En-block butterfly excision of posterior compartment deep endometriosis: The first experience with the new surgical robot Hugo™ RAS

Author:

Pavone M,Goglia M,Campolo F,Scambia G,Ianieri M.M.

Abstract

Background: Minimally invasive surgery is the gold standard treatment for deep endometriosis when medical management fails. In selected cases, such as when bowel or urinary tract are involved, robotic assisted surgery can be useful due to its characteristics of high dexterity and manoeuvrability. This is the first case of robotic en-bloc excision of posterior compartment deep endometriosis performed with the new HugoTM RAS system. Objective: The purpose of this video article is to show for the first time the feasibility of bowel surgery for deep endometriosis with this new robotic device. Materials and methods: A 24-years-old woman affected by severe dysmenorrhea, chronic pelvic pain, dyschezia and dyspareunia underwent to deep endometriosis excision using the new robotic platform HugoTM RAS system at the Unit of Gynaecological Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy. Main outcome measures: Intraoperative data, docking set up, post-operative outcomes up to three months follow up were evaluated. Results: The surgical procedure was carried out without intra-operative or post-operative complications, operative time (OT) was 200 minutes, while docking time was 8 minutes. No system errors or faults in the robotic arms were registered. Post-operative complete disease-related symptoms relief was reported. Conclusion: According to our results, the introduction of this new robotic platform in the surgical management of deep endometriosis seems to be feasible, especially in advanced cases. However, further studies are needed to demonstrate the benefits of this surgical system and the advantages of robotic surgery compared to laparoscopy in this subset of patients.

Publisher

Universa BV

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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