Validation and Adoption of Innovative Digital Technologies Within Histopathology, Enhancing Digital QA and Potential for A.I.
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All Authors
Mullarkey, Craig
Rathore, Dil
LTHT Author
Mullarkey, Craig
Rathore, Dil
Rathore, Dil
LTHT Department
Pathology
Histopathology
Digital Pathology
Histopathology
Digital Pathology
Non Medic
Biomedical Scientist
Publication Date
2025
Item Type
Conference Abstract
Language
Subject
Subject Headings
Abstract
Background/Aims – Digital pathology, an exponentially growing aspect of pathology, allowing for digital innovations. Advent of the digital block scanning device is an exciting prospect for fully digitising QC/QA pathways within histopathology with potential for automation with A.I. integration. The aim of this study is to fully validate block scanning device and demonstrate utility within histopathology workflows.
Methods - 3 tissue types were dissected, formalin fixed, and paraffin embedded (FFPE), 3µm sections were taken from 60 blocks (20 per tissue type) at 3 intervals. WSI and block images were captured and processed. Each block image assessed for % completeness against corresponding WSI and % full face at 3 intervals.
Results - Breast, lung and bowel had 57/60, 57/60 and 52/60 block images with ≥90% completeness compared to WSI respectively. ≥95% completeness was seen in 48/60, 40/60 and 21/60 for breast, lung and bowel tissue block images. The majority of block showed upward trends in % full-face showed from intervals 1-3.
Conclusion – Block images assessed to have high levels of % completeness for all tissue types; being slightly higher for breast and lung; fully validating the device for laboratory use. % full-face assessments demonstrated higher % full face at interval 3 than intended at 2, showing utility for QC/QA; with further developmental potential for automation with A.I integration. This digital innovation addresses workload and workforce pressures faced by histopathology laboratories and could have impacts on TATs and cancer waiting times.