World Journal of Surgical Oncology (Jul 2023)

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

  • Yu Han,
  • Zhenrong Zhang,
  • Hongxiang Feng,
  • Huanshun Wen,
  • Kunsong Su,
  • Fei Xiao,
  • Chaoyang Liang,
  • Deruo Liu

DOI
https://doi.org/10.1186/s12957-023-03086-7
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 8

Abstract

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Abstract Background This study aimed to demonstrate the learning curve of anatomical segmentectomy performed by uniportal video-assisted thoracoscopic surgery (U-VATS). Method We 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. Result The 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. Conclusion The 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.