Literature DB >> 21111448

Comparing morphometric, biochemical, and visual measurements of macrovesicular steatosis of liver.

Mei Li1, Jie Song, Snezana Mirkov, Shu-Yuan Xiao, John Hart, Wanqing Liu.   

Abstract

The degree of macrovesicular steatosis is typically evaluated in liver biopsies by visual estimation, which is subject to intraobserver and interobserver variations. Computer morphometry and biochemical measurement may provide more accurate results. Our aim was to develop a morphometry method and compare its results with visual and biochemical measurements. Twenty-six fresh frozen liver specimens were each divided into 4 aliquots. Three aliquots were processed biochemically to extract fat, and the fat content was defined as the weight percentage of fat. One aliquot was fixed in formalin, from which hematoxylin and eosin slides were made and reviewed by 3 pathologists to estimate fat content. Digital images of slides were analyzed by computer morphometry, which defined fat content as the percentage of area occupied by fat droplets. The results showed that individually, each method produced highly precise and reproducible measurements. Compared with each other, they showed very strong correlations (correlation coefficient r = 0.81-0.95). The range of fat content in all 26 specimens was 2.2% to 15% by biochemical, 0.8% to 82.5% by visual, and 0.3% to 19.6% by morphometry method. Visual estimation appeared to have a systematic bias, giving results nearly 4-fold higher than other methods. This may be because visual estimation denotes the fraction of hepatocytes containing fat droplets, instead of the true fraction of fat. Strong correlations between different methods suggest that all 3 are valid methods for measuring steatosis. Computer morphometry is easy to implement and not affected by the bias seen in visual estimation. It may serve as a potential supplemental or alternative method.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21111448      PMCID: PMC3052952          DOI: 10.1016/j.humpath.2010.07.013

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


  18 in total

1.  Digital quantification is more precise than traditional semiquantitation of hepatic steatosis: correlation with fibrosis in 220 treatment-naïve patients with chronic hepatitis C.

Authors:  Sekou R Rawlins; Ola El-Zammar; J Michael Zinkievich; Nancy Newman; Robert A Levine
Journal:  Dig Dis Sci       Date:  2010-05-12       Impact factor: 3.199

Review 2.  Impaired mitochondrial function in microvesicular steatosis. Effects of drugs, ethanol, hormones and cytokines.

Authors:  B Fromenty; D Pessayre
Journal:  J Hepatol       Date:  1997       Impact factor: 25.083

3.  A procedure for measuring triacylglyceride and cholesterol content using a small amount of tissue.

Authors:  Víctor Rodríguez-Sureda; Julia Peinado-Onsurbe
Journal:  Anal Biochem       Date:  2005-08-15       Impact factor: 3.365

4.  Semiquantitative evaluation overestimates the degree of steatosis in liver biopsies: a comparison to stereological point counting.

Authors:  Lennart E Franzén; Mattias Ekstedt; Stergios Kechagias; Lennart Bodin
Journal:  Mod Pathol       Date:  2005-07       Impact factor: 7.842

5.  Quantitative assessment of fibrosis and steatosis in liver biopsies from patients with chronic hepatitis C.

Authors:  A M Zaitoun; H Al Mardini; S Awad; S Ukabam; S Makadisi; C O Record
Journal:  J Clin Pathol       Date:  2001-06       Impact factor: 3.411

6.  Nonalcoholic steatohepatitis: a proposal for grading and staging the histological lesions.

Authors:  E M Brunt; C G Janney; A M Di Bisceglie; B A Neuschwander-Tetri; B R Bacon
Journal:  Am J Gastroenterol       Date:  1999-09       Impact factor: 10.864

7.  Design and validation of a histological scoring system for nonalcoholic fatty liver disease.

Authors:  David E Kleiner; Elizabeth M Brunt; Mark Van Natta; Cynthia Behling; Melissa J Contos; Oscar W Cummings; Linda D Ferrell; Yao-Chang Liu; Michael S Torbenson; Aynur Unalp-Arida; Matthew Yeh; Arthur J McCullough; Arun J Sanyal
Journal:  Hepatology       Date:  2005-06       Impact factor: 17.425

8.  Use of fatty donor liver is associated with diminished early patient and graft survival.

Authors:  W A Marsman; R H Wiesner; L Rodriguez; K P Batts; M K Porayko; J E Hay; G J Gores; R A Krom
Journal:  Transplantation       Date:  1996-11-15       Impact factor: 4.939

9.  Assessment of donor liver steatosis: pathologist or automated software?

Authors:  Hendrik Marsman; Takakazu Matsushita; Ross Dierkhising; Walter Kremers; Charles Rosen; Lawrence Burgart; Scott L Nyberg
Journal:  Hum Pathol       Date:  2004-04       Impact factor: 3.466

10.  Nonalcoholic fatty liver disease: assessment of variability in pathologic interpretations.

Authors:  Z M Younossi; T Gramlich; Y C Liu; C Matteoni; M Petrelli; J Goldblum; L Rybicki; A J McCullough
Journal:  Mod Pathol       Date:  1998-06       Impact factor: 7.842

View more
  12 in total

1.  Fatty acid desaturase 1 gene polymorphisms control human hepatic lipid composition.

Authors:  Libo Wang; Shaminie Athinarayanan; Guanglong Jiang; Naga Chalasani; Min Zhang; Wanqing Liu
Journal:  Hepatology       Date:  2014-12-15       Impact factor: 17.425

2.  SNPs affecting serum metabolomic traits may regulate gene transcription and lipid accumulation in the liver.

Authors:  Snezana Mirkov; Jamie L Myers; Jacqueline Ramírez; Wanqing Liu
Journal:  Metabolism       Date:  2012-06-26       Impact factor: 8.694

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.  The effect of hepatic steatosis on survival following resection of colorectal liver metastases in patients without preoperative chemotherapy.

Authors:  Ed Parkin; Derek A O'Reilly; Rene Adam; Gernot M Kaiser; Christophe Laurent; Dominique Elias; Lorenzo Capussotti; Andrew G Renehan
Journal:  HPB (Oxford)       Date:  2012-12-27       Impact factor: 3.647

5.  Pathological characterization and morphometric analysis of hepatic lesions in SHRSP5/Dmcr, an experimental non-alcoholic steatohepatitis model, induced by high-fat and high-cholesterol diet.

Authors:  Yasushi Horai; Hiroyuki Utsumi; Yuko Ono; Toshimitsu Kishimoto; Yuuichi Ono; Atsushi Fukunari
Journal:  Int J Exp Pathol       Date:  2016-03-31       Impact factor: 1.925

6.  Glycine-based treatment ameliorates NAFLD by modulating fatty acid oxidation, glutathione synthesis, and the gut microbiome.

Authors:  Oren Rom; Yuhao Liu; Zhipeng Liu; Ying Zhao; Jianfeng Wu; Alia Ghrayeb; Luis Villacorta; Yanbo Fan; Lin Chang; Lu Wang; Cai Liu; Dongshan Yang; Jun Song; Jason C Rech; Yanhong Guo; Huilun Wang; Guizhen Zhao; Wenying Liang; Yui Koike; Haocheng Lu; Tomonari Koike; Tony Hayek; Subramaniam Pennathur; Chuanwu Xi; Bo Wen; Duxin Sun; Minerva T Garcia-Barrio; Michael Aviram; Eyal Gottlieb; Inbal Mor; Wanqing Liu; Jifeng Zhang; Y Eugene Chen
Journal:  Sci Transl Med       Date:  2020-12-02       Impact factor: 17.956

7.  Automated quantification of steatosis: agreement with stereological point counting.

Authors:  André Homeyer; Patrik Nasr; Christiane Engel; Stergios Kechagias; Peter Lundberg; Mattias Ekstedt; Henning Kost; Nick Weiss; Tim Palmer; Horst Karl Hahn; Darren Treanor; Claes Lundström
Journal:  Diagn Pathol       Date:  2017-11-13       Impact factor: 2.644

8.  Quantitative analysis of histopathological findings using image processing software.

Authors:  Yasushi Horai; Tetsuhiro Kakimoto; Kana Takemoto; Masaharu Tanaka
Journal:  J Toxicol Pathol       Date:  2017-08-20       Impact factor: 1.628

9.  Focused scores enable reliable discrimination of small differences in steatosis.

Authors:  André Homeyer; Seddik Hammad; Lars Ole Schwen; Uta Dahmen; Henning Höfener; Yan Gao; Steven Dooley; Andrea Schenk
Journal:  Diagn Pathol       Date:  2018-09-20       Impact factor: 2.644

10.  High-Throughput, Machine Learning-Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies From Patients With Nonalcoholic Fatty Liver Disease.

Authors:  Roberta Forlano; Benjamin H Mullish; Nikolaos Giannakeas; James B Maurice; Napat Angkathunyakul; Josephine Lloyd; Alexandros T Tzallas; Markos Tsipouras; Michael Yee; Mark R Thursz; Robert D Goldin; Pinelopi Manousou
Journal:  Clin Gastroenterol Hepatol       Date:  2019-12-27       Impact factor: 11.382

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.