Magnetization-tagged MRI is a simple method for predicting liver fibrosis
Background/Aims:To assess the usefulness of magnetization-tagged magnetic resonance imaging (MRI) in quantifying cardiac-induced liver motion and deformation in order to predict liver fibrosis. Methods:This retrospective study included 85 patients who underwent liver MRI including magnetization-tagg...
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Korean Association for the Study of the Liver
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doaj-d39d94ed8a194957bac2476081c215622020-11-24T23:15:13ZengKorean Association for the Study of the LiverClinical and Molecular Hepatology2287-27282287-285X2016-03-0122114014510.3350/cmh.2016.22.1.1401281Magnetization-tagged MRI is a simple method for predicting liver fibrosisKyung-Eun Kim0Mi-Suk Park1Sohae Chung2Chansik An3Leon Axel4Rakhmonova Gulbahor Ergashovna5 Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea Center for Biomedical Imaging, Department of Radiology, New York University Langone Medical Center, New York, USA Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea Center for Biomedical Imaging, Department of Radiology, New York University Langone Medical Center, New York, USA Tachkent Medical Academy, Tachkent, UzbekistanBackground/Aims:To assess the usefulness of magnetization-tagged magnetic resonance imaging (MRI) in quantifying cardiac-induced liver motion and deformation in order to predict liver fibrosis. Methods:This retrospective study included 85 patients who underwent liver MRI including magnetization-tagged sequences from April 2010 to August 2010. Tagged images were acquired in three coronal and three sagittal planes encompassing both the liver and heart. A Gabor filter bank was used to measure the maximum value of displacement (MaxDisp) and the maximum and minimum values of principal strains (MaxP1 and MinP2, respectively). Patients were divided into three groups (no fibrosis, mild-to-moderate fibrosis, and significant fibrosis) based on their aspartate-aminotransferase-to-platelet ratio index (APRI) score. Group comparisons were made using ANOVA tests. Results:The patients were divided into three groups according to APRI scores: no fibrosis (≤0.5; n=41), moderate fibrosis (0.5–1.5; n=23), and significant fibrosis (>1.5; n=21). The values of MaxDisp were 2.9±0.9 (mean±SD), 2.3±0.7, and 2.1±0.6 in the no fibrosis, moderate fibrosis, and significant fibrosis groups, respectively (P<0.001); the corresponding values of MaxP1 were 0.05±0.2, 0.04±0.02, and 0.03±0.01, respectively (P=0.002), while those of MinP2 were –0.07±0.02, –0.05±0.02, and –0.04±0.01, respectively (P<0.001). Conclusions:Tagged MRI to quantify cardiac-induced liver motion can be easily incorporated in routine liver MRI and may represent a helpful complementary tool in the diagnosis of early liver fibrosis.http://e-cmh.org/upload/pdf/cmh-22-1-140.pdfLiver cirrhosisFibrosisMagnetic resonance imaging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kyung-Eun Kim Mi-Suk Park Sohae Chung Chansik An Leon Axel Rakhmonova Gulbahor Ergashovna |
spellingShingle |
Kyung-Eun Kim Mi-Suk Park Sohae Chung Chansik An Leon Axel Rakhmonova Gulbahor Ergashovna Magnetization-tagged MRI is a simple method for predicting liver fibrosis Clinical and Molecular Hepatology Liver cirrhosis Fibrosis Magnetic resonance imaging |
author_facet |
Kyung-Eun Kim Mi-Suk Park Sohae Chung Chansik An Leon Axel Rakhmonova Gulbahor Ergashovna |
author_sort |
Kyung-Eun Kim |
title |
Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_short |
Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_full |
Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_fullStr |
Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_full_unstemmed |
Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_sort |
magnetization-tagged mri is a simple method for predicting liver fibrosis |
publisher |
Korean Association for the Study of the Liver |
series |
Clinical and Molecular Hepatology |
issn |
2287-2728 2287-285X |
publishDate |
2016-03-01 |
description |
Background/Aims:To assess the usefulness of magnetization-tagged magnetic resonance imaging (MRI) in quantifying cardiac-induced liver motion and deformation in order to predict liver fibrosis. Methods:This retrospective study included 85 patients who underwent liver MRI including magnetization-tagged sequences from April 2010 to August 2010. Tagged images were acquired in three coronal and three sagittal planes encompassing both the liver and heart. A Gabor filter bank was used to measure the maximum value of displacement (MaxDisp) and the maximum and minimum values of principal strains (MaxP1 and MinP2, respectively). Patients were divided into three groups (no fibrosis, mild-to-moderate fibrosis, and significant fibrosis) based on their aspartate-aminotransferase-to-platelet ratio index (APRI) score. Group comparisons were made using ANOVA tests. Results:The patients were divided into three groups according to APRI scores: no fibrosis (≤0.5; n=41), moderate fibrosis (0.5–1.5; n=23), and significant fibrosis (>1.5; n=21). The values of MaxDisp were 2.9±0.9 (mean±SD), 2.3±0.7, and 2.1±0.6 in the no fibrosis, moderate fibrosis, and significant fibrosis groups, respectively (P<0.001); the corresponding values of MaxP1 were 0.05±0.2, 0.04±0.02, and 0.03±0.01, respectively (P=0.002), while those of MinP2 were –0.07±0.02, –0.05±0.02, and –0.04±0.01, respectively (P<0.001). Conclusions:Tagged MRI to quantify cardiac-induced liver motion can be easily incorporated in routine liver MRI and may represent a helpful complementary tool in the diagnosis of early liver fibrosis. |
topic |
Liver cirrhosis Fibrosis Magnetic resonance imaging |
url |
http://e-cmh.org/upload/pdf/cmh-22-1-140.pdf |
work_keys_str_mv |
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