Enrico Checcucci, Gabriele Bignante, Gabriele Volpi, Saverio Liguori, Paolo Alessio, Michele Sica, Michele Ortenzi, Daniele Amparore, Alessandra Saliva, Alberto Piana, Stefano De Luca, Alessandro Cerutti, Francesco Porpiglia
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引用次数: 0
Abstract
The Mona Lisa 2.0 robotic platform integrates MRI/ultrasound fusion, AI-based prostate segmentation, and automated needle trajectory planning to optimize transperineal targeted biopsy (TB) precision. We report the first European experience in 10 consecutive patients undergoing robot-assisted TB, with optional systematic cores. Clinically significant prostate cancer was detected in all rTB procedures. Standard cores added limited diagnostic yield and mainly sampled perilesional “penumbra” areas. Mean biopsy duration was 12.9 min, no peri- or post-procedural complications occurred, and high-quality tissue samples were consistently obtained. These preliminary data confirm feasibility, safety, and reproducibility of Mona Lisa 2.0 robotic platform, as a new kid on the block in urologic robotic armamentarium.
期刊介绍:
Prostate Cancer and Prostatic Diseases covers all aspects of prostatic diseases, in particular prostate cancer, the subject of intensive basic and clinical research world-wide. The journal also reports on exciting new developments being made in diagnosis, surgery, radiotherapy, drug discovery and medical management.
Prostate Cancer and Prostatic Diseases is of interest to surgeons, oncologists and clinicians treating patients and to those involved in research into diseases of the prostate. The journal covers the three main areas - prostate cancer, male LUTS and prostatitis.
Prostate Cancer and Prostatic Diseases publishes original research articles, reviews, topical comment and critical appraisals of scientific meetings and the latest books. The journal also contains a calendar of forthcoming scientific meetings. The Editors and a distinguished Editorial Board ensure that submitted articles receive fast and efficient attention and are refereed to the highest possible scientific standard. A fast track system is available for topical articles of particular significance.