Literature DB >> 20692450

Frozen-section diagnosis in donor livers: error rate estimation of steatosis degree.

E D'Alessandro1, F Calabrese, E Gringeri, M Valente.   

Abstract

A high degree of macrovesicular steatosis is associated with a significant risk of graft dysfunction. Most centers, including ours, consider 60% the limit value for transplantability, while others have adopted 30% as a cutoff. Pretransplant frozen-section (PFS) evaluation is used for reliable quantification of steatosis. However, the accuracy of PFS analysis for the degree of steatosis has largely been debated due to its high grade of variability and subjectivity. The aim of our study was to evaluate the accuracy of PFS diagnosis compared with subsequent paraffin histology samples. We retrospectively analyzed PFS from 52 consecutive liver donors. All PFS were blindly reviewed by two pathologists. The results were graded according to two classifications: (A) lower or higher than 60% steatosis, or (B) mild (0%-30%), moderate (30%-60%), or severe (>60%) steatosis. The rate of error for A (two-grade classification score) was 1.9% with the erroneous discharge of a viable organ. The error rate for B (three-grade classification score) was 7.7% with four discrepancies. In three cases, the discrepancy was related to the mild to moderate cutoff value, leading to a clinical error rate of 5.8% (discharging organs with statosis >30%, when we used more strict criteria). Our study validated PFS analysis as a reliable technique when the maximum value for organ transplantation was 60% steatosis. There was a higher error rate when a cutoff value of 30% was used. This finding suggests the usefulness of another technique to support a more precise steatosis evaluation. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20692450     DOI: 10.1016/j.transproceed.2010.05.033

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  9 in total

1.  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

2.  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

3.  Hepatic steatosis is not always a contraindication for cadaveric liver transplantation.

Authors:  Jan P Deroose; Geert Kazemier; Pieter Zondervan; Jan N M Ijzermans; Herold J Metselaar; Ian P J Alwayn
Journal:  HPB (Oxford)       Date:  2011-04-07       Impact factor: 3.647

Review 4.  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 5.  [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

6.  Assessment of liver transplant donor biopsies for steatosis using frozen section: accuracy and possible impact on transplantation.

Authors:  Benjamin Heller; Stephen Peters
Journal:  J Clin Med Res       Date:  2011-07-26

Review 7.  Role of Histopathologist in Liver Transplantation.

Authors:  B Geramizadeh; S A Malek-Hosseini
Journal:  Int J Organ Transplant Med       Date:  2017-02-01

8.  Pro-Resolving Lipid Mediator Resolvin E1 Mitigates the Progress of Diethylnitrosamine-Induced Liver Fibrosis in Sprague-Dawley Rats by Attenuating Fibrogenesis and Restricting Proliferation.

Authors:  Maria José Rodríguez; Francisca Herrera; Wendy Donoso; Iván Castillo; Roxana Orrego; Daniel R González; Jessica Zúñiga-Hernández
Journal:  Int J Mol Sci       Date:  2020-11-22       Impact factor: 5.923

9.  Deep learning quantification of percent steatosis in donor liver biopsy frozen sections.

Authors:  Lulu Sun; Jon N Marsh; Matthew K Matlock; Ling Chen; Joseph P Gaut; Elizabeth M Brunt; S Joshua Swamidass; Ta-Chiang Liu
Journal:  EBioMedicine       Date:  2020-09-24       Impact factor: 8.143

  9 in total

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