Objective:To evaluate the learning curve of robot-assisted minimally invasive esophagectomy(RAMIE).Methods:The clinical data of 35 patients with esophageal cancer who underwent RAMIE by the same surgical team from November 2019 to December 2022 was retrospectively analyzed.The cumulative sum(CUSUM)approach was employed to study the learning curve of RAMIE.Operat-ing time,blood loss,number of dissected lymph nodes,postoperative hospital stay,and incidence rate of postoperative complications were analyzed.Results:The CUSUM learning curve was success-fully constructed,and the best-fit equation was obtained.The coefficient of determination(R2)was 0.930(P＜0.001),indicating a good fit.The curve showed a vertex crossing when the number of cas-es reached 16.Based on this,35 patients were divided into a learning and improving stage and a mas-tering stage.The operating time,blood loss,postoperative drainage volume,postoperative catheter time,postoperative hospital stay,and number of patients transferred to the ICU postoperatively in stage B were significantly better than those in stage A(P＜0.05).In contrast,there was no significant difference in the incidence of surgical complications between stage A and stage B(P=0.127).Con-clusion:It is demonstrated that physicians who perform RAMIE can attain satisfactory outcomes when they have conducted a cumulative total of 16 surgical cases.
Robotic-Assisted Minimally Invasive EsophagectomyEsophageal CancerCumu-lative Sum AnalysisLearning Curve
NETL
NSTL
万方数据
