Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology

Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology

Abstract This study aimed to enhance the accuracy of Gleason grade group (GG) upgrade prediction in prostate cancer (PCa) patients who underwent MRI-guided in-bore biopsy (MRGB) and radical prostatectomy (RP) through a combined analysis of prebiopsy and MRGB clinical data. A retrospective analysis o...

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Bibliographic Details
Main Authors: Kaan Ozbozduman, Irem Loc, Selahattin Durmaz, Duygu Atasoy, Mert Kilic, Hakan Yildirim, Tarik Esen, Metin Vural, M. Burcin Unlu
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-56415-5

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