2023 年 12 月 14 日甘肃省人民医院普外科应用国产图迈 ® 腔镜机器人手术系统完成首例 5G 远程袖状胃切除 手术。手术过程顺利，装机时间 30 min，手术总时长 120 min，操控机器人时间 90 min，出血量 20 mL。术中平均网 络延迟（55.16±25.33）ms，丢包率为 0.01%~0.1%，术中未发生网络中断等网络不良事件。术后未发生并发症。结 果表明，5G 远程机器人辅助袖状胃切除术是安全、有效的，具有临床应用价值。

The first case of 5G remote sleeve gastrectomy assisted by domestic Toumai® Laparoscopic Surgical Robot was completed in Gansu Provincial Hospital on December 14, 2023. The operation went smoothly, with a loading time of 30 min, total operative time of 120 min, robot manipulation time of 90 min, and bleeding volume of 20 mL. The average intraoperative network delay was (55.16±25.33) ms, the packet loss probability was 0.01%-0.1%, and there were no intraoperative network interruptions or other adverse network events. No postoperative complications was found. The results indicated that 5G remote robot-assisted sleeve gastrectomy is safe and effective, which has certain clinical application value.

基金项目：甘肃省联合科研基金项目（23JRRA1547）；甘肃省人民医院院内科研基金项目（21GSSYA-3，22GSSYC-15）；甘 肃省科技计划项目任务书（22JR5RA663） 

Foundation Item: Joint Scientific Research Funding Project of Gansu Province (23JRRA1547); Scientific Research Funding  Project of Gansu Provincial Hospital (21GSSYA-3, 22GSSYC-15); Science and Technology Plan Project of Gansu Province  (22JR5RA663) 

通讯作者：王晓鹏，Email：wxpjm78@163.com  

Corresponding Author: WANG Xiaopeng, Email: wxpjm78@163.com 

引用格式：王晓鹏，王艳，狐鸣，等 . 基于全球首例 5G 远程机器人辅助袖状胃切除术的可行性分析（附手术视频）[J]. 机器人外 科学杂志（中英文），2025，6（1）：24-27.  

Citation: WANG X P, WANG Y , HU M, et al. Feasibility analysis on the first case of 5G remote robot-assisted sleeve  gastrectomy in the world (with surgical video)[J]. Chinese Journal of Robotic Surgery, 2025, 6(1): 24-27.  

注：王晓鹏，王艳为共同第一作者 

Co-first author: WANG Xiaopeng, WANG Yan

[1] Bray G A, Kim K K, Wilding J P H, et al. Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation [J]. Obes Rev, 2017, 18(7): 715-23. 

[2] Scopinaro N. Bariatric metabolic surgery [J]. Rozhl Chir, 2014, 93(8): 404-415. 

[3] 田禹 , 黄佳 , 李剑涛 , 等 . 5G 远程机器人辅助胸腔镜下肺叶切 除术的动物实验研究 [J]. 中国胸心血管外科临床杂志 , 2023, 30(8): 1112-1115. 

[4] Ahad A, Tahir M, Aman Sheikh M, et al. Technologies trend towards 5G network for smart health-care using IoT: a review [J]. Sensors, 2020, 20(14): 4047-4069. 

[5] 中国研究型医院学会微创外科学专业委员会 , 中国医药教育协 会代谢病学专业委员会 . 机器人辅助袖状胃切除术操作指南 (2020 年版 ) [J]. 腹腔镜外科杂志 , 2021, 26(1): 1-6. 

[6] Walker J P. Status of the rural surgical workforce [J]. Surgical Clinics of North America, 2020, 100(5): 869-877. 

[7] Jara R D, Guerrón A D, Portenier D. Complications of robotic surgery [J]. Surgical clinics of North America, 2020, 100(2): 461-468. 

[8] ZHENG J L, WANG Y H, ZHANG J, et al. 5G ultra-remote robotassisted laparoscopic surgery in China [J]. Surg Endosc, 2020, 34(11): 5172-5180. 

[9] Marescaux J, Leroy J, Gagner M, et al. Transatlantic robot-assisted telesurgery [J]. Nature, 2001, 413(6854): 379-380. 

[10] 韩晓光 , 张琦 , 何达 . 远程医疗机器人手术研究进展 [J]. 邵阳学 院学报 ( 自然科学版 ), 2022, 19 (5): 103-107. 

[11] Yang G Z, J Nelson B, Murphy R R, et al. Combating COVID-19—The role of robotics in managing public health and infectious diseases [J]. Science Robotics, 2020, 5(40): 1-2. 

[12] Peterli R, Wölnerhanssen B K, Peters T, et al. Effect of laparoscopic sleeve gastrectomy vs laparoscopic Roux-en-Y gastric bypass on weight loss in patients with morbid obesity [J]. Jama, 2018, 319(3) : 255-265. 

[13] Alqahtani A, Almayouf M, Billa S. From biliopancreatic diversion to one anastomosis gastric bypass, technique explanation and outcome [J]. Obesity Surgery, 2022, 32(4): 1405-1408. 

[14] Beitner M, Kurian M S. Laparoscopic adjustable gastric banding [J]. Abdom Imaging, 2012, 37(5): 687-689. 

[15] Phillips B T, Shikora S A. The history of metabolic and bariatric surgery: Development of standards for patient safety and efficacy[J]. Metabolism, 2018. DOI: 10.1016/j.metabol.2017.12.010. 

[16] 颜朝阳 , 颜振民 , 张志 , 等 . 袖状胃切除术与 Roux-en-Y 胃转流 术治疗肥胖及 2 型糖尿病疗效的 Meta 分析 [J]. 内蒙古医科大 学学报 , 2016, 38 (1): 7. 

[17] Ayloo S, Buchs N C, Addeo P, et al. Robot-assisted sleeve gastrectomy for super-morbidly obese patients [J]. Journal of Laparoendoscopic & Advanced Surgical Techniques, 2011, 21(4): 295-299. 

[18] Diamantis T, Alexandrou A, Nikiteas N, et al. Initial experience with robotic sleeve gastrectomy for morbid obesity [J]. Obesity Surgery, 2010, 21(8): 1172-1179. 

[19] Chen B, Kiriakopoulos A, Tsakayannis D, et al. Reinforcement does not necessarily reduce the rate of staple line leaks after sleeve gastrectomy. A review of the literature and clinical experiences [J]. Obesity Surgery, 2008, 19(2): 166-172. