 10.2147/cmar.s174712] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Tumor vascular normalization alleviates hypoxia in the tumor microenvironment, reduces the degree of malignancy, and increases the efficacy of traditional therapy. However, the time window for vascular normalization is narrow; therefore, how to determine the initial and final points of the time window accurately is a key factor in combination therapy. At present, the gold standard for detecting the normalization of tumor blood vessels is histological staining, including tumor perfusion, microvessel density (MVD), vascular morphology, and permeability. However, this detection method is almost unrepeatable in the same individual and does not dynamically monitor the trend of the time window; therefore, finding a relatively simple and specific monitoring index has important clinical significance. Imaging has long been used to assess changes in tumor blood vessels and tumor changes caused by the oxygen environment in clinical practice; some preclinical and clinical research studies demonstrate the feasibility to assess vascular changes, and some new methods were in preclinical research. In this review, we update the most recent insights of evaluating tumor vascular normalization.
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Affiliation(s)
- Wei Li
- Department of General Surgery, Zhuhai People's Hospital, Jinan University, Zhuhai, Guangdong, People's Republic of China,
| | - Ying-Yao Quan
- Department of Precision Medical Center, Zhuhai People's Hospital, Jinan University, Zhuhai, Guangdong, People's Republic of China
| | - Yong Li
- Department of Intervention, Zhuhai People's Hospital, Jinan University, Zhuhai, Guangdong, People's Republic of China,
| | - Ligong Lu
- Department of Intervention, Zhuhai People's Hospital, Jinan University, Zhuhai, Guangdong, People's Republic of China,
| | - Min Cui
- Department of General Surgery, Zhuhai People's Hospital, Jinan University, Zhuhai, Guangdong, People's Republic of China,
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Niu T, Yang P, Sun X, Mao T, Xu L, Yue N, Kuang Y, Shi L, Nie K. Variations of quantitative perfusion measurement on dynamic contrast enhanced CT for colorectal cancer: implication of standardized image protocol. Phys Med Biol 2018; 63:165009. [PMID: 29889046 DOI: 10.1088/1361-6560/aacb99] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Tumor angiogenesis is considered an important prognostic factor. With an increasing emphasis on imaging evaluation of the tumor microenvironment, dynamic contrast enhanced-computed tomography (DCE-CT) has evolved as an important functional technique in this setting. Yet many questions remain as to how and when these functional measurements should be performed for each agent and tumor type, and what quantitative models should be used in the fitting process. In this study, we evaluated the variations of perfusion measurement on DCE-CT for rectal cancer patients from (1) different tracer kinetic models, (2) different scan acquisition lengths, and (3) different scan intervals. A total of seven commonly used models were studied: the adiabatic approximation to the tissue homogeneity (AATH) model, adiabatic approximation to the homogeneity tissue with fixed transit time (AATHFT) model, the Tofts model (TM), the extended Tofts model (ETM), Patlak model, Logan model, and the model-free deconvolution method. Akaike's information criterion was used to identify the best fitting model. The interchangeability of different models was further evaluated using Bland-Altman analysis. All models gave comparable blood volume (BV) measurements except the Patlak method. While for the volume transfer constant (Ktrans) estimation, AATHFT, AATH, and ETM generated reasonable agreement among each other but not for the other models. Regarding the blood flow (BF) measurement, no two models were interchangeable. In addition, the perfusion parameters were compared with four acquisition times (45, 65, 85, and 105 s) and four temporal intervals (1, 2, 3, and 4 s). No significant difference was observed in the volume transfer constant (Ktrans), BV, and BF measurements when comparing data acquired over 65 s with data acquired over 105 s using any of the DCE models in this study. Yet increasing the temporal interval led to a significant overestimation of BF in the deconvolution method. In conclusion, the perfusion measurement is indeed model dependent and the image acquisition/processing technique is dependent. The radiation dose of DCE-CT was an average of 1.5-2 times an abdomen/pelvic CT, which is not insubstantial. To take the DCE-CT forward as a biomarker in oncology, prospective studies should be carefully designed with the optimal image acquisition and analysis technique.
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Affiliation(s)
- Tianye Niu
- Institute of Translational Medicine, Zhejiang University, Hangzhou 310013, People's Republic of China. Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310019, People's Republic of China. Both authors contribute equally
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Trinidad López C, Souto Bayarri M, Oca Pernas R, Delgado Sánchez-Gracián C, González Vázquez M, Vaamonde Liste A, Tardáguila De La Fuente G, De La Fuente Aguado J. Characteristics of computed tomography perfusion parameters in non-small-cell-lung-cancer and its relationship to histology, size, stage an treatment response. Clin Imaging 2018; 50:5-12. [DOI: 10.1016/j.clinimag.2017.12.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 10/27/2017] [Accepted: 12/01/2017] [Indexed: 11/29/2022]
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Venkat B, Sharma S, Sharma D, Sood S, Aggarwal N, Sarkar M, Seam RK, Mittal N, Rana L. CT perfusion in non-small cell lung cancers for assessing treatment response, monitoring treatment and predicting prognosis. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2018. [DOI: 10.1016/j.ejrnm.2017.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
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Kang HJ, Kim SH, Bae JS, Jeon SK, Han JK. Can quantitative iodine parameters on DECT replace perfusion CT parameters in colorectal cancers? Eur Radiol 2018; 28:4775-4782. [PMID: 29789907 DOI: 10.1007/s00330-018-5502-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 04/18/2018] [Indexed: 01/29/2023]
Abstract
OBJECTIVES To determine the correlation between iodine concentrations derived from dual-energy CT (DECT) and perfusion CT (PCT) parameters in patients with pathologically proven colorectal cancers (CRC) and to evaluate their reproducibility and respective radiation exposures. METHODS Institutional review board approval and written informed consents were obtained for this study. Forty-one patients with CRCs who underwent same-day DECT and PCT were prospectively enrolled. Three radiologists independently analyzed the iodine concentration of the tumors and iodine ratios [ratio of lesion to aorta (IRa) or to infrarenal IVC (IRv)] from DECT as well as blood flow (BF), blood volume (BV), permeability (PMB), and mean transit time (MTT) from PCT. Pearson R and linear correlation, paired t-test, and intraclass correlation coefficients (ICCs) were used. RESULTS Significant correlations were found between iodine parameters from DECT and PCT parameters: iodine concentration of tumors and BV (r = 0.32, p = 0.04), PMB (r = 0.34, p = 0.03), and MTT (r = -0.38, p = 0.02); iodine ratio (IRa) and MTT (r = -0.32, p = 0.04); iodine ratio (IRv) and BF (r = 0.32, p = 0.04) and PMB (r = 0.44, p = <0.01). DECT showed better intra- and interobserver agreements (ICC = 0.98, 0.90 in iodine concentration; 0.98, 0.91 in IRa; and 0.91, 0.93 in IRv, respectively) than PCT (ICC = 0.90, 0.78 in BF; 0.82, 0.76 in BV; 0.75, 0.75 in PMB; 0.64, 0.79 in MTT, respectively). As for radiation dosage, CTDIvol and DLP in DECT (10.48 ± 1.84 mGy and 519.7 ± 116.7 mGy·cm) were significantly lower than those of PCT (75.76 mGy and 911 mGy·cm) (p < 0.01). CONCLUSION Iodine parameters from DECT are significantly correlated with PCT parameters, but have higher intra- and interobserver agreements and lower radiation exposure. KEY POINTS • Quantitative iodine concentrations from DECT are significantly correlated with perfusion CT parameters. • Intra- and interobserver agreements of DECT are better than those of perfusion CT. • Effective radiation doses of DECT are significantly lower than those of perfusion CT. • DECT can be used as an alternative to perfusion CT with lower radiation doses.
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Affiliation(s)
- Hyo-Jin Kang
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Se Hyung Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
| | - Jae Seok Bae
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Sun Kyung Jeon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
- Department of Radiology, Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
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Di N, Cheng W, Jiang X, Liu X, Zhou J, Xie Q, Chu Z, Chen H, Wang B. Can dynamic contrast-enhanced MRI evaluate VEGF expression in brain glioma? An MRI-guided stereotactic biopsy study. J Neuroradiol 2018; 46:186-192. [PMID: 29752976 DOI: 10.1016/j.neurad.2018.04.008] [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: 11/01/2017] [Revised: 02/16/2018] [Accepted: 04/21/2018] [Indexed: 12/18/2022]
Abstract
PURPOSE To investigate whether pharmacokinetic parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can be used to evaluate vascular endothelial growth factor (VEGF) expression in brain glioma based on a point-to-point basis. MATERIALS AND METHODS Forty-seven patients with treatment-naïve glioma received preoperative DCE-MRI before stereotactic biopsy. We histologically quantified VEGF from section of stereotactic biopsies, and co-registered biopsy locations with localized measurements of DCE-MRI parameters including volume transfer coefficient (Ktrans), reverse reflux rate constant (Kep), extracellular extravascular volume fraction (Ve) and blood plasma volume (Vp). The correlations between DCE-MRI parameters (Ktrans, Kep, Ve and Vp) and VEGF were determined using Spearman correlation coefficient. P≤.05 was considered statistically significant. RESULTS Seventy-nine biopsy samples were obtained and graded into 45 high-grade gliomas (HGGs) and 34 low-grade gliomas (LGGs). Ktrans showed a significant positive correlation with VEGF expression in HGGs group (ρ=0.505, P<0.001) and in combined group (LGGs+HGGs) (ρ=0.549, P<0.001), but not in LGGs group (P>0.05). Kep, Ve or Vp was not correlated with VEGF even though a positive trend showed (P>0.05). CONCLUSIONS DCE-MRI is a useful, non-invasive imaging technique for quantitative evaluation of VEGF, and its parameter Ktrans other than Kep, Ve or Vp may be used as a surrogate for VEGF expression in brain gliomas.
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Affiliation(s)
- Ningning Di
- Department of Radiology, Binzhou Medical University Hospital, 661, Huanghe road, 256600 Binzhou, China; Department of Radiology, Huashan Hospital Fudan University, 12, Wulumuqi road Middle, 200040 Shanghai, China.
| | - Wenna Cheng
- Department of Pharmacy, Binzhou Medical University Hospital, 661, Huanghe road, 256600 Binzhou, China.
| | - Xingyue Jiang
- Department of Radiology, Binzhou Medical University Hospital, 661, Huanghe road, 256600 Binzhou, China.
| | - Xinjiang Liu
- Department of Radiology, Binzhou Medical University Hospital, 661, Huanghe road, 256600 Binzhou, China.
| | - Jinliang Zhou
- Department of Radiology, Binzhou Medical University Hospital, 661, Huanghe road, 256600 Binzhou, China.
| | - Qian Xie
- Department of Radiology, Huashan Hospital Fudan University, 12, Wulumuqi road Middle, 200040 Shanghai, China.
| | - Zhihui Chu
- Department of Radiology, Binzhou Medical University Hospital, 661, Huanghe road, 256600 Binzhou, China.
| | - Huacheng Chen
- Department of Radiology, Weifang Traditional Chinese Hospital, 1055, Weizhou road, 256600 Weifang, China.
| | - Bin Wang
- Department of Medical Imaging and Nuclear, Binzhou Medical University, 346, Guanhai road, 264000 Yantai, China.
