Interobserver Variability Across Whole-Slide Imaging Systems

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Authors: Benzion Samueli, Hikmat Al-Ahmadie, Marina Baine, Melissa Pulitzer, Marc Rosenblum, Emaan Alvi, Harshita Mehrotra, Elisabet Pujadas, Dan Carlucci, Kaitlyn Gelfant, Ali Manzo, Lisette Spencer
+5 more Julia Stetsyk, Jacob Dreiher, Victor E. Reuter, Meera Hameed, Orly Ardon
Cited by: 1

Abstract

Context.—: Digital pathology whole-slide images (WSIs) must be of adequate quality for use in diagnostics and the development of artificial intelligence algorithms. Inadequate slides should be re-scanned. There is insufficient data on what qualifies as WSI adequacy. Objective.—: To report on the degree of inter-cohort agreement when evaluating WSI quality and adequacy for use in primary diagnostics. Design.—: The 60 validation slides were scanned by 3 scanners (Leica GT450, Hamamatsu NanoZoomer S360, and Huron TissueScope iQ). The resulting 180 WSIs were independently evaluated on a quality pass or fail basis by 12 observers representing 4 staff members of the following: in-house attending physicians, fellows, and imaging technicians. The Cohen's kappa was calculated overall and within each cohort, and the acceptance rate was compared between cohorts. Results.—: For almost every cohort on each scanner, the Cohen's kappa was weak (0.21-0.4) or very poor (

Fields of Study & Subjects

AI in cancer detection Digital Radiography and Breast Imaging Radiology practices and education

Publication details

Journal / source
Archives of Pathology & Laboratory Medicine
Publisher
Archives of Pathology and Laboratory Medicine
Publication date
8 June 2026
Language
EN