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    夏天, 王友朋, 孙旭, 李腾腾, 王凯, 付海啸, 符炜. 达芬奇机器人直肠癌根治术学习曲线研究[J]. 徐州医科大学学报, 2023, 43(6): 433-438. DOI: 10.3969/j.issn.2096-3882.2023.06.008
    引用本文: 夏天, 王友朋, 孙旭, 李腾腾, 王凯, 付海啸, 符炜. 达芬奇机器人直肠癌根治术学习曲线研究[J]. 徐州医科大学学报, 2023, 43(6): 433-438. DOI: 10.3969/j.issn.2096-3882.2023.06.008
    XIA Tian, WANG Youpeng, SUN Xu, LI Tengteng, WANG Kai, FU Haixiao, FU Wei. The learning curve of da Vinci robot-assisted radical resection for rectal cancer[J]. Journal of Xuzhou Medical University, 2023, 43(6): 433-438. DOI: 10.3969/j.issn.2096-3882.2023.06.008
    Citation: XIA Tian, WANG Youpeng, SUN Xu, LI Tengteng, WANG Kai, FU Haixiao, FU Wei. The learning curve of da Vinci robot-assisted radical resection for rectal cancer[J]. Journal of Xuzhou Medical University, 2023, 43(6): 433-438. DOI: 10.3969/j.issn.2096-3882.2023.06.008

    达芬奇机器人直肠癌根治术学习曲线研究

    The learning curve of da Vinci robot-assisted radical resection for rectal cancer

    • 摘要: 目的 探讨分析腹腔镜经验丰富的医师达芬奇机器人直肠癌根治术的学习曲线,为达芬奇机器人直肠手术的推广提供参考。方法 回顾性分析2020年8月-2022年3月徐州医科大学附属医院行达芬奇机器人直肠癌根治术病例的临床资料。采用累积和分析法(CUSUM)分析达芬奇机器人直肠癌根治术手术时间并拟合学习曲线,根据学习曲线临界值将达芬奇机器人的学习曲线分为不同阶段。对比不同学习阶段患者的相关资料,并对学习曲线进行分析。结果 最佳拟合曲线方程为:y=0.015 8 x3-2.138 5 x2+69.145 x+161.39,R2=0.968 7,P<0.05,跨越学习曲线所需最少手术例数为20例。根据结果将达芬奇手术学习曲线分为3个阶段,其中肿瘤下缘距肛缘距离以及手术时间差异具有统计学意义(P<0.05)。结论 具备丰富腹腔镜手术经验的医师跨越达芬奇机器人直肠手术学习曲线的手术例数为20例,其学习曲线可以分为3个阶段。

       

      Abstract: Objective To explore the learning curve of da Vinci robot-assisted radical resection for rectal cancer by surgeons with rich experience in laparoscopy, in order to provide reference for promoting the use of da Vinci robot for radical resection of rectal cancer.Methods Clinical data concerning the use of da Vinci robot for radical resection of rectal cancer in the Affiliated Hospital of Xuzhou Medical University from August 2020 to March 2022 were retrospectively analyzed. The duration of operation was evaluated by cumulative sum analysis (CUSUM) to fit a learning curve. According to the critical value of the learning curve, the learning curve of da Vinci robot was divided into different stages. The relevant data of these patients in different learning stages were compared and the learning curve of da Vinci robot for radical resection of rectal cancer was analyzed.Results The optimal curve-fitting equation was y=0.015 8 x3-2.138 5 x2+69.145x+161.39,R2=0.968 7,P<0.05, and the learning curve was achieved after at least 20 surgical cases. According to the results, the learning curve of da Vinci robot-assisted surgery was divided into three stages. There were statistical differences in the distance from the anal edge to the distal edge of the tumor and the duration of operation (P<0.05).Conclusions The learning curve of da Vinci robot-assisted radical resection for rectal cancer by surgeons with rich experience in laparoscopy can be achieved after 20 cases. The learning curve can be divided into three stages.

       

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