Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/45807
Title: Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Authors: BULTEN, WouterBALKENHOL, MaschenkaBELINGA, Jean-Joel AwoumouBRILHANTE, AmericoCAKIR, AsliEGEVAD, LarsEKLUND, MartinFARRE, XavierGERONATSIOU, KaterinaMOLINIE, VincentPEREIRA, GuilhermeROY, ParomitaSAILE, GunterSALLES, PauloSCHAAFSMA, EwoutTSCHUI, JoelleVOS, Anne-MarieBOVEN, Hester vanVINK, RobertLAAK, Jeroen van derKAA, Christina Hulsbergen-van derLITJENS, Geert
Citation: MODERN PATHOLOGY, v.34, n.3, p.660-671, 2021
Abstract: The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve pathologist-level performance at Gleason grading. However, the performance of such systems can degrade in the presence of artifacts, foreign tissue, or other anomalies. Pathologists integrating their expertise with feedback from an AI system could result in a synergy that outperforms both the individual pathologist and the system. Despite the hype around AI assistance, existing literature on this topic within the pathology domain is limited. We investigated the value of AI assistance for grading prostate biopsies. A panel of 14 observers graded 160 biopsies with and without AI assistance. Using AI, the agreement of the panel with an expert reference standard increased significantly (quadratically weighted Cohen's kappa, 0.799 vs. 0.872;p = 0.019). On an external validation set of 87 cases, the panel showed a significant increase in agreement with a panel of international experts in prostate pathology (quadratically weighted Cohen's kappa, 0.733 vs. 0.786;p = 0.003). In both experiments, on a group-level, AI-assisted pathologists outperformed the unassisted pathologists and the standalone AI system. Our results show the potential of AI systems for Gleason grading, but more importantly, show the benefits of pathologist-AI synergy.
Appears in Collections:

Artigos e Materiais de Revistas Científicas - FM/MCG
Departamento de Cirurgia - FM/MCG

Artigos e Materiais de Revistas Científicas - LIM/55
LIM/55 - Laboratório de Urologia

Artigos e Materiais de Revistas Científicas - ODS/03
ODS/03 - Saúde e bem-estar


Files in This Item:
File Description SizeFormat 
art_BULTEN_Artificial_intelligence_assistance_significantly_improves_Gleason_grading_of_2021.PDF
  Restricted Access
publishedVersion (English)1.97 MBAdobe PDFView/Open Request a copy

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.