Learning curve for robot-assisted Ivor Lewis esophagectomy.

Journal: Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus
Published Date:

Abstract

This study aimed to demonstrate the learning curve of robot-assisted minimally invasive esophagectomy (RAMIE). A retrospective analysis of the first 124 consecutive patients who underwent RAMIE with intrathoracic anastomosis (Ivor Lewis) by a single surgeon between May 2015 and August 2020 was performed. An risk-adjusted cumulative sum (RA-CUSUM) analysis was applied to generate a learning curve of RAMIE considering the major complication rate, which reflected the technical proficiency. The overall 30-day morbidity rate was 38.7%, while the major complication rate was 25.8%. The learning curve was divided into two phases based on the RA-CUSUM analysis: phase I, the initial learning phase (cases 1-51) and phase II, the proficiency phase (cases 52-124). As we compared the proficiency phase with the initial learning phase, significantly decreased trends were observed in relation to the major complication rate (37.3% vs. 18.7%, P = 0.017), total operation time (330.9 ± 55.6 vs. 267.3 ± 39.1 minutes, P < 0.001), and length of hospitalization (10 [IQR, 9-14] days vs. 9 [IQR, 8-11] days, P = 0.034). In conclusion, the learning curve of RAMIE consisted of two phases, and at least 51 cases were required to gain technical proficiency.

Authors

  • Yu Han
    Department of Neurology, The First Affiliated Hospital, Dalian Medical University, Dalian, China.
  • Yajie Zhang
    College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shanxi, China.
  • Wentian Zhang
    Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jie Xiang
    College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China.
  • Kai Chen
    Department of Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fuzhou, Fujian, China.
  • Maosheng Huang
    Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Hecheng Li
    Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai xxxx, China.