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Dynamic contrast-enhanced magnetic resonance imaging with Gd-EOB-DTPA for the evaluation of liver fibrosis in chronic hepatitis patients.

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Title: Dynamic contrast-enhanced magnetic resonance imaging with Gd-EOB-DTPA for the evaluation of liver fibrosis in chronic hepatitis patients.
Authors: Chen BB (AUTHOR), Hsu CY (AUTHOR), Yu CW (AUTHOR), Wei SY (AUTHOR), Kao JH (AUTHOR), Lee HS (AUTHOR), Shih TT (AUTHOR), Chen, Bang-Bin1 (AUTHOR), Hsu, Chao-Yu (AUTHOR), Yu, Chih-Wei (AUTHOR), Wei, Shwu-Yuan (AUTHOR), Kao, Jia-Horng (AUTHOR), Lee, Hsuan-Shu (AUTHOR), Shih, Tiffany Ting-Fang (AUTHOR)
Source: European Radiology. Jan2012, Vol. 22 Issue 1, p171-180. 10p.
Abstract: Objectives: To develop a non-invasive MRI method for evaluation of liver fibrosis, with histological analysis as the reference standard.Methods: The study protocol was approved by the Institutional Review Board for Human Studies of our hospital, and written informed consent was obtained from all subjects. Seventy-nine subjects who received dynamic contrast-enhanced MRI (DCE-MRI) with Gd-EOB-DTPA were divided into three subgroups according to Metavir score: no fibrosis (n = 30), mild fibrosis (n = 34), and advanced fibrosis (n = 15). The DCE-MRI parameters were measured using two models: (1) dual-input single-compartment model for arterial blood flow (F (a)), portal venous blood flow, total liver blood flow, arterial fraction (ART), distribution volume, and mean transit time; and (2) curve analysis model for Peak, Slope, and AUC. Statistical analysis was performed with Student's t-test and the nonparametric Kruskal-Wallis test.Results: Slope and AUC were two best perfusion parameters to predict the severity of liver fibrosis (>F2 vs. ≦F2). Four significantly different variables were found between non-fibrotic versus mild-fibrotic subgroups: F (a), ART, Slope, and AUC; the best predictor for mild fibrosis was F (a) (AUROC:0.701).Conclusions: DCE-MRI with Gd-EOB-DTPA is a noninvasive imaging, by which multiple perfusion parameters can be measured to evaluate the severity of liver fibrosis. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Dynamic contrast-enhanced magnetic resonance imaging with Gd-EOB-DTPA for the evaluation of liver fibrosis in chronic hepatitis patients.
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  Data: <searchLink fieldCode="AR" term="%22Chen+BB%22">Chen BB</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hsu+CY%22">Hsu CY</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu+CW%22">Yu CW</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei+SY%22">Wei SY</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kao+JH%22">Kao JH</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee+HS%22">Lee HS</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shih+TT%22">Shih TT</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Bang-Bin%22">Chen, Bang-Bin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hsu%2C+Chao-Yu%22">Hsu, Chao-Yu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Chih-Wei%22">Yu, Chih-Wei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Shwu-Yuan%22">Wei, Shwu-Yuan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kao%2C+Jia-Horng%22">Kao, Jia-Horng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Hsuan-Shu%22">Lee, Hsuan-Shu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shih%2C+Tiffany+Ting-Fang%22">Shih, Tiffany Ting-Fang</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Jan2012, Vol. 22 Issue 1, p171-180. 10p.
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  Data: <bold>Objectives: </bold>To develop a non-invasive MRI method for evaluation of liver fibrosis, with histological analysis as the reference standard.<bold>Methods: </bold>The study protocol was approved by the Institutional Review Board for Human Studies of our hospital, and written informed consent was obtained from all subjects. Seventy-nine subjects who received dynamic contrast-enhanced MRI (DCE-MRI) with Gd-EOB-DTPA were divided into three subgroups according to Metavir score: no fibrosis (n = 30), mild fibrosis (n = 34), and advanced fibrosis (n = 15). The DCE-MRI parameters were measured using two models: (1) dual-input single-compartment model for arterial blood flow (F (a)), portal venous blood flow, total liver blood flow, arterial fraction (ART), distribution volume, and mean transit time; and (2) curve analysis model for Peak, Slope, and AUC. Statistical analysis was performed with Student's t-test and the nonparametric Kruskal-Wallis test.<bold>Results: </bold>Slope and AUC were two best perfusion parameters to predict the severity of liver fibrosis (>F2 vs. ≦F2). Four significantly different variables were found between non-fibrotic versus mild-fibrotic subgroups: F (a), ART, Slope, and AUC; the best predictor for mild fibrosis was F (a) (AUROC:0.701).<bold>Conclusions: </bold>DCE-MRI with Gd-EOB-DTPA is a noninvasive imaging, by which multiple perfusion parameters can be measured to evaluate the severity of liver fibrosis. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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