Literature DB >> 25761371

Noninvasive assessment of macrovesicular liver steatosis in cadaveric donors based on computed tomography liver-to-spleen attenuation ratio.

Julien Rogier1, Stéphanie Roullet, François Cornélis, Matthieu Biais, Alice Quinart, Philippe Revel, Paulette Bioulac-Sage, Brigitte Le Bail.   

Abstract

Fatty liver disease, including liver steatosis, is a major health problem worldwide. In liver transplantation, macrovesicular steatosis in donor livers is a major cause of graft failure and remains difficult to assess. On one hand, several imaging modalities can be used for the assessment of liver fat, but liver biopsy, which is still considered the gold standard, may be difficult to perform in this context. On the other hand, computed tomography (CT) is commonly used by teams managing cadaveric donors to assess donors and to minimize the risk of complications in recipients. The purpose of our study was to validate the use of CT as a semiquantitative method for assessing macrovesicular steatosis in cadaveric donors with liver biopsy as a reference standard. A total of 109 consecutive cadaveric donors were included between October 2009 and May 2011. Brain death was diagnosed according to French legislation. Liver biopsy and then CT were performed on the same day to determine the degree of macrovesicular steatosis. All liver biopsies and CT scans were analyzed in a double-blinded fashion by a senior pathologist and a senior radiologist, respectively. For CT, we used the liver-to-spleen (L/S) attenuation ratio, which is a validated method for determining 30% or greater steatosis in living liver donors. Fourteen of 109 biopsies exhibited macrovesicular steatosis > 30% upon histologic analysis. A receiver operating characteristic curve was generated for the L/S ratio to identify its ability to predict significant steatosis, which was defined as >30%. A cutoff value of 0.9 for the CT L/S ratio provided a sensitivity of 79% and a specificity of 97% to detect significant steatosis.
© 2015 American Association for the Study of Liver Diseases.

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Year:  2015        PMID: 25761371     DOI: 10.1002/lt.24105

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  15 in total

1.  Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

Authors:  Sara Moccia; Leonardo S Mattos; Ilaria Patrini; Michela Ruperti; Nicolas Poté; Federica Dondero; François Cauchy; Ailton Sepulveda; Olivier Soubrane; Elena De Momi; Alberto Diaspro; Manuela Cesaretti
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-05-23       Impact factor: 2.924

2.  CT indices for the diagnosis of hepatic steatosis using non-enhanced CT images: development and validation of diagnostic cut-off values in a large cohort with pathological reference standard.

Authors:  Jieun Byun; Seung Soo Lee; Yu Sub Sung; Youngbin Shin; Jessica Yun; Ho Sung Kim; Eun Sil Yu; Sung-Gyu Lee; Moon-Gyu Lee
Journal:  Eur Radiol       Date:  2018-12-19       Impact factor: 5.315

3.  Automated measurement of liver attenuation to identify moderate-to-severe hepatic steatosis from chest CT scans.

Authors:  Artit Jirapatnakul; Anthony P Reeves; Sara Lewis; Xiangmeng Chen; Teng Ma; Rowena Yip; Xing Chin; Shuang Liu; Ponni V Perumalswami; David F Yankelevitz; Michael Crane; Andrea D Branch; Claudia I Henschke
Journal:  Eur J Radiol       Date:  2019-10-25       Impact factor: 3.528

Review 4.  NAFLD and liver transplantation: Current burden and expected challenges.

Authors:  Raluca Pais; A Sidney Barritt; Yvon Calmus; Olivier Scatton; Thomas Runge; Pascal Lebray; Thierry Poynard; Vlad Ratziu; Filomena Conti
Journal:  J Hepatol       Date:  2016-07-30       Impact factor: 25.083

Review 5.  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

6.  A Model to Predict Significant Macrosteatosis in Hepatic Grafts.

Authors:  Ahmed Swelam; René Adam; Lelde Lauka; Luiza Basilio Rodrigues; Sherif Elgarf; Mylène Sebagh; Nicolas Golse; Antonio Sa Cunha; Daniel Cherqui; Denis Castaing; Marc-Antoine Allard
Journal:  World J Surg       Date:  2020-04       Impact factor: 3.352

7.  Liver steatosis in pre-transplant liver biopsies can be quantified rapidly and accurately by nuclear magnetic resonance analysis.

Authors:  Stefanie Bertram; Cathrin Myland; Sandra Swoboda; Anja Gallinat; Thomas Minor; Nils Lehmann; Michael Thie; Julia Kälsch; Leona Pott; Ali Canbay; Thomas Bajanowski; Henning Reis; Andreas Paul; Hideo A Baba
Journal:  Virchows Arch       Date:  2016-12-03       Impact factor: 4.064

8.  Elevated prevalence of moderate-to-severe hepatic steatosis in World Trade Center General Responder Cohort in a program of CT lung screening.

Authors:  Xiangmeng Chen; Teng Ma; Rowena Yip; Ponni V Perumalswami; Andrea D Branch; Sara Lewis; Michael Crane; David F Yankelevitz; Claudia I Henschke
Journal:  Clin Imaging       Date:  2019-12-12       Impact factor: 1.605

9.  Improvement of non-alcoholic fatty liver disease after laparoscopic sleeve gastrectomy in Japanese obese patients.

Authors:  Yuichi Endo; Masayuki Ohta; Kazuhiro Tada; Hiroaki Nakanuma; Kunihiro Saga; Takashi Masuda; Teijiro Hirashita; Yukio Iwashita; Yoshinori Ozeki; Takayuki Masaki; Masafumi Inomata
Journal:  Ann Gastroenterol Surg       Date:  2019-01-29

10.  Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods.

Authors:  Jong Man Kim; Sang Yun Ha; Jae-Won Joh; Dong Hyun Sinn; Woo Kyung Jeong; Gyu-Seong Choi; Geum Youn Gwak; Choon Hyuck David Kwon; Young Kon Kim; Yong Han Paik; Joon Hyeok Lee; Won Jae Lee; Suk-Koo Lee; Cheol Keun Park
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

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