Division of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-Gu, Seoul, 03722, Korea.
Surg Endosc. 2021 Feb;35(2):770-778. doi: 10.1007/s00464-020-07445-3. Epub 2020 Feb 13.
Although studies of robotic rectal cancer surgery have demonstrated the effects of learning on operation time, comparisons have failed to demonstrate differences in clinicopathological outcomes between unadjusted learning phases. This study aimed to investigate the learning curve of robotic rectal cancer surgery for clinicopathological outcomes and compare surgical outcomes between adjusted learning phases. Study design We enrolled 506 consecutive patients with rectal adenocarcinoma who underwent robotic resection by a single surgeon between 2007 and 2018. Risk-adjusted cumulative sum (RA-CUSUM) for surgical failure was used to analyze the learning curve. Surgical failure was defined as the occurrence of any of the following: conversion to open surgery, severe complications (Clavien-Dindo grade ≥ 3a), insufficient number of harvested lymph nodes (LNs), or R1 resection. Comparisons between learning phases analyzed by RA-CUSUM were performed before and after propensity score matching.
In RA-CUSUM analysis, the learning curve was divided into two learning phases: phase 1 (1st-177th cases, n = 177) and phase 2 (178th-506th cases, n = 329). Before matching, patients in phase 2 had deeper tumor invasion and higher rates of positive LNs on pretreatment images and preoperative chemoradiotherapy. After matching, phase 1 (n = 150) and phase 2 (n = 150) patients exhibited similar clinical characteristics. Phase 2 patients had lower rates of surgical failure overall and these components: conversion to open surgery, severe complications, and insufficient harvested LNs.
For robotic rectal cancer surgery, surgical outcomes improved after the 177th case. Further studies by other robotic surgeons are required to validate our results.
虽然机器人直肠癌手术的研究已经证明了学习对手术时间的影响,但比较未调整学习阶段的临床病理结果未能显示出差异。本研究旨在探讨机器人直肠癌手术的学习曲线对临床病理结果的影响,并比较调整学习阶段的手术结果。
我们纳入了 2007 年至 2018 年间由一名外科医生行机器人直肠切除术的 506 例连续直肠腺癌患者。采用风险调整累积和(RA-CUSUM)来分析手术失败的学习曲线。手术失败定义为发生以下任何一种情况:转为开放手术、严重并发症(Clavien-Dindo 分级≥3a)、淋巴结(LNs)采集不足或 R1 切除。RA-CUSUM 分析比较了学习阶段之前和之后的倾向评分匹配。
在 RA-CUSUM 分析中,学习曲线分为两个学习阶段:第 1 阶段(第 1 例至第 177 例,n=177)和第 2 阶段(第 178 例至第 506 例,n=329)。在匹配之前,第 2 阶段的患者术前影像和术前放化疗时肿瘤侵袭更深,阳性 LNs 比例更高。匹配后,第 1 阶段(n=150)和第 2 阶段(n=150)患者的临床特征相似。第 2 阶段患者的整体手术失败率较低,且以下各组成部分的手术失败率也较低:转为开放手术、严重并发症和 LN 采集不足。
对于机器人直肠癌手术,第 177 例手术后手术结果有所改善。需要其他机器人外科医生进行进一步的研究来验证我们的结果。