Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology
Kaan Ozbozduman,
Irem Loc,
Selahattin Durmaz
et al.
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 of 95 patients with prostate cancer diagnosed by MRGB was conducted where all patients had undergone RP. Among the patients, 64.2% had consistent GG results between in-bore biopsies and RP, whereas 28.4% had upgraded and 7.4%… Show more
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