Cumulative Summation Analysis of Learning Curve for Robotic-assisted Hysterectomy in Patients With Gynecologic Tumors

Abstract

Background/Aim: This study aimed to evaluate the learning curve and perioperative outcomes of robot-assisted hysterectomy (RAH). Patients and Methods: We retrospectively analyzed data from 45 patients who underwent RAH using the da Vinci Xi surgical system. The learning curve was evaluated using the cumulative summation method. Demographic data and various perioperative parameters, including total operative time, docking time, and console time, were obtained from the medical records. Results: Cumulative summation analysis indicated that proficiency regarding hysterectomy time was reached after 33 cases. There were two unique phases of the learning curve for console time: the introduction phase identified by the bottom point in the curve, and the proficient phase, identified by an upward line after the bottom point in the curve. There were no significant differences between the two phases in terms of patient age and body mass index. Total operative time, docking time, and console time were significantly decreased in the proficient phase compared with those in the introduction phase. There was a significant reduction in blood loss during operation in the proficient phase. The perioperative complication rates were 12.1% in the introduction phase and 0% in the proficient phase (p=0.5606). No blood transfusion or conversion to laparotomy was required in either phase. Conclusion: The introduction and proficient phases identified by cumulative summation analysis demonstrated progressive improvement of surgical performance in surgeons carrying out RAH.