Single-Port Robotic Radical Prostatectomy: Short-Term Outcomes and Learning Curve.

Introduction and Objective: In 2018, the U.S. Food and Drug Administration approved the da Vinci single-port (SP) system, in which four instruments are still utilized, but enter through a single-site access trocar. Herein, we report the largest case series for SP robot-assisted radical prostatectomy (RARP) to date. Our primary aim is to analyze the perioperative and short-term outcomes of this procedure. Our secondary aim is an assessment of the learning curve with this new platform. Methods: A total of 157 patients underwent SP RARP by two surgeons who have completed >3000 multiport robotic surgeries collectively. Institutional Review Board-approved prospectively collected data were used. Basic demographic preoperative variables and perioperative outcomes were analyzed. Results: Median patient age and prostate-specific antigen was 63 years and 6.3 ng/mL before treatment (interquartile range [IQR] 4.7-8.2 ng/mL). Average prostate weight was 47 g. The median operating time was 195 minutes (IQR 165-221.25 minutes) with a median estimated blood loss of 100 mL (IQR 100-200 mL). Surgeon 1's operating time stabilized around case #56, and Surgeon 2 around case #26. Surgeon 2 used the transperitoneal approach for the first 7 cases. There were no intraoperative complications. There were six total postoperative complications (3.8%) and four (2.5%) were Clavien-Dindo scale ≥IIIa. One hundred ten patients went home same day, 45 stayed 1 night at the hospital, with only 2 patients requiring stay in the hospital for more than 1 night (70%, 29%, and 1% respectively). With the median follow-up period of 9 months, rates of biochemical recurrence, pad-free, and potency preservation were 8.3%, 82.5%, and 64.4%, respectively. Conclusions: This case series confirms the safety and efficacy of SP RARP with acceptable short-term outcomes. There is a significant learning curve for this new modality. Shorter hospital stay appears to be an early benefit of the SP platform.