A2 Refereed review article in a scientific journal
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps
Authors: Kartasalo Kimmo, Bulten Wouter, Delahunt Brett, Chen Po-Hsuan Cameron, Pinckaers Hans, Olsson Henrik, Ji Xiaoyi, Mulliqi Nita, Samaratunga Hemamali, Tsuzuki Toyonori, Lindberg Johan, Rantalainen Mattias, Wählby Carolina, Litjens Geert, Ruusuvuori Pekka, Egevad Lars, Eklund Martin
Publication year: 2021
Journal: European Urology Focus
Journal name in source: European urology focus
Journal acronym: Eur Urol Focus
Volume: 7
Issue: 4
First page : 687
Last page: 691
ISSN: 2405-4569
eISSN: 2405-4569
DOI: https://doi.org/10.1016/j.euf.2021.07.002
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/66879438
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.
Downloadable publication This is an electronic reprint of the original article. |