Literature DB >> 15116323

Assessment of donor liver steatosis: pathologist or automated software?

Hendrik Marsman1, Takakazu Matsushita, Ross Dierkhising, Walter Kremers, Charles Rosen, Lawrence Burgart, Scott L Nyberg.   

Abstract

Steatosis in donor liver biopsy specimens has been shown to correlate with graft dysfunction after orthotopic liver transplantation. This 2-part (laboratory pilot, clinical retrospective) study compared the traditional interpretation of steatosis by a pathologist with an automated measurement determined by an image analysis system. In our pilot study, Sprague-Dawley rats were studied prospectively by feeding them a choline-deficient diet for up to 7 days. In our clinical group, data from 49 consecutive recipients of cadaveric liver transplantation were reviewed retrospectively. In both studies, the percentages of microvesicular fat, macrovesicular fat, and total fat content within liver biopsy specimens were determined by an automated image analysis software program and a pathologist using the same set of slides. The association between fat content of the donor liver and patient survival and graft survival, along with levels of aspartate aminotransferase, alanine aminotransferase, prothrombin time, and total bilirubin after transplantation, were also examined in the clinical study. A direct correlation was observed between levels of macrovesicular fat determined by a pathologist and the automated software using livers from rats fed a choline-deficient diet and livers from deceased donors. A significant association was observed between macrovesicular fat content in the donor liver biopsy and graft survival by both techniques. We conclude that an image analysis system can be used to automate the determination of fat content in liver biopsy specimens, and that its findings correlate with both the visual interpretation by a pathologist and graft survival. Further study is needed to determine the role of an automated technique in the evaluation of donor livers for transplantation.

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Year:  2004        PMID: 15116323     DOI: 10.1016/j.humpath.2003.10.029

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  25 in total

Review 1.  Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy.

Authors:  Scott B Reeder; Irene Cruite; Gavin Hamilton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

2.  Simultaneous assessment of liver volume and whole liver fat content: a step towards one-stop shop preoperative MRI protocol.

Authors:  Gaspard d'Assignies; Claude Kauffmann; Yvan Boulanger; Marc Bilodeau; Valérie Vilgrain; Gilles Soulez; An Tang
Journal:  Eur Radiol       Date:  2010-09-03       Impact factor: 5.315

3.  Frozen section diagnosis in donor liver biopsies: observer variation of semiquantitative and quantitative steatosis assessment.

Authors:  Stefan Biesterfeld; Jasmin Knapp; Fernando Bittinger; Heiko Götte; Martin Schramm; Gerd Otto
Journal:  Virchows Arch       Date:  2012-07-08       Impact factor: 4.064

4.  Donor race does not predict graft failure after liver transplantation.

Authors:  Sumeet K Asrani; Young-Suk Lim; Terry M Therneau; Rachel A Pedersen; Julie Heimbach; W Ray Kim
Journal:  Gastroenterology       Date:  2010-02-19       Impact factor: 22.682

5.  Comparison between modified Dixon MRI techniques, MR spectroscopic relaxometry, and different histologic quantification methods in the assessment of hepatic steatosis.

Authors:  Guido M Kukuk; Kanishka Hittatiya; Alois M Sprinkart; Holger Eggers; Jürgen Gieseke; Wolfgang Block; Philipp Moeller; Winfried A Willinek; Ulrich Spengler; Jonel Trebicka; Hans-Peter Fischer; Hans H Schild; Frank Träber
Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

Review 6.  Evolution of the liver biopsy and its future.

Authors:  Dhanpat Jain; Richard Torres; Romulo Celli; Jeremy Koelmel; Georgia Charkoftaki; Vasilis Vasiliou
Journal:  Transl Gastroenterol Hepatol       Date:  2021-04-05

7.  Automated image analysis method for detecting and quantifying macrovesicular steatosis in hematoxylin and eosin-stained histology images of human livers.

Authors:  Nir I Nativ; Alvin I Chen; Gabriel Yarmush; Scot D Henry; Jay H Lefkowitch; Kenneth M Klein; Timothy J Maguire; Rene Schloss; James V Guarrera; Francois Berthiaume; Martin L Yarmush
Journal:  Liver Transpl       Date:  2013-12-12       Impact factor: 5.799

Review 8.  Donor Hepatic Steatosis and Outcome After Liver Transplantation: a Systematic Review.

Authors:  Michael J J Chu; Anna J Dare; Anthony R J Phillips; Adam S J R Bartlett
Journal:  J Gastrointest Surg       Date:  2015-04-28       Impact factor: 3.452

9.  Morphometric analysis of hepatic steatosis in chronic hepatitis C infection.

Authors:  Alia Zubair; Shahid Jamal; Azhar Mubarik
Journal:  Saudi J Gastroenterol       Date:  2009-01       Impact factor: 2.485

10.  Noninvasive quantitation of human liver steatosis using magnetic resonance and bioassay methods.

Authors:  Gaspard d'Assignies; Martin Ruel; Abdesslem Khiat; Luigi Lepanto; Miguel Chagnon; Claude Kauffmann; An Tang; Louis Gaboury; Yvan Boulanger
Journal:  Eur Radiol       Date:  2009-03-11       Impact factor: 5.315

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