Study on learning curve of Da Vinci robotic segmentectomy
- VernacularTitle:达芬奇机器人肺段切除术的学习曲线研究
- Author:
Boxiao HU
1
;
Shiguang XU
1
;
Bo LIU
1
;
Wei XU
1
;
Qiong WU
1
;
Xingchi LIU
1
;
Renquan DING
1
;
Yuchi XIU
1
;
Ming CHENG
1
;
Shumin WANG
1
Author Information
1. Department of Thoracic Surgery, General Hospital of Northern Theater Command, Shenyang, 110016, P. R. China
- Publication Type:Journal Article
- Keywords:
Da Vinci robot;
segmentectomy;
cumulative sum analysis;
learning curve
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2024;31(05):689-694
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the learning curve of Da Vinci robotic segmentectomy. Methods Cumulative sum analysis (CUSUM) was used to analyze the learning curve of Da Vinci robotic segmentectomy performed by the General Hospital of Northern Theater Command from February 2018 to December 2020. The learning curve was obtained by fitting, and R2 was used to judge the goodness of fitting. The clinical data of patients in different stages of learning curve were compared and analyzed. Results The first 50 patients who received Da Vinci robotic segmentectomy were included, including 24 males and 26 females, with an average age of 61.9±10.6 years. The operation time decreased gradually with the accumulation of operation patients. The goodness of fitting coefficient reached the maximum value when R2=0.907 (P<0.001), CUSUM (n) =0.009×n3−0.953×n2+24.968×n−7.033 (n was the number of patients). The fitting curve achieved vertex crossing when the number of patients reached 17. Based on this, 50 patients were divided into two stages: a learning and improving stage and a mastering stage. There were statistical differences in the operation time, intraoperative blood loss, postoperative drainage volume, number of lymph node dissection, postoperative catheter time, postoperative hospital stay, and postoperative complications between the two stages (P<0.05). Conclusion It shows that the technical competency for assuring feasible perioperative outcomes can be achieved when the cumulative number of surgical patients reaches 17.
