Literature DB >> 16684918

Hepatic macrosteatosis: predicting appropriateness of liver donation by using MR imaging--correlation with histopathologic findings.

Se Hyung Kim1, Jeong Min Lee, Joon Koo Han, Jae Young Lee, Kyoung Ho Lee, Chang Jin Han, Jae Young Jo, Nam-Joon Yi, Kyung-Suk Suh, Kyung-Sook Shin, Soo Yeon Jo, Byung Ihn Choi.   

Abstract

PURPOSE: To retrospectively evaluate the diagnostic performance of magnetic resonance (MR) imaging in predicting the appropriateness of liver donation in potential living liver donors by using histopathologic results as the reference standard.
MATERIALS AND METHODS: This study was approved by institutional review board; all patients gave informed consent for the use of MR data for future research. Fifty-seven potential liver donors (40 male, 17 female; age range, 17-57 years; mean age, 32 years) underwent dual-echo 1.5-T MR imaging. Two radiologists qualitatively graded each MR image, with consensus for disagreements. Livers were assigned one of three degrees of hepatic steatosis on the basis of changes in hepatic signal intensity (SI) between in-phase and opposed-phase images. For quantitative analysis, a third radiologist calculated mean hepatic and mean splenic SI by averaging 25 hepatic regions of interest and three splenic regions of interest. Relative SI decrease (RSID) in the liver on opposed-phase images compared with in-phase images was calculated. Linear regression analysis was used to correlate RSID with the degree of total steatosis, macrosteatosis, and microsteatosis. Diagnostic performance for predicting the appropriateness of liver donation was analyzed.
RESULTS: Histologic findings of macrosteatosis resulted in 52 patients being categorized as appropriate donors, with the remaining five being categorized as inappropriate donors. RSID was correlated with total steatosis (r = 0.850). When the RSID criterion for inappropriateness of liver donation was set at 20%, the sensitivity, specificity, and accuracy were 100%, 92.3%, and 93%, respectively. When RSID was used, four livers that had been misclassified as inappropriate for transplantation were found to have microsteatosis of various degrees and a less than moderate degree of macrosteatosis at histologic analysis. Qualitative and quantitative analyses were comparably accurate.
CONCLUSION: When an RSID criterion of less than 20% was used, dual-echo MR imaging facilitated the correct prediction of appropriateness of liver donation in 53 of 57 patients. RSNA, 2006

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Year:  2006        PMID: 16684918     DOI: 10.1148/radiol.2393042218

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  24 in total

1.  Assessment of the variations in fat content in normal liver using a fast MR imaging method in comparison with results obtained by spectroscopic imaging.

Authors:  Roy Irwan; Mireille A Edens; Paul E Sijens
Journal:  Eur Radiol       Date:  2007-11-13       Impact factor: 5.315

2.  Mapping of liver fat with triple-echo gradient echo imaging: validation against 3.0-T proton MR spectroscopy.

Authors:  Boris Guiu; Romaric Loffroy; Jean-Michel Petit; Serge Aho; Douraied Ben Salem; David Masson; Patrick Hillon; Jean-Pierre Cercueil; Denis Krause
Journal:  Eur Radiol       Date:  2009-02-27       Impact factor: 5.315

3.  Intrahepatic mass-forming cholangiocarcinoma: prognostic value of preoperative gadoxetic acid-enhanced MRI.

Authors:  Jieun Koh; Yong Eun Chung; Ji Hae Nahm; Ha Yan Kim; Kyung-Sik Kim; Young Nyun Park; Myeong-Jin Kim; Jin-Young Choi
Journal:  Eur Radiol       Date:  2015-05-23       Impact factor: 5.315

4.  Accurate and simple method for quantification of hepatic fat content using magnetic resonance imaging: a prospective study in biopsy-proven nonalcoholic fatty liver disease.

Authors:  Tomoko Hatta; Yasunari Fujinaga; Masumi Kadoya; Hitoshi Ueda; Hiroaki Murayama; Masahiro Kurozumi; Kazuhiko Ueda; Michiharu Komatsu; Tadanobu Nagaya; Satoru Joshita; Ryo Kodama; Eiji Tanaka; Tsuyoshi Uehara; Kenji Sano; Naoki Tanaka
Journal:  J Gastroenterol       Date:  2010-07-13       Impact factor: 7.527

Review 5.  Diagnostic value of MRI-PDFF for hepatic steatosis in patients with non-alcoholic fatty liver disease: a meta-analysis.

Authors:  Jiulian Gu; Shousheng Liu; Shuixian Du; Qing Zhang; Jianhan Xiao; Quanjiang Dong; Yongning Xin
Journal:  Eur Radiol       Date:  2019-03-21       Impact factor: 5.315

Review 6.  CT and MR imaging evaluation of living liver donors.

Authors:  Federica Vernuccio; Susan A Whitney; Kadiyala Ravindra; Daniele Marin
Journal:  Abdom Radiol (NY)       Date:  2021-01

7.  Evaluation of diffuse liver steatosis by ultrasound, computed tomography, and magnetic resonance imaging: which modality is best?

Authors:  Aliya Qayyum; Daryl M Chen; Richard S Breiman; Antonio C Westphalen; Benjamin M Yeh; Kirk D Jones; Ying Lu; Fergus V Coakley; Peter W Callen
Journal:  Clin Imaging       Date:  2009 Mar-Apr       Impact factor: 1.605

8.  The diagnostic accuracy of US, CT, MRI and 1H-MRS for the evaluation of hepatic steatosis compared with liver biopsy: a meta-analysis.

Authors:  Anneloes E Bohte; Jochem R van Werven; Shandra Bipat; Jaap Stoker
Journal:  Eur Radiol       Date:  2010-07-31       Impact factor: 5.315

Review 9.  Nonalcoholic fatty liver disease: an overview of current insights in pathogenesis, diagnosis and treatment.

Authors:  Tim C M A Schreuder; Bart J Verwer; Carin M J van Nieuwkerk; Chris J J Mulder
Journal:  World J Gastroenterol       Date:  2008-04-28       Impact factor: 5.742

10.  Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T.

Authors:  Takeshi Yokoo; Mark Bydder; Gavin Hamilton; Michael S Middleton; Anthony C Gamst; Tanya Wolfson; Tarek Hassanein; Heather M Patton; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  Radiology       Date:  2009-02-12       Impact factor: 11.105

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