Wang Yanlei, Wen Dongpeng, Zhang Cheng, Wang Zhikai, Zhang Jiancheng
Department of Gastrointestinal Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China.
Front Oncol. 2023 Jun 27;13:1169932. doi: 10.3389/fonc.2023.1169932. eCollection 2023.
Current expectations are that surgeons should be technically proficient in minimally invasive low anterior resection (LAR)-both laparoscopic and robotic-assisted surgery. However, methods to effectively train surgeons for both approaches are under-explored. We aimed to compare two different training programs for minimally invasive LAR, focusing on the learning curve and perioperative outcomes of two trainee surgeons.
We reviewed 272 consecutive patients undergoing laparoscopic or robotic LAR by surgeons A and B, who were novices in conducting minimally invasive colorectal surgery. Surgeon A was trained by first operating on 80 cases by laparoscopy and then 56 cases by robotic-assisted surgery. Surgeon B was trained by simultaneously performing 80 cases by laparoscopy and 56 by robotic-assisted surgery. The cumulative sum (CUSUM) method was used to evaluate the learning curves of operative time and surgical failure.
For laparoscopic surgery, the CUSUM plots showed a longer learning process for surgeon A than surgeon B (47 vs. 32 cases) for operative time, but a similar trend in surgical failure (23 vs. 19 cases). For robotic surgery, the plots of the two surgeons showed similar trends for both operative times (23 vs. 25 cases) and surgical failure (17 vs. 19 cases). Therefore, the learning curves of surgeons A and B were respectively divided into two phases at the 47th and 32nd cases for laparoscopic surgery and at the 23rd and 25th cases for robotic surgery. The clinicopathological outcomes of the two surgeons were similar in each phase of the learning curve for each surgery.
For surgeons with rich experience in open colorectal resections, simultaneous training for laparoscopic and robotic-assisted LAR of rectal cancer is safe, effective, and associated with accelerated learning curves.
当前的期望是外科医生应在微创低位前切除术(LAR)方面技术熟练,包括腹腔镜手术和机器人辅助手术。然而,有效培训外科医生掌握这两种手术方法的途径尚未得到充分探索。我们旨在比较两种不同的微创LAR培训方案,重点关注两名实习外科医生的学习曲线和围手术期结果。
我们回顾了由外科医生A和B进行腹腔镜或机器人LAR手术的272例连续患者,他们在进行微创结直肠手术方面均为新手。外科医生A先通过腹腔镜手术操作80例,然后进行机器人辅助手术56例来接受培训。外科医生B通过同时进行80例腹腔镜手术和56例机器人辅助手术来接受培训。采用累积和(CUSUM)方法评估手术时间和手术失败的学习曲线。
对于腹腔镜手术,CUSUM图显示外科医生A在手术时间方面的学习过程比外科医生B更长(47例对32例),但在手术失败方面趋势相似(23例对19例)。对于机器人手术,两名外科医生在手术时间(23例对25例)和手术失败方面(17例对19例)的图显示趋势相似。因此,对于腹腔镜手术,外科医生A和B的学习曲线分别在第47例和第32例时分为两个阶段,对于机器人手术则分别在第23例和第25例时分为两个阶段。在每种手术学习曲线的每个阶段,两名外科医生的临床病理结果相似。
对于在开放结直肠切除术中经验丰富的外科医生,同时培训腹腔镜和机器人辅助直肠癌LAR手术是安全、有效的,且学习曲线会加快。