Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps.
Artificial intelligence
Gleason grading
Histopathology
Prostate cancer
Uropathology
Journal
European urology focus
ISSN: 2405-4569
Titre abrégé: Eur Urol Focus
Pays: Netherlands
ID NLM: 101665661
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
received:
05
04
2021
revised:
29
06
2021
accepted:
15
07
2021
pubmed:
17
8
2021
medline:
14
4
2022
entrez:
16
8
2021
Statut:
ppublish
Résumé
Diagnosis and Gleason grading of prostate cancer in biopsies are critical for the clinical management of men with prostate cancer. Despite this, the high grading variability among pathologists leads to the potential for under- and overtreatment. Artificial intelligence (AI) systems have shown promise in assisting pathologists to perform Gleason grading, which could help address this problem. In this mini-review, we highlight studies reporting on the development of AI systems for cancer detection and Gleason grading, and discuss the progress needed for widespread clinical implementation, as well as anticipated future developments. PATIENT SUMMARY: This mini-review summarizes the evidence relating to the validation of artificial intelligence (AI)-assisted cancer detection and Gleason grading of prostate cancer in biopsies, and highlights the remaining steps required prior to its widespread clinical implementation. We found that, although there is strong evidence to show that AI is able to perform Gleason grading on par with experienced uropathologists, more work is needed to ensure the accuracy of results from AI systems in diverse settings across different patient populations, digitization platforms, and pathology laboratories.
Identifiants
pubmed: 34393083
pii: S2405-4569(21)00181-4
doi: 10.1016/j.euf.2021.07.002
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
687-691Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.