Skip to main content

Research Repository

Advanced Search

Digital pathology for reporting histopathology samples, including cancer screening samples – definitive evidence from a multisite study

Azam, Ayesha S; Tsang, Yee‐Wah; Thirlwall, Jenny; Kimani, Peter K; Sah, Shatrughan; Gopalakrishnan, Kishore; Boyd, Clinton; Loughrey, Maurice B; Kelly, Paul J; Boyle, David P; Salto‐Tellez, Manuel; Clark, David; Ellis, Ian O; Ilyas, Mohammad; Rakha, Emad; Bickers, Adam; Roberts, Ian S D; Soares, Maria F; Neil, Desley A H; Takyi, Abi; Raveendran, Sinthuri; Hero, Emily; Evans, Harriet; Osman, Rania; Fatima, Khunsha; Hughes, Rhian W; McIntosh, Stuart A; Moran, Gordon W; Ortiz‐Fernandez‐Sordo, Jacobo; Rajpoot, Nasir M; Storey, Ben; Ahmed, Imtiaz; Dunn, Janet A; Hiller, Louise; Snead, David R J

Digital pathology for reporting histopathology samples, including cancer screening samples – definitive evidence from a multisite study Thumbnail


Authors

Ayesha S Azam

Yee‐Wah Tsang

Jenny Thirlwall

Peter K Kimani

Shatrughan Sah

Kishore Gopalakrishnan

Clinton Boyd

Maurice B Loughrey

Paul J Kelly

David P Boyle

Manuel Salto‐Tellez

David Clark

EMAD RAKHA Emad.Rakha@nottingham.ac.uk
Professor of Breast Cancer Pathology

Adam Bickers

Ian S D Roberts

Maria F Soares

Desley A H Neil

Abi Takyi

Sinthuri Raveendran

Emily Hero

Harriet Evans

Rania Osman

Khunsha Fatima

Rhian W Hughes

Stuart A McIntosh

GORDON MORAN GORDON.MORAN@NOTTINGHAM.AC.UK
Professor of Gastroenterology

Jacobo Ortiz‐Fernandez‐Sordo

Nasir M Rajpoot

Ben Storey

Imtiaz Ahmed

Janet A Dunn

Louise Hiller

David R J Snead



Abstract

Aims: To conduct a definitive multicentre comparison of digital pathology (DP) with light microscopy (LM) for reporting histopathology slides including breast and bowel cancer screening samples.
Methods: A total of 2024 cases (608 breast, 607 GI, 609 skin, 200 renal) were studied, including 207 breast and 250 bowel cancer screening samples. Cases were examined by four pathologists (16 study pathologists across the four speciality groups), using both LM and DP, with the order randomly assigned and 6 weeks between viewings. Reports were compared for clinical management concordance (CMC), meaning identical diagnoses plus differences which do not affect patient management. Percentage CMCs were computed using logistic regression models with crossed random‐effects terms for case and pathologist. The obtained percentage CMCs were referenced to 98.3% calculated from previous studies.
Results: For all cases LM versus DP comparisons showed the CMC rates were 99.95% [95% confidence interval (CI) = 99.90–99.97] and 98.96 (95% CI = 98.42–99.32) for cancer screening samples. In speciality groups CMC for LM versus DP showed: breast 99.40% (99.06–99.62) overall and 96.27% (94.63–97.43) for cancer screening samples; [gastrointestinal (GI) = 99.96% (99.89–99.99)] overall and 99.93% (99.68–99.98) for bowel cancer screening samples; skin 99.99% (99.92–100.0); renal 99.99% (99.57–100.0). Analysis of clinically significant differences revealed discrepancies in areas where interobserver variability is known to be high, in reads performed with both modalities and without apparent trends to either.
Conclusions: Comparing LM and DP CMC, overall rates exceed the reference 98.3%, providing compelling evidence that pathologists provide equivalent results for both routine and cancer screening samples irrespective of the modality used.

Citation

Azam, A. S., Tsang, Y., Thirlwall, J., Kimani, P. K., Sah, S., Gopalakrishnan, K., …Snead, D. R. J. (2024). Digital pathology for reporting histopathology samples, including cancer screening samples – definitive evidence from a multisite study. Histopathology, 84(5), 847-862. https://doi.org/10.1111/his.15129

Journal Article Type Article
Acceptance Date Dec 13, 2023
Online Publication Date Jan 17, 2024
Publication Date 2024-04
Deposit Date Feb 28, 2024
Publicly Available Date Feb 29, 2024
Journal Histopathology
Print ISSN 0309-0167
Electronic ISSN 1365-2559
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 84
Issue 5
Pages 847-862
DOI https://doi.org/10.1111/his.15129
Keywords digital imaging, validation, whole slides image, discordance, digital pathology, diagnosis
Public URL https://nottingham-repository.worktribe.com/output/30106087
Additional Information Received: 2023-07-31; Accepted: 2023-12-13; Published: 2024-01-17

Files

Histopathology - 2024 - Azam - Digital pathology for reporting histopathology samples including cancer screening samples (919 Kb)
PDF

Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/

Copyright Statement
Histopathology© 2024 The Authors. Histopathology published by John Wiley & Sons Ltd.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.




You might also like



Downloadable Citations