Planning and performing simultaneous bariatric surgery and robotic hysterectomy in a super-obese patient with endometrial cancer

对一名患有子宫内膜癌的极度肥胖患者,计划并实施同步减重手术和机器人辅助子宫切除术。

阅读:1

Abstract

Endometrial cancer (EC) is the most common gynecological malignancy in developed countries, and endometrial intraepithelial neoplasia (EIN) is the defined precancerous lesion. Obesity is considered a risk factor for both EC and EIN. On the other hand, mortality is often attributed to obesity-related conditions in patients with early-stage EC. Bariatric surgery has been shown to improve oncological outcomes and obesity-related morbidity and mortality in patients with EC. Therefore, combination surgery addressing both uterine disease and obesity is a very recent point of interest. Here, we present a video article to demonstrate the crucial surgical steps for a simultaneous robotic-assisted total laparoscopic hysterectomy and sleeve gastrectomy in a patient with super obesity and EIN. A patient in her 40s with a body mass index of 62.4 kg/m² and a diagnosis of EIN was scheduled for combo surgery. The operation started with sleeve gastrectomy in the reverse Trendelenburg position. The da Vinci Xi Surgical System™ (Intuitive Surgical Inc., Sunnyvale, CA, USA) with left-side docking was used for surgery. After the mobilization of the stomach, gastric resection was performed using a stapler. Following sleeve gastrectomy, the patient was positioned in the Trendelenburg position, and the robotic system was positioned for hysterectomy. Hysterectomy and salpingectomy were performed. The excised stomach and hysterectomy material were removed through the vagina. A frozen examination revealed EC below 2 cm with superficial invasion, and bilateral oophorectomy was performed. The whole surgery took approximately 4 hours. No postoperative complications occurred, and the patient was discharged on the 3rd day.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。