An international study of stain variability in histopathology using qualitative and quantitative analysis.
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All Authors
Dunn, C.
Brettle, D.
Hodgson, C.
Hughes, R.
Treanor, D.
LTHT Author
Dunn, Catriona
Brettle, David
Treanor, Darren
Brettle, David
Treanor, Darren
LTHT Department
Pathology
National Pathology Imaging Cooperative
Research & Innovation
Corporate Services
Histopathology
National Pathology Imaging Cooperative
Research & Innovation
Corporate Services
Histopathology
Non Medic
Digital Pathology Scientist
Chief Scientific Officer
Chief Scientific Officer
Publication Date
2025
Item Type
Journal Article
Language
Subject
Subject Headings
Abstract
Hematoxylin and eosin (H&E) staining accounts for over 80% of slides stained worldwide. Although routinely used, there are high levels of variation between labs due to different staining methods. Staining is a pivotal part of slide preparation, but quality control is largely subjective, with overall clinical assurance provided by external quality assessment (EQA) services, underpinned by expert assessment. Digital pathology offers the potential to provide objective quantification of stain, through color analysis, to augment EQA assessment. This large-scale study evaluated H&E staining in 247 international labs participating in the UK NEQAS CPT EQA programme. Tissue sections were circulated to each lab to stain using their routine H&E staining protocol. The slides were reviewed by independent expert UK NEQAS CPT assessors, and quantitative digital analysis was conducted, comprising of H&E color deconvolution and color difference determination (DELTAE). Most labs (69%) achieved an EQA score indicating good or excellent staining, with high inter-observer concordance to support this (92.5% within one mark of each other). H&E color difference, DELTAE, showed 60% of labs were within 2 DELTAE of the mean, which is considered as only perceptible through close observation. There was little correlation found between H&E intensity and assessor score, however, the H&E intensity ratio indicated a trend with assessor score suggesting there may be an optimal stain relationship that should be investigated further. The presented hybrid analysis combines expert analysis with objective data. This has the potential to inform upon optimal tissue staining and allows us to consider quantitative standards of H&E staining in pathology practice.
Journal
Journal of Pathology Informatics