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Rapid Validation of Whole-Slide Imaging for Primary Histopathology Diagnosis
Journal article   Open access   Peer reviewed

Rapid Validation of Whole-Slide Imaging for Primary Histopathology Diagnosis

Megan I Samuelson, Stephanie J Chen, Sarag A Boukhar, Eric M Schnieders, Mackenzie L Walhof, Andrew M Bellizzi, Robert A Robinson and Anand Rajan K D
American journal of clinical pathology, Vol.155(5), pp.638-648
04/26/2021
DOI: 10.1093/ajcp/aqaa280
PMID: 33511392
url
https://doi.org/10.1093/ajcp/aqaa280View
Published (Version of record) Open Access

Abstract

Abstract Objectives The ongoing global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic necessitates adaptations in the practice of surgical pathology at scale. Primary diagnosis by whole-slide imaging (WSI) is a key component that would aid departments in providing uninterrupted histopathology diagnosis and maintaining revenue streams from disruption. We sought to perform rapid validation of the use of WSI in primary diagnosis meeting recommendations of the College of American Pathologists guidelines. Methods Glass slides from clinically reported cases from 5 participating pathologists with a preset washout period were digitally scanned and reviewed in settings identical to typical reporting. Cases were classified as concordant or with minor or major disagreement with the original diagnosis. Randomized subsampling was performed, and mean concordance rates were calculated. Results In total, 171 cases were included and distributed equally among participants. For the group as a whole, the mean concordance rate in sampled cases (n = 90) was 83.6% counting all discrepancies and 94.6% counting only major disagreements. The mean pathologist concordance rate in sampled cases (n = 18) ranged from 90.49% to 97%. Conclusions We describe a novel double-blinded method for rapid validation of WSI for primary diagnosis. Our findings highlight the occurrence of a range of diagnostic reproducibility when deploying digital methods.
Case management software Primary digital diagnosis Digital pathology SARS-CoV-2 Whole-slide imaging WSI validation

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