Retrospective analysis of the learning curve in perineal robot‐assisted prostate biopsy

Magnetic resonance imaging-transrectal ultrasound (MRI-TRUS)-fusion biopsy (FBx) of the prostate allows targeted sampling of suspicious lesions within the prostate, identified by multiparametric MRI. Due to its reliable results and feasibility, perineal MRI/TRUS FBx is now the gold standard for prostate cancer (PC) diagnosis. There are various systems for performing FBx on the market, for example, software-based, semirobotic, or robot-assisted platform solutions. Their semiautomated workflow promises high process quality independent of the surgeon's experience. The aim of this study was to analyze how the surgeon's experience influences the cancer detection rate (CDR) via targeted biopsy (TB) and the procedure's duration in robot-assisted FBx.