Literature DB >> 28340131

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

Michael Pavlides1,2, Jacqueline Birks3, Eve Fryer4, David Delaney4, Nikita Sarania5, Rajarshi Banerjee6, Stefan Neubauer2, Eleanor Barnes1,7, Kenneth A Fleming5,4, Lai Mun Wang4.   

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. © American Society for Clinical Pathology, 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Entities:  

Keywords:  Bland-Altman plot; Collagen proportionate area; Digital imaging analysis; statistic; κ

Mesh:

Substances:

Year:  2017        PMID: 28340131      PMCID: PMC5848246          DOI: 10.1093/ajcp/aqx011

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  17 in total

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8.  Use of Texture Analysis on Noncontrast MRI in Classification of Early Stage of Liver Fibrosis.

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