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García-Figueiras R, Baleato-González S, Padhani AR, Luna-Alcalá A, Marhuenda A, Vilanova JC, Osorio-Vázquez I, Martínez-de-Alegría A, Gómez-Caamaño A. Advanced Imaging Techniques in Evaluation of Colorectal Cancer. Radiographics 2018; 38:740-765. [PMID: 29676964 DOI: 10.1148/rg.2018170044] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Imaging techniques are clinical decision-making tools in the evaluation of patients with colorectal cancer (CRC). The aim of this article is to discuss the potential of recent advances in imaging for diagnosis, prognosis, therapy planning, and assessment of response to treatment of CRC. Recent developments and new clinical applications of conventional imaging techniques such as virtual colonoscopy, dual-energy spectral computed tomography, elastography, advanced computing techniques (including volumetric rendering techniques and machine learning), magnetic resonance (MR) imaging-based magnetization transfer, and new liver imaging techniques, which may offer additional clinical information in patients with CRC, are summarized. In addition, the clinical value of functional and molecular imaging techniques such as diffusion-weighted MR imaging, dynamic contrast material-enhanced imaging, blood oxygen level-dependent imaging, lymphography with contrast agents, positron emission tomography with different radiotracers, and MR spectroscopy is reviewed, and the advantages and disadvantages of these modalities are evaluated. Finally, the future role of imaging-based analysis of tumor heterogeneity and multiparametric imaging, the development of radiomics and radiogenomics, and future challenges for imaging of patients with CRC are discussed. Online supplemental material is available for this article. ©RSNA, 2018.
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Affiliation(s)
- Roberto García-Figueiras
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Sandra Baleato-González
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Anwar R Padhani
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Antonio Luna-Alcalá
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Ana Marhuenda
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Joan C Vilanova
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Iria Osorio-Vázquez
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Anxo Martínez-de-Alegría
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
| | - Antonio Gómez-Caamaño
- From the Departments of Radiology (R.G.F., S.B.G., I.O.V., A.M.d.A.) and Radiation Oncology (A.G.C.), Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain; Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England (A.R.P.); Health Time, Jaén, Spain (A.L.A.); Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.A.); Department of Radiology, IVO (Instituto Valenciano de Oncología), Valencia, Spain (A.M.); and Department of Radiology, Clínica Girona and IDI, Girona, Spain (J.C.V.)
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Usefulness of Volume Perfusion Computed Tomography in Differentiating Histologic Subtypes of Thymic Epithelial Tumors. J Comput Assist Tomogr 2018; 42:594-600. [DOI: 10.1097/rct.0000000000000718] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Popovic P, Leban A, Kregar K, Garbajs M, Dezman R, Bunc M. Computed Tomographic Perfusion Imaging for the Prediction of Response and Survival to Transarterial Chemoembolization of Hepatocellular Carcinoma. Radiol Oncol 2017. [PMID: 29520201 PMCID: PMC5839077 DOI: 10.1515/raon-2017-0052] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Background The purpose of this retrospective cohort study was to evaluate the clinical value of computed tomographic perfusion imaging (CTPI) parameters in predicting the response to treatment and overall survival in patients with hepatocellular carcinoma (HCC) treated with drug-eluting beads transarterial chemoembolization (DEBTACE). Patients and methods Between December 2010 and January 2013 eighteen patients (17 men, 1 woman; mean age 69 ± 5.8 years) with intermediate stage HCC underwent CTPI of the liver prior to treatment with DEBTACE. Treatment response was evaluated on follow-up imaging according to modified Response Evaluation Criteria in Solid Tumors. Pre-treatment CTPI parameters were compared between patients with complete response and partial response with a Student t-test. We compared survival times with Kaplan-Meier method. Results CTPI parameters of patients with complete response and others did not show statistical significant difference. The mean survival time was 25.4 ± 3.2 months (95%; CI: 18.7-32.1). Survival was statistically significantly longer in patients with hepatic blood flow (BF) lower than 50.44 ml/100 ml/min (p = 0.033), hepatic blood volume (BV) lower than 13.32 ml/100 ml (p = 0.028) and time to peak (TTP) longer than 19.035 s (p = 0.015). Conclusions CTPI enables prediction of survival in patients with intermediate stage HCC, treated with DEBTACE based on the pre-treatment values of BF, BV and TTP perfusion parameters. CT perfusion imaging can’t be used to predict treatment response to DEBTACE.
