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Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging

The development of artificial intelligence–based imaging techniques for prostate cancer (PCa) detection and diagnosis requires a reliable ground truth, which is generally based on histopathology from radical prostatectomy specimens. This study proposes a comprehensive protocol for the annotation of...

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Autores principales: Jager, Auke, Postema, Arnoud W., van der Linden, Hans, Nooijen, Peet T.G.A., Bekers, Elise, Kweldam, Charlotte F., Daures, Gautier, Zwart, Wim, Mischi, M., Beerlage, Harrie P., Oddens, Jorg R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412486/
https://www.ncbi.nlm.nih.gov/pubmed/37407736
http://dx.doi.org/10.1007/s00428-023-03589-4
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author Jager, Auke
Postema, Arnoud W.
van der Linden, Hans
Nooijen, Peet T.G.A.
Bekers, Elise
Kweldam, Charlotte F.
Daures, Gautier
Zwart, Wim
Mischi, M.
Beerlage, Harrie P.
Oddens, Jorg R.
author_facet Jager, Auke
Postema, Arnoud W.
van der Linden, Hans
Nooijen, Peet T.G.A.
Bekers, Elise
Kweldam, Charlotte F.
Daures, Gautier
Zwart, Wim
Mischi, M.
Beerlage, Harrie P.
Oddens, Jorg R.
author_sort Jager, Auke
collection PubMed
description The development of artificial intelligence–based imaging techniques for prostate cancer (PCa) detection and diagnosis requires a reliable ground truth, which is generally based on histopathology from radical prostatectomy specimens. This study proposes a comprehensive protocol for the annotation of prostatectomy pathology slides. To evaluate the reliability of the protocol, interobserver variability was assessed between five pathologists, who annotated ten radical prostatectomy specimens consisting of 74 whole mount pathology slides. Interobserver variability was assessed for both the localization and grading of PCa. The results indicate excellent overall agreement on the localization of PCa (Gleason pattern ≥ 3) and clinically significant PCa (Gleason pattern ≥ 4), with Dice similarity coefficients (DSC) of 0.91 and 0.88, respectively. On a per-slide level, agreement for primary and secondary Gleason pattern was almost perfect and substantial, with Fleiss Kappa of .819 (95% CI .659–.980) and .726 (95% CI .573–.878), respectively. Agreement on International Society of Urological Pathology Grade Group was evaluated for the index lesions and showed agreement in 70% of cases, with a mean DSC of 0.92 for all index lesions. These findings show that a standardized protocol for prostatectomy pathology annotation provides reliable data on PCa localization and grading, with relatively high levels of interobserver agreement. More complicated tissue characterization, such as the presence of cribriform growth and intraductal carcinoma, remains a source of interobserver variability and should be treated with care when used in ground truth datasets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00428-023-03589-4.
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spelling pubmed-104124862023-08-11 Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging Jager, Auke Postema, Arnoud W. van der Linden, Hans Nooijen, Peet T.G.A. Bekers, Elise Kweldam, Charlotte F. Daures, Gautier Zwart, Wim Mischi, M. Beerlage, Harrie P. Oddens, Jorg R. Virchows Arch Original Article The development of artificial intelligence–based imaging techniques for prostate cancer (PCa) detection and diagnosis requires a reliable ground truth, which is generally based on histopathology from radical prostatectomy specimens. This study proposes a comprehensive protocol for the annotation of prostatectomy pathology slides. To evaluate the reliability of the protocol, interobserver variability was assessed between five pathologists, who annotated ten radical prostatectomy specimens consisting of 74 whole mount pathology slides. Interobserver variability was assessed for both the localization and grading of PCa. The results indicate excellent overall agreement on the localization of PCa (Gleason pattern ≥ 3) and clinically significant PCa (Gleason pattern ≥ 4), with Dice similarity coefficients (DSC) of 0.91 and 0.88, respectively. On a per-slide level, agreement for primary and secondary Gleason pattern was almost perfect and substantial, with Fleiss Kappa of .819 (95% CI .659–.980) and .726 (95% CI .573–.878), respectively. Agreement on International Society of Urological Pathology Grade Group was evaluated for the index lesions and showed agreement in 70% of cases, with a mean DSC of 0.92 for all index lesions. These findings show that a standardized protocol for prostatectomy pathology annotation provides reliable data on PCa localization and grading, with relatively high levels of interobserver agreement. More complicated tissue characterization, such as the presence of cribriform growth and intraductal carcinoma, remains a source of interobserver variability and should be treated with care when used in ground truth datasets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00428-023-03589-4. Springer Berlin Heidelberg 2023-07-06 2023 /pmc/articles/PMC10412486/ /pubmed/37407736 http://dx.doi.org/10.1007/s00428-023-03589-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Jager, Auke
Postema, Arnoud W.
van der Linden, Hans
Nooijen, Peet T.G.A.
Bekers, Elise
Kweldam, Charlotte F.
Daures, Gautier
Zwart, Wim
Mischi, M.
Beerlage, Harrie P.
Oddens, Jorg R.
Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging
title Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging
title_full Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging
title_fullStr Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging
title_full_unstemmed Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging
title_short Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging
title_sort reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412486/
https://www.ncbi.nlm.nih.gov/pubmed/37407736
http://dx.doi.org/10.1007/s00428-023-03589-4
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