» Articles » PMID: 28340131

Interobserver Variability in Histologic Evaluation of Liver Fibrosis Using Categorical and Quantitative Scores

Overview
Specialty Pathology
Date 2017 Mar 25
PMID 28340131
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: The aim of the study was to investigate the interobserver agreement for categorical and quantitative scores of liver fibrosis.

Methods: Sixty-five consecutive biopsy specimens from patients with mixed liver disease etiologies were assessed by three pathologists using the Ishak and nonalcoholic steatohepatitis Clinical Research Network (NASH CRN) scoring systems, and the fibrosis area (collagen proportionate area [CPA]) was estimated by visual inspection (visual-CPA). A subset of 20 biopsy specimens was analyzed using digital imaging analysis (DIA) for the measurement of CPA (DIA-CPA).

Results: The bivariate weighted κ between any two pathologists ranged from 0.57 to 0.67 for Ishak staging and from 0.47 to 0.57 for the NASH CRN staging. Bland-Altman analysis showed poor agreement between all possible pathologist pairings for visual-CPA but good agreement between all pathologist pairings for DIA-CPA. There was good agreement between the two pathologists who assessed biopsy specimens by visual-CPA and DIA-CPA. The intraclass correlation coefficient, which is equivalent to the κ statistic for continuous variables, was 0.78 for visual-CPA and 0.97 for DIA-CPA.

Conclusions: These results suggest that DIA-CPA is the most robust method for assessing liver fibrosis followed by visual-CPA. Categorical scores perform less well than both the quantitative CPA scores assessed here.

Citing Articles

Liver fibrosis classification on trichrome histology slides using weakly supervised learning in children and young adults.

Shabanian M, Taylor Z, Woods C, Bernieh A, Dillman J, He L J Pathol Inform. 2025; 16:100416.

PMID: 39867463 PMC: 11760786. DOI: 10.1016/j.jpi.2024.100416.


Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitis.

Pulaski H, Harrison S, Mehta S, Sanyal A, Vitali M, Manigat L Nat Med. 2024; 31(1):315-322.

PMID: 39496972 PMC: 11750710. DOI: 10.1038/s41591-024-03301-2.


Comparison of 2D Shear Wave Elastography and Transient Elastography in Non-Invasive Evaluation of Liver Fibrosis in Hepatitis C Virus-Related Chronic Liver Disease.

Vidili G, Arru M, Meloni P, Solinas G, Atzori S, Maida I J Clin Med. 2024; 13(14).

PMID: 39064101 PMC: 11278231. DOI: 10.3390/jcm13144061.


Diagnostic accuracy and clinical impact of MRI-based technologies for patients with non-alcoholic fatty liver disease: systematic review and economic evaluation.

Bresnahan R, Duarte R, Mahon J, Beale S, Chaplin M, Bhattacharyya D Health Technol Assess. 2023; 27(10):1-115.

PMID: 37839810 PMC: 10591209. DOI: 10.3310/KGJU3398.


Hepatic T-cell senescence and exhaustion are implicated in the progression of fatty liver disease in patients with type 2 diabetes and mouse model with nonalcoholic steatohepatitis.

Sim B, Kang Y, You S, Lee S, Nga H, Lee H Cell Death Dis. 2023; 14(9):618.

PMID: 37735474 PMC: 10514041. DOI: 10.1038/s41419-023-06146-8.


References
1.
Gronbaek K, Christensen P, Hamilton-Dutoit S, Federspiel B, Hage E, JENSEN O . Interobserver variation in interpretation of serial liver biopsies from patients with chronic hepatitis C. J Viral Hepat. 2002; 9(6):443-9. DOI: 10.1046/j.1365-2893.2002.00389.x. View

2.
Tsochatzis E, Crossan C, Longworth L, Gurusamy K, Rodriguez-Peralvarez M, Mantzoukis K . Cost-effectiveness of noninvasive liver fibrosis tests for treatment decisions in patients with chronic hepatitis C. Hepatology. 2014; 60(3):832-43. PMC: 4265295. DOI: 10.1002/hep.27296. View

3.
ISHAK K, Baptista A, Bianchi L, Callea F, De Groote J, Gudat F . Histological grading and staging of chronic hepatitis. J Hepatol. 1995; 22(6):696-9. DOI: 10.1016/0168-8278(95)80226-6. View

4.
Banerjee R, Pavlides M, Tunnicliffe E, Piechnik S, Sarania N, Philips R . Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. J Hepatol. 2013; 60(1):69-77. PMC: 3865797. DOI: 10.1016/j.jhep.2013.09.002. View

5.
Kleiner D, Brunt E, Van Natta M, Behling C, Contos M, Cummings O . Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology. 2005; 41(6):1313-21. DOI: 10.1002/hep.20701. View