Rapid Validation of Whole-Slide Imaging for Primary Histopathology Diagnosis.
Am J Clin Pathol
; 155(5): 638-648, 2021 04 26.
Article
in English
| MEDLINE | ID: covidwho-1207251
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pathology, Surgical
/
Image Interpretation, Computer-Assisted
/
Telepathology
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Am J Clin Pathol
Year:
2021
Document Type:
Article
Affiliation country:
Ajcp
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