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Affiliation(s)
- Peter Popovic
- Clinical Institute of Radiology, University Medical Centre, Ljubljana, Slovenia
| | - Ana Leban
- General Hospital Dr. Franca Derganca, Šempeter pri Gorici, Slovenia
| | | | - Manca Garbajs
- Clinical Institute of Radiology, University Medical Centre, Ljubljana, Slovenia
| | - Rok Dezman
- Clinical Institute of Radiology, University Medical Centre, Ljubljana, Slovenia
| | - Matjaz Bunc
- Department of Cardiology, University Medical Centre, Ljubljana, Slovenia
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Multi-detector CT: Liver protocol and recent developments. Eur J Radiol 2017; 97:101-109. [PMID: 29153359 DOI: 10.1016/j.ejrad.2017.10.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 10/18/2017] [Accepted: 10/26/2017] [Indexed: 02/07/2023]
Abstract
Multi-detector computed tomography is today the workhorse in the evaluation of the vast majority of patients with known or suspected liver disease. Reasons for that include widespread availability, robustness and repeatability of the technique, time-efficient image acquisitions of large body volumes, high temporal and spatial resolution as well as multiple post-processing capabilities. However, as the technique employs ionizing radiation and intravenous iodine-based contrast media, the associated potential risks have to be taken into account. In this review article, liver protocols in clinical practice are discussed with emphasis on optimisation strategies. Furthermore, recent developments such as perfusion CT and dual-energy CT and their applications are presented.
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Kruk-Bachonko J, Krupski W, Czechowski M, Kurys-Denis E, Mądro P, Sierocińska-Sawa J, Dąbrowski A, Wallner G, Skoczylas T. Perfusion CT - A novel quantitative and qualitative imaging biomarker in gastric cancer. Eur J Radiol 2017; 95:399-408. [PMID: 28987697 DOI: 10.1016/j.ejrad.2017.08.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 06/22/2017] [Accepted: 08/28/2017] [Indexed: 01/19/2023]
Abstract
OBJECTIVES The aim of this research was to examine whether Perfusion Computed Tomography (P-CT) can qualitatively and quantitatively help detect gastric cancer neoangiogenesis in vivo as well as treatment response evaluation. We attempted to explore which P-CT parameters are best used in neoangiogenesis and neoadjuvant therapy for most effective evaluation. We also tried to recognize a positive prediction value of P-CT in early responders and non-responders patients identification. MATERIALS AND METHODS Twenty-four patients with positive biopsy results and/or clinically proven gastric cancer were enrolled in the P-CT exam. Patients were qualified for systemic treatment (16 patients received chemotherapy and 8 patients received radiochemotherapy). The baseline Perfusion-CT exam and after neoadjuvant treatment Perfusion-CT exam were conducted using a 64-row GE tomograph based on a deconvolution model in first-pass protocol perfusion. The P-CT examined the following parameters: Blood Flow (BF), Blood Volume (BV), Mean Transit Time (MTT) and Permeability Surface (PS). Positive clinical response to neoadjuvant treatment (CHT and RCT) was defined as tumor size reduction 25% or more. RESULTS Tumor dimension reduction after neoadjuvant therapy was significantly correlated with the BF and the PS. Neoadjuvant therapy was more effective for patients with higher output BF and PS values. We did not register a significant relationship between BV and MTT parameters and tumor dimension reduction. Patients with a positive treatment response showed a decrease in BF, BV and PS perfusion parameters with an increase in MTT. CONCLUSIONS P-CT examination allows a noninvasive neoangiogenesis assessment in vivo, leading to early identification of responding and non-responding patients. As a standard procedure, a full evaluation of treatment response should include a P-CT exam assessing neoangiogenesis.
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Affiliation(s)
- Joanna Kruk-Bachonko
- Department of Radiology, Medical University of Lublin, Staszica 16, Lublin 20-081, Poland.
| | - Witold Krupski
- Department of Radiology, Medical University of Lublin, Staszica 16, Lublin 20-081, Poland.
| | - Michał Czechowski
- Department of Radiology, Medical University of Lublin, Staszica 16, Lublin 20-081, Poland.
| | - Ewa Kurys-Denis
- Department of Radiology, Medical University of Lublin, Staszica 16, Lublin 20-081, Poland.
| | - Przemysław Mądro
- Second Department of General & Gastrointestinal Surgery & Surgical Oncology of the Digestive Tract, Medical University of Lublin, Staszica 16, Lublin 20-081, Poland.
| | | | - Andrzej Dąbrowski
- Second Department of General & Gastrointestinal Surgery & Surgical Oncology of the Digestive Tract, Medical University of Lublin, Staszica 16, Lublin 20-081, Poland.
| | - Grzegorz Wallner
- Second Department of General & Gastrointestinal Surgery & Surgical Oncology of the Digestive Tract, Medical University of Lublin, Staszica 16, Lublin 20-081, Poland.
| | - Tomasz Skoczylas
- Second Department of General & Gastrointestinal Surgery & Surgical Oncology of the Digestive Tract, Medical University of Lublin, Staszica 16, Lublin 20-081, Poland.
