Ayesha S Azam
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
Authors
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
Ian O Ellis
MOHAMMAD ILYAS mohammad.ilyas@nottingham.ac.uk
Professor of Pathology
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 |
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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.
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