Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve

World Journal of Surgical Oncology

Research

Zhenrong Zhang¹  Hongxiang Feng¹  Huanshun Wen¹  Chaoyang Liang¹  Fei Xiao¹  Kunsong Su¹  Yu Han¹  Deruo Liu¹ 

[1]Department of General Thoracic Surgery, China-Japan Friendship Hospital, No. 2 Yinghua East Road, 100029, Chaoyang District, Beijing, China

[2]National Center for Respiratory Medicine, Beijing, People’s Republic of China

关键词: ;   

DOI  :  10.1186/s12957-023-03086-7

 received in 2023-01-12, accepted in 2023-06-28,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundThis study aimed to demonstrate the learning curve of anatomical segmentectomy performed by uniportal video-assisted thoracoscopic surgery (U-VATS).MethodWe conducted a retrospective study of U-VATS segmentectomies performed by the same surgeon between September 2019 and August 2022. The learning curve was demonstrated using risk-adjusted cumulative sum (RA-CUSUM) analysis in terms of perioperative complications, which reflected surgical quality and technique proficiency. The surgical outcomes were also compared between different phases.ResultThe complication-based learning curve of U-VATS segmentectomy could be divided into two phases based on RA-CUSUM analysis: phase I, the initial learning phase (cases 1–50) and phase II, the proficiency phase (cases 51–141). Significantly higher complication rates (24.0 vs. 8.8%, p=0.013), longer surgical times (119.8±31.9 vs. 106.2±23.8 min, p=0.005), and more blood loss (20 [IQR, 20–30] vs. 20 [IQR, 10–20] ml, p=0.003) were observed in phase I than in phase II.ConclusionThe learning curve of U-VATS segmentectomy consists of two phases, and at least 50 cases were required to gain technique proficiency and achieve high-quality surgical outcomes.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023. corrected publication 2023

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