Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.

ABSTRACT:

Background

Gleason grading of prostate cancer is an important prognostic factor, but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par with expert pathologists, it remains an open question whether and to what extent A.I. grading translates to better prognostication.

Methods

In this study, we developed a system to predict prostate cancer-specific mortality via A.I.-based Gleason grading and subsequently evaluated its ability to risk-stratify patients on an independent retrospective cohort of 2807 prostatectomy cases from a single European center with 5-25 years of follow-up (median: 13, interquartile range 9-17).

Results

Here, we show that the A.I.

SUBMITTER: Wulczyn E 

PROVIDER: S-EPMC9053226 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature