Analysis of surgical outcomes and learning curve of surgical parameters for robotic hysterectomy: a comparison between multiport versus single-site

Abstract

Introduction: The primary goal is to analyze the learning curve of surgical parameters (docking, operation and console time) between multiport and single-site robotic hysterectomy techniques, performed by expert laparoscopic surgeons.

Material and methods: The trial is a retrospective analysis of 229 patients enrolled between 2010 and 2018 who underwent robotic hysterectomies with bilateral salpingo-oophorectomies (HBSO) for gynecological diseases.

Results: Surgical parameters, learning curve and surgical outcomes were analyzed in order to evaluate the transition from multiport to single-site programs, performed by non-expert surgeons using the multiport technique. All surgical times (total, docking and console time) were shorter in the multiport robotic hysterectomy group, while the intraoperative complication rate was lower in the robotic single-site hysterectomy group (p = 0.007). The learning curve of operative, console and docking time significantly decreased more in the robotic-single site hysterectomy group, than in the multiport robotic hysterectomy group over time (p value < 0.001).

Conclusions: The direct transition from the laparoscopy program to the single-site approach is feasible and effective in HBSO performed by expert laparoscopic surgeons. The learning curve of robotic single-site hysterectomy shows that the proficiency in this technique requires more cases than the multiport robotic hysterectomy cases and needs more time to fit the surgical step to the single-site platform.

Keywords:

• Laparoscopy
• learning curve
• robotic hysterectomy
• single-site

Declaration of interest

No potential conflict of interest was reported by the author(s).