Learning curve of intracorporeal anastomosis in laparoscopic colectomy for right side colon cancer: a cumulative sum analysis

Author:

Ishizaki Tetsuo1,Mazaki Junichi1,Kasahara Kenta1,Tago Tomoya1,Udo Ryutaro1,Nagakawa Yuichi1

Affiliation:

1. Tokyo Medical University

Abstract

Abstract Purpose: Recently, laparoscopic colectomy with intracorporeal anastomosis for colon cancer has gained popularity due to evolution of the laparoscopic linear stapler device and improved techniques from laparoscopic surgeons. However, there are technical difficulties associated with intracorporeal anastomosis. To clarify the number of cases that are required for laparoscopic surgeons to master the technique of intracorporeal anastomosis in right side colon cancer. Methods:In this retrospective single-center study, 51 consecutive patients who underwent intracorporeal overlap anastomosis, between July 2018 and March 2020, by one laparoscopic surgeon were selected. Clinicopathological and perioperative data were obtained from our database. The learning curves of intracorporeal anastomosis time (IAT) was created using the cumulative sum (CUSUM) method. Results: The CUSUM score for IAT increased as the number of operative cases progressed, up to the 20th case (Phase 1), after which it started to decrease (Phase 2). Compared to the initial learning phase (Phase 1), the master phase (Phase 2) had a significantly faster IAT (p < 0.001), significantly decreased incidence of organ/space surgical site infection (p = 0.009), and significantly decreased postoperative hospital stay (p = 0.021). Conclusion:In our study, 20 cases were required for a laparoscopic surgeon to achieve expertise when conducting intracorporeal anastomosis in laparoscopic colectomy for right side colon cancer. It was suggested that proficiency in intracorporeal anastomosis may contribute to a reduction in the incidence of organ/space surgical site infections and postoperative hospital stay.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3