Literature DB >> 23408461

Assessment of hepatic steatosis by transplant surgeon and expert pathologist: a prospective, double-blind evaluation of 201 donor livers.

Hasan Yersiz1, Coney Lee, Fady M Kaldas, Johnny C Hong, Abbas Rana, Gabriel T Schnickel, Jason A Wertheim, Ali Zarrinpar, Vatche G Agopian, Jeffrey Gornbein, Bita V Naini, Charles R Lassman, Ronald W Busuttil, Henrik Petrowsky.   

Abstract

An accurate clinical assessment of hepatic steatosis before transplantation is critical for successful outcomes after liver transplantation, especially if a pathologist is not available at the time of procurement. This prospective study investigated the surgeon's accuracy in predicting hepatic steatosis and organ quality in 201 adult donor livers. A steatosis assessment by a blinded expert pathologist served as the reference gold standard. The surgeon's steatosis estimate correlated more strongly with large-droplet macrovesicular steatosis [ld-MaS; nonparametric Spearman correlation coefficient (rS ) = 0.504] versus small-droplet macrovesicular steatosis (sd-MaS; rS  = 0.398). True microvesicular steatosis was present in only 2 donors (1%). Liver texture criteria (yellowness, absence of scratch marks, and round edges) were mainly associated with ld-MaS (variance = 0.619) and were less associated with sd-MaS (variance = 0.264). The prediction of ≥30% ld-MaS versus <30% ld-MaS was excellent when liver texture criteria were used (accuracy = 86.2%), but it was less accurate when the surgeon's direct estimation of the steatosis percentage was used (accuracy = 75.5%). The surgeon's quality grading correlated with the degree of ld-MaS and the surgeon's steatosis estimate as well as the incidence of poor initial function and primary nonfunction. In conclusion, the precise estimation of steatosis remains challenging even in experienced hands. Liver texture characteristics are more helpful in identifying macrosteatotic organs than the surgeon's actual perception of steatosis. These findings are especially important when histological assessment is not available at the donor's hospital.
Copyright © 2013 American Association for the Study of Liver Diseases.

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Mesh:

Year:  2013        PMID: 23408461     DOI: 10.1002/lt.23615

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


  28 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.  Transplantation: Assessment of liver allograft steatosis.

Authors:  James Neuberger
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2013-04-30       Impact factor: 46.802

3.  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

4.  Minimizing Risks of Liver Transplantation with Steatotic Donor Livers by Preferred Recipient Matching.

Authors:  Kyle R Jackson; Jennifer D Motter; Christine E Haugen; Jane J Long; Betsy King; Benjamin Philosophe; Allan B Massie; Andrew M Cameron; Jacqueline Garonzik-Wang; Dorry L Segev
Journal:  Transplantation       Date:  2019-11-20       Impact factor: 4.939

5.  A rapid, reproducible, noninvasive predictor of liver graft survival.

Authors:  Ali Zarrinpar; Coney Lee; Emily Noguchi; Hasan Yersiz; Vatche G Agopian; Fady M Kaldas; Douglas G Farmer; Ronald W Busuttil
Journal:  J Surg Res       Date:  2015-04-07       Impact factor: 2.192

Review 6.  Donor liver histology--a valuable tool in graft selection.

Authors:  Christa Flechtenmacher; Peter Schirmacher; Peter Schemmer
Journal:  Langenbecks Arch Surg       Date:  2015-03-26       Impact factor: 3.445

Review 7.  [Donor liver histology : Joint recommendations of the DGP, DTG and DSO].

Authors:  C Schleicher; H-H Kreipe; P Schemmer; C P Strassburg; C-L Fischer-Fröhlich; A Rahmel; C Flechtenmacher
Journal:  Chirurg       Date:  2019-11       Impact factor: 0.955

8.  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

9.  Moderately Macrosteatotic Livers Have Acceptable Long-Term Outcomes but Higher Risk of Immediate Mortality.

Authors:  Jurgis Alvikas; Andrew-Paul Deeb; Dana R Jorgensen; Marta I Minervini; Anthony J Demetris; Kristina Lemon; Xilin Chen; Hanna Labiner; Shahid Malik; Christopher Hughes; Abhinav Humar; Amit Tevar
Journal:  Transplant Proc       Date:  2021-04-27       Impact factor: 1.014

10.  The Propensity of the Human Liver to Form Large Lipid Droplets Is Associated with PNPLA3 Polymorphism, Reduced INSIG1 and NPC1L1 Expression and Increased Fibrogenetic Capacity.

Authors:  Flaminia Ferri; Simone Carotti; Guido Carpino; Monica Mischitelli; Alfredo Cantafora; Antonio Molinaro; Maria Eva Argenziano; Simona Parisse; Alessandro Corsi; Mara Riminucci; Quirino Lai; Gianluca Mennini; Gustavo Spadetta; Francesco Pugliese; Massimo Rossi; Sergio Morini; Eugenio Gaudio; Stefano Ginanni Corradini
Journal:  Int J Mol Sci       Date:  2021-06-05       Impact factor: 5.923

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