Literature DB >> 19806055

Assessment of hepatic steatosis by expert pathologists: the end of a gold standard.

Ashraf Mohammad El-Badry1, Stefan Breitenstein, Wolfram Jochum, Kay Washington, Valérie Paradis, Laura Rubbia-Brandt, Milo A Puhan, Ksenija Slankamenac, Rolf Graf, Pierre-Alain Clavien.   

Abstract

BACKGROUND: The presence of fat in the liver is considered a major risk for postoperative complication after liver surgery and transplantation. The current standard of quantification of hepatic steatosis is microscopic evaluation by pathologists, although consistency in such assessment remains unclear. Computerized image analysis is an alternative method for objective assessment of the degree of hepatic steatosis.
METHODS: High resolution images of hematoxylin and eosin stained liver sections from 46 consecutive patients, initially diagnosed with liver steatosis, were blindly assessed by 4 established expert pathologists from different institutions. Computerized analysis was carried out simultaneously on the same sections. Interobserver agreement and correlation between the pathologists' and computerized assessment were evaluated using intraclass correlation coefficients (ICC), Spearman rank correlation coefficients, or descriptive statistics.
RESULTS: Poor agreement among pathologists (ICC: 0.57) was found regarding the assessment of total steatosis, (ICC >0.7 indicates acceptable agreement). Pathologists' estimation of micro- and macrosteatosis disclosed also poor correlation (ICC: 0.22, 0.55, respectively). Inconsistent assessment of histological features of steatohepatitis (lobular inflammation, portal inflammation, hepatocyte ballooning, and Mallory hyaline) was documented. Poor conformity was also shown between the computerized quantification and ratings of 3 pathologists (Spearman rank correlation coefficients: 0.22, 0.82, 0.28, and 0.38).
CONCLUSION: Quantification of hepatic steatosis in histological sections is strongly observer-dependent, not reproducible, and does not correlate with the computerized estimation. Current standards of assessment, previously published data and the clinical relevance of hepatic steatosis for liver surgery and transplantation must be challenged.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19806055     DOI: 10.1097/SLA.0b013e3181bcd6dd

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  85 in total

1.  Body mass index and adverse perioperative outcomes following hepatic resection.

Authors:  Amit K Mathur; Amir A Ghaferi; Nicholas H Osborne; Timothy M Pawlik; Darrell A Campbell; Michael J Englesbe; Theodore H Welling
Journal:  J Gastrointest Surg       Date:  2010-06-08       Impact factor: 3.452

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

Review 3.  Correlation of imaging and histopathology of thrombi in acute ischemic stroke with etiology and outcome: a systematic review.

Authors:  Waleed Brinjikji; Sharon Duffy; Anthony Burrows; Werner Hacke; David Liebeskind; Charles B L M Majoie; Diederik W J Dippel; Adnan H Siddiqui; Pooja Khatri; Blaise Baxter; Raul Nogeuira; Matt Gounis; Tudor Jovin; David F Kallmes
Journal:  J Neurointerv Surg       Date:  2016-05-10       Impact factor: 5.836

4.  Measuring liver triglyceride content in mice: non-invasive magnetic resonance methods as an alternative to histopathology.

Authors:  Jurgen H Runge; Pieter J Bakker; Ingrid C Gaemers; Joanne Verheij; Theo B M Hakvoort; Roelof Ottenhoff; Aart J Nederveen; Jaap Stoker
Journal:  MAGMA       Date:  2013-11-01       Impact factor: 2.310

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

6.  Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis.

Authors:  An Tang; Justin Tan; Mark Sun; Gavin Hamilton; Mark Bydder; Tanya Wolfson; Anthony C Gamst; Michael Middleton; Elizabeth M Brunt; Rohit Loomba; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  Radiology       Date:  2013-02-04       Impact factor: 11.105

Review 7.  Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging.

Authors:  Yingzhen N Zhang; Kathryn J Fowler; Gavin Hamilton; Jennifer Y Cui; Ethan Z Sy; Michelle Balanay; Jonathan C Hooker; Nikolaus Szeverenyi; Claude B Sirlin
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

8.  MR quantitative biomarkers of non-alcoholic fatty liver disease: technical evolutions and future trends.

Authors:  Guido Ligabue; Giulia Besutti; Riccardo Scaglioni; Chiara Stentarelli; Giovanni Guaraldi
Journal:  Quant Imaging Med Surg       Date:  2013-08

Review 9.  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

10.  Liver fat volume fraction quantification with fat and water T1 and T 2* estimation and accounting for NMR multiple components in patients with chronic liver disease at 1.5 and 3.0 T.

Authors:  Benjamin Leporq; Hélène Ratiney; Frank Pilleul; Olivier Beuf
Journal:  Eur Radiol       Date:  2013-04-16       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.