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Updated: Mar 15, 2026

Retzius-Sparing Robot-Assisted Radical Prostatectomy
Published on: May 19, 2022
Specific learning curve for port placement and docking of da Vinci(®) Surgical System: one surgeon's experience in
F Dal Moro1, S Secco2, C Valotto1
1Urology Clinic, Department of Oncological and Surgical Sciences, University of Padova, via Giustiniani 2, 35128, Padova, Italy.
Abstract:
Port placement and docking of the da Vinci(®) Surgical System is fundamental in robotic-assisted laparoscopic radical prostatectomy (RALP). The aim of our study was to investigate learning curves for port placement and docking of robots (PPDR) in RALP. This manuscript is a retrospective review of prospectively collected data looking at PPDR in 526 patients who underwent RALP in our institute from April 2005 to May 2010. Data included patient-factor features such as body mass index (BMI), and pre-, intra- and post-operative data. Intra-operative information included operation time, subdivided into anesthesia, PPDR and console times. 526 patients underwent RALP, but only those in whom PPDR was performed by the same surgeon without laparoscopic and robotic experience (F.D.M.) were studied, totalling 257 cases. The PPDR phase revealed an evident learning curve, comparable with other robotic phases. Efficiency improved until approximately the 60th case (P < 0.001), due more to effective port placement than to docking of robotic arms. In our experience, conversion to open surgery is so rare that statistical evaluation is not significant. Conversion due to robotic device failure is also very rare. This study on da Vinci procedures in RALP revealed a learning curve during PPDR and throughout the robotic-assisted procedure, reaching a plateau after 60 cases.

