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European Urology, Volume 85, Supplement 1, 2024
Authors
: F. Cianflone, B. Maris, V. Alessandro, F. Artoni, F. Montanaro, G. Pettenuzzo, M.A. Cerruto, P. Fiorini, A. Antonelli

The role of prostate segmentation through AI is to automatize fusion biopsies procedures. Real-time segmentation of the prostate could allow prostate tracking during the procedure, compensating both ultrasound (US) probe and patients movements. Here we present a data processing pipeline and AI for autonomous fusion during transperineal prostate biopsies.

Prostate. 2024 Jun 2.
Authors
Himmelsbach R, Hackländer A, Weishaar M, Morlock J, Schoeb D, Jilg C, Gratzke C, Grabbert M, Sigle A.
DOI: 10.1002/pros.24753

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 semiauto-mated 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.