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Dynamic perfusion CT parameters and delayed contrast washout CT in characterization of adrenal tumors: A comparative study. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2017. [DOI: 10.1016/j.ejrnm.2017.03.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Topcuoğlu OM, Karçaaltıncaba M, Akata D, Özmen MN. Reproducibility and variability of very low dose hepatic perfusion CT in metastatic liver disease. Diagn Interv Radiol 2017; 22:495-500. [PMID: 27759566 DOI: 10.5152/dir.2016.16612] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE We aimed to determine the intra- and interobserver agreement on the software analysis of very low dose hepatic perfusion CT (pCT). METHODS A total of 53 pCT examinations were obtained from 21 patients (16 men, 5 women; mean age, 60.4 years) with proven liver metastasis from various primary cancers. The pCT examinations were analyzed by two readers independently and perfusion parameters were noted for whole liver, whole metastasis, metastasis wall, and normal-looking liver (liver tissue without metastasis) in regions of interest (ROIs). Readers repeated the analysis after an interval of one month. Intra- and interobserver agreements were assessed with intraclass correlation coefficients (ICC) and Bland-Altman statistics. RESULTS The mean ICCs of all ROIs between readers were 0.91, 0.93, 0.86, 0.45, 0.53, and 0.66 for blood flow (BF), blood volume (BV), permeability, arterial liver perfusion (ALP), portal venous perfusion (PVP) and hepatic perfusion index (HPI), respectively. The mean ICCs of all ROIs between readings were 0.86, 0.91, 0.81, 0.53, 0.56, and 0.71 for BF, BV, permeability, ALP, PVP, and HPI, respectively. There was greater agreement on the parameters measured for the whole metastasis than on the parameters measured for the metastasis wall. The effective dose of all perfusion CT studies was 2.9 mSv. CONCLUSION There is greater intra- and interobserver agreement for BF and BV than for permeability, ALP, PVP, and HPI at very low dose hepatic pCT. Permeability, ALP, PVP, and HPI parameters cannot be used in clinical practice for hepatic pCT with an effective dose of 2.9 mSv.
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Lee HY, Kim N, Goo JM, Chie EK, Song HJ. Perfusion parameters as potential imaging biomarkers for the early prediction of radiotherapy response in a rat tumor model. Diagn Interv Radiol 2017; 22:231-40. [PMID: 27023149 DOI: 10.5152/dir.2015.15171] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE We aimed to compare various tumor-related radiologic morphometric changes and computed tomography (CT) perfusion parameters before and after treatment, and to determine the optimal imaging assessment technique for the prediction of early response in a rat tumor model treated with radiotherapy. METHODS Among paired tumors of FN13762 murine breast cancer cells implanted bilaterally in the necks of eight Fischer rats, tumors on the right side were treated with a single 20 Gy dose of radiotherapy. Perfusion CT studies were performed on day 0 before radiotherapy, and on days 1 and 5 after radiotherapy. Variables based on the size, including the longest diameter, tumor area, and volume, were measured. Quantitative perfusion analysis was performed for the whole tumor volume and permeabilities and blood volumes (BVs) were obtained. The area under the curve (AUC) difference in the histograms of perfusion parameters and texture analyses of uniformity and entropy were quantified. Apoptotic cell density was measured on pathology specimens immediately after perfusion imaging on day 5. RESULTS On day 1 after radiotherapy, differences in size between the irradiated and nonirradiated tumors were not significant. In terms of percent changes in the uniformity of permeabilities between tumors before irradiation and on day 1 after radiotherapy, the changes were significantly higher in the irradiated tumors than in the nonirradiated tumors (0.085 [-0.417, 0.331] vs. -0.131 [-0.536, 0.261], respectively; P = 0.042). The differences in AUCs of the histogram of voxel-by-voxel vascular permeability and BV in tumors between day 0 and day 1 were significantly higher in treated tumors compared with the control group (permeability, 21.4 [-2.2, 37.5] vs. 9.5 [-8.9, 33.8], respectively, P = 0.030; BV, 52.9 [-6186.0, 419.2] vs. 11.9 [-198.3, 346.7], respectively, P = 0.049). Apoptotic cell density showed a significantly positive correlation with the AUC difference of BV, the percent change of uniformity in permeability and BV (r=0.202, r=0.644, and r=0.706, respectively). CONCLUSION By enabling earlier tumor response prediction than morphometric evaluation, the histogram analysis of CT perfusion parameters appears to have a potential in providing prognostic predictive information in an irradiated rat model.
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Affiliation(s)
- Ho Yun Lee
- Departments of Radiology and Center for Imaging Science Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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Chen XH, Ren K, Liang P, Chai YR, Chen KS, Gao JB. Spectral computed tomography in advanced gastric cancer: Can iodine concentration non-invasively assess angiogenesis? World J Gastroenterol 2017; 23:1666-1675. [PMID: 28321168 PMCID: PMC5340819 DOI: 10.3748/wjg.v23.i9.1666] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 01/19/2017] [Accepted: 02/08/2017] [Indexed: 02/07/2023] Open
Abstract
AIM To investigate the correlation of iodine concentration (IC) generated by spectral computed tomography (CT) with micro-vessel density (MVD) and vascular endothelial growth factor (VEGF) expression in patients with advanced gastric carcinoma (GC).
METHODS Thirty-four advanced GC patients underwent abdominal enhanced CT in the gemstone spectral imaging mode. The IC of the primary lesion in the arterial phase (AP) and venous phase (VP) were measured, and were then normalized against that in the aorta to provide the normalized IC (nIC). MVD and VEGF were detected by immunohistochemical assays, using CD34 and VEGF-A antibodies, respectively. Correlations of nIC with MVD, VEGF, and clinical-pathological features were analyzed.
RESULTS Both nICs correlated linearly with MVD and were higher in the primary lesion site than in the normal control site, but were not correlated with VEGF expression. After stratification by clinical-pathological subtypes, nIC-AP showed a statistically significant correlation with MVD, particularly in the group with tumors at stage T4, without nodular involvement, of a mixed Lauren type, where the tumor was located at the antrum site, and occurred in female individuals. nIC-VP showed a positive correlation with MVD in the group with the tumor at stage T4 and above, had nodular involvement, was poorly differentiated, was located at the pylorus site, of a mixed and diffused Lauren subtype, and occurred in male individuals. nIC-AP and nIC-VP showed significant differences in terms of histological differentiation and Lauren subtype.
CONCLUSION The IC detected by spectral CT correlated with the MVD. nIC-AP and nIC-VP can reflect angiogenesis in different pathological subgroups of advanced GC.
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The Application of Iodine Quantitative Information Obtained by Dual-Source Dual-Energy Computed Tomography on Chemoradiotherapy Effect Monitoring for Cervical Cancer. J Comput Assist Tomogr 2017; 41:737-745. [DOI: 10.1097/rct.0000000000000603] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Perfusion imaging of brain gliomas using arterial spin labeling: correlation with histopathological vascular density in MRI-guided biopsies. Neuroradiology 2016; 59:51-59. [DOI: 10.1007/s00234-016-1756-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Accepted: 10/17/2016] [Indexed: 11/25/2022]
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Bogowicz M, Riesterer O, Bundschuh RA, Veit-Haibach P, Hüllner M, Studer G, Stieb S, Glatz S, Pruschy M, Guckenberger M, Tanadini-Lang S. Stability of radiomic features in CT perfusion maps. Phys Med Biol 2016; 61:8736-8749. [PMID: 27893446 DOI: 10.1088/1361-6560/61/24/8736] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This study aimed to identify a set of stable radiomic parameters in CT perfusion (CTP) maps with respect to CTP calculation factors and image discretization, as an input for future prognostic models for local tumor response to chemo-radiotherapy. Pre-treatment CTP images of eleven patients with oropharyngeal carcinoma and eleven patients with non-small cell lung cancer (NSCLC) were analyzed. 315 radiomic parameters were studied per perfusion map (blood volume, blood flow and mean transit time). Radiomics robustness was investigated regarding the potentially standardizable (image discretization method, Hounsfield unit (HU) threshold, voxel size and temporal resolution) and non-standardizable (artery contouring and noise threshold) perfusion calculation factors using the intraclass correlation (ICC). To gain added value for our model radiomic parameters correlated with tumor volume, a well-known predictive factor for local tumor response to chemo-radiotherapy, were excluded from the analysis. The remaining stable radiomic parameters were grouped according to inter-parameter Spearman correlations and for each group the parameter with the highest ICC was included in the final set. The acceptance level was 0.9 and 0.7 for the ICC and correlation, respectively. The image discretization method using fixed number of bins or fixed intervals gave a similar number of stable radiomic parameters (around 40%). The potentially standardizable factors introduced more variability into radiomic parameters than the non-standardizable ones with 56-98% and 43-58% instability rates, respectively. The highest variability was observed for voxel size (instability rate >97% for both patient cohorts). Without standardization of CTP calculation factors none of the studied radiomic parameters were stable. After standardization with respect to non-standardizable factors ten radiomic parameters were stable for both patient cohorts after correction for inter-parameter correlations. Voxel size, image discretization, HU threshold and temporal resolution have to be standardized to build a reliable predictive model based on CTP radiomics analysis.
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Affiliation(s)
- M Bogowicz
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland
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Hayano K, Kulkarni NM, Duda DG, Heist RS, Sahani DV. Exploration of Imaging Biomarkers for Predicting Survival of Patients With Advanced Non-Small Cell Lung Cancer Treated With Antiangiogenic Chemotherapy. AJR Am J Roentgenol 2016; 206:987-993. [PMID: 26934729 DOI: 10.2214/ajr.15.15528] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2025]
Abstract
OBJECTIVE The objective of this study was to compare imaging biomarkers, including (18)F-FDG PET, CT perfusion (CTP), and CT texture analysis (CTTA), in predicting the survival of patients with advanced non-small cell lung cancer (NSCLC) treated with antiangiogenic chemotherapy. SUBJECTS AND METHODS A total of 35 patients (17 men and 18 women; median age, 64.0 years) with advanced NSCLC treated with antiangiogenic chemotherapy were evaluated. CTP and FDG PET were performed before the therapy, and blood flow, blood volume, mean transit time, and the maximum standardized uptake value (SUV max) of the tumor were measured. Texture parameters, including the mean value of pixels with positive values (MPP) and entropy (a measure of irregularity), were also measured on pretherapeutic unenhanced CT images, using CTTA software with a medium texture scale filtration. The best percent change in the tumor burden was also measured. These image-derived tumor parameters were then compared with progression-free survival (PFS) and overall survival (OS). RESULTS In univariate Cox regression analysis, MPP and entropy were significantly correlated with PFS (p = 0.01 and p = 0.01, respectively), whereas SUV max, MPP, and entropy were significantly correlated with OS (p = 0.03, p = 0.04, and p = 0.0008, respectively). In Kaplan-Meier analysis, high MPP and low entropy were significantly associated with favorable PFS (p < 0.0001 and p = 0.03, respectively) and OS (p = 0.0009 and p = 0.005, respectively), and low SUV max was significantly associated with favorable OS (p = 0.01). CTP parameters and the best change in the tumor burden had no associations with survival. In multivariate analysis, only entropy was identified as an independent prognostic factor for OS (p = 0.02). CONCLUSION CTTA is the optimal imaging biomarker for predicting the survival of patients with advanced NSCLC treated with antiangiogenic chemotherapy.
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Affiliation(s)
- Koichi Hayano
- 1 Division of Abdominal Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114
| | - Naveen M Kulkarni
- 1 Division of Abdominal Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114
| | - Dan G Duda
- 2 Steele Laboratory, Massachusetts General Hospital, Boston, MA
| | - Rebecca Suk Heist
- 3 Department of Thoracic Oncology, Massachusetts General Hospital Cancer Center, Boston, MA
| | - Dushyant V Sahani
- 1 Division of Abdominal Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114
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Cidon EU, Alonso P, Masters B. Markers of Response to Antiangiogenic Therapies in Colorectal Cancer: Where Are We Now and What Should Be Next? Clin Med Insights Oncol 2016; 10:41-55. [PMID: 27147901 PMCID: PMC4849423 DOI: 10.4137/cmo.s34542] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 03/15/2016] [Accepted: 03/13/2016] [Indexed: 12/17/2022] Open
Abstract
Despite advances in the treatment of colorectal cancer (CRC), it remains the second most common cause of cancer-related death in the Western world. Angiogenesis is a complex process that involves the formation of new blood vessels from preexisting vessels. It is essential for promoting cancer survival, growth, and dissemination. The inhibition of angiogenesis has been shown to prevent tumor progression experimentally, and several chemotherapeutic targets of tumor angiogenesis have been identified. These include anti-vascular endothelial growth factor (VEGF) treatments, such as bevacizumab (a VEGF-specific binding antibody) and anti-VEGF receptor tyrosine kinase inhibitors, although antiangiogenic therapy has been shown to be effective in the treatment of several cancers, including CRC. However, it is also associated with its own side effects and financial costs. Therefore, the identification of biomarkers that are able to identify patients who are more likely to benefit from antiangiogenic treatment is very important. This article intends to be a concise summary of the potential biomarkers that can predict or prognosticate the benefit of antiangiogenic treatments in CRC, and also what we can expect in the near future.
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Affiliation(s)
- E. Una Cidon
- Department of Medical Oncology, Royal Bournemouth Hospital NHS Foundation Trust, Bournemouth, UK
| | - P. Alonso
- Department of Clinical Oncology, Clinical University Hospital, Valladolid, Spain
| | - B. Masters
- Department of Oncology, Nottingham City Hospital, Nottingham, UK
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Wang J, Tang Z, Wang S, Zeng W, Qian W, Wu L, Wang W, Luo J. Differential diagnostic value of computed tomography perfusion combined with vascular endothelial growth factor expression in head and neck lesions. Oncol Lett 2016; 11:3342-3348. [PMID: 27123114 PMCID: PMC4840932 DOI: 10.3892/ol.2016.4413] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Accepted: 03/08/2016] [Indexed: 12/22/2022] Open
Abstract
There are numerous types of head and neck lesions (HNLs), and conventional computed tomography (CT) has low specificity and sensitivity in the definitive and differential diagnosis of HNLs. The aim of the present study was to evaluate the value of perfusion CT (CTP) combined with vascular endothelial growth factor (VEGF) expression in the differentiation between malignant and benign HNLs. In total, 41 HNLs, which were pathologically confirmed, underwent CTP and VEGF expression analysis. All lesions were divided into three groups: Group A, benign hypovascular lesions; Group B, benign hypervascular lesions; and Group C, malignant lesions. Time density curve (TDC) and CTP parameters [maximum intensity projection (MIP), blood volume (BV), blood flow (BF), mean transit time and capillary permeability] were analyzed. The association between perfusion measurements and VEGF was assessed using Pearson's correlation. TDCs were classified into three types, and type I was more frequently identified in benign tumors (Groups A and B) compared with malignant tumors (Group C) (P=0.003). Malignant tumors primarily had a TDC of type II and III. MIP, BF and BV were all significantly higher in Groups B and C compared to Group A (P<0.01). VEGF expression of malignant tumors was significantly higher than benign tumors (P=0.007). No correlation was identified between VEGF and any CTP parameter. The present findings suggest that CTP combined with VEGF may differentiate between malignant and benign HNLs, and between benign hypovascular and hypervascular lesions.
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Affiliation(s)
- Jie Wang
- Department of Radiology, Eye Ear Nose and Throat Hospital, Fudan University, Shanghai 200031, P.R. China
| | - Zuohua Tang
- Department of Radiology, Eye Ear Nose and Throat Hospital, Fudan University, Shanghai 200031, P.R. China
| | - Shuyi Wang
- Department of Pathology, Eye Ear Nose and Throat Hospital, Fudan University, Shanghai 200031, P.R. China
| | - Wenjiao Zeng
- Department of Pathology, Shanghai Medical School of Fudan University, Shanghai 200032, P.R. China
| | - Wen Qian
- Department of Radiology, Eye Ear Nose and Throat Hospital, Fudan University, Shanghai 200031, P.R. China
| | - Lingjie Wu
- Department of Radiology, Eye Ear Nose and Throat Hospital, Fudan University, Shanghai 200031, P.R. China
| | - Wenzhong Wang
- Department of Radiology, Eye Ear Nose and Throat Hospital, Fudan University, Shanghai 200031, P.R. China
| | - Jianfeng Luo
- Department of Health Statistics and Social Medicine, School of Public Health, Fudan University, Shanghai 200032, P.R. China
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Gordic S, Puippe GD, Krauss B, Klotz E, Desbiolles L, Lesurtel M, Müllhaupt B, Pfammatter T, Alkadhi H. Correlation between Dual-Energy and Perfusion CT in Patients with Hepatocellular Carcinoma. Radiology 2016; 280:78-87. [PMID: 26824712 DOI: 10.1148/radiol.2015151560] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Purpose To develop a dual-energy contrast media-enhanced computed tomographic (CT) protocol by using time-attenuation curves from previously acquired perfusion CT data and to evaluate prospectively the relationship between iodine enhancement metrics at dual-energy CT and perfusion CT parameters in patients with hepatocellular carcinoma (HCC). Materials and Methods Institutional review board and local ethics committee approval and written informed consent were obtained. The retrospective part of this study included the development of a dual-energy CT contrast-enhanced protocol to evaluate peak arterial enhancement of HCC in the liver on the basis of time-attenuation curves from previously acquired perfusion CT data in 20 patients. The prospective part of the study consisted of an intraindividual comparison of dual-energy CT and perfusion CT data in another 20 consecutive patients with HCC. Iodine density and iodine ratio (iodine attenuation of the lesion divided by iodine attenuation in the aorta) from dual-energy CT and arterial perfusion (AP), portal venous perfusion, and total perfusion (TP) from perfusion CT were compared. Pearson R and linear correlation coefficients were calculated for AP and iodine density, AP and iodine ratio, TP and iodine density, and TP and iodine ratio. Results The dual-energy CT protocol consisted of bolus tracking in the abdominal aorta (threshold, 150 HU; scan delay, 9 seconds). The strongest intraindividual correlations in HCCs were found between iodine density and AP (r = 0.75, P = .0001). Moderate correlations were found between iodine ratio and AP (r = 0.50, P = .023) and between iodine density and TP (r = 0.56, P = .011). No further significant correlations were found. The volume CT dose index (11.4 mGy) and dose-length product (228.0 mGy · cm) of dual-energy CT was lower than those of the arterial phase of perfusion CT (36.1 mGy and 682.3 mGy · cm, respectively). Conclusion A contrast-enhanced dual-energy CT protocol developed by using time-attenuation curves from previously acquired perfusion CT data sets in patients with HCC could show good correlation between iodine density from dual-energy CT with AP from perfusion CT. (©) RSNA, 2016.
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Affiliation(s)
- Sonja Gordic
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
| | - Gilbert D Puippe
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
| | - Bernhard Krauss
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
| | - Ernst Klotz
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
| | - Lotus Desbiolles
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
| | - Mickaël Lesurtel
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
| | - Beat Müllhaupt
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
| | - Thomas Pfammatter
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
| | - Hatem Alkadhi
- From the Institute of Diagnostic and Interventional Radiology (S.G., G.P., T.P., H.A.), Department of Surgery, Swiss Hepato-Pancreatico-Biliary and Transplantation Center (M.L.), and Department of Hepatology and Gastroenterology (B.M.), University Hospital Zurich, University of Zurich, Raemistrasse 100, Zurich 8091, Switzerland; Computed Tomography Division, Siemens Healthcare, Forchheim, Germany (B.K., E.K.); and Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, St. Gallen, Switzerland (L.D.)
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50
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Xu Y, Sun H, Song A, Yang Q, Lu X, Wang W. Predictive Significance of Tumor Grade Using 256-Slice CT Whole-Tumor Perfusion Imaging in Colorectal Adenocarcinoma. Acad Radiol 2015; 22:1529-35. [PMID: 26421473 DOI: 10.1016/j.acra.2015.08.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 08/27/2015] [Accepted: 08/31/2015] [Indexed: 12/14/2022]
Abstract
RATIONALE AND OBJECTIVES The preoperative assessment of tumor grade has important clinical implications for the treatment and prognosis of patients with colorectal adenocarcinomas. The purpose of this study is to investigate the predictive significance of colorectal adenocarcinoma grade using 256-slice whole-tumor computed tomography (CT) perfusion. MATERIALS AND METHODS Fifty-three patients with proven colorectal adenocarcinomas were enrolled. All of them underwent 256-slice whole-tumor CT perfusion. They were divided into two different subgroups according to postoperative pathological results: low grade and high grade. The Kruskal-Wallis test or one-way analysis of variance was used for comparison of CT perfusion parameters between different tumor grades. Multivariant correlation between pathologic tumor stage, histologic tumor differentiation, and whole-tumor CT perfusion parameters was evaluated by Spearman rank correlation coefficient. According to receiver operating characteristic (ROC) curves, perfusion parameters including blood flow (BF), peak enhancement index (PEI), blood volume (BV), and time to peak (TTP) of 53 patients were analyzed, and the sensitivity, specificity, and accuracy of these parameters in predicting tumor grade were calculated. RESULTS There were significant differences in BF and TTP between low-grade and high-grade tumors. According to the ROC curve, BF and TTP were of diagnostic significance, with the area under the curve values of 0.828 and 0.736, respectively. The diagnostic threshold of BF was 32.12 mL/min/100 g and that of TTP was 18.10 seconds. CONCLUSIONS The CT perfusion parameters (BF, TTP) of first-pass 256-slice whole-tumor CT perfusion imaging can reflect tumor grade in colorectal adenocarcinoma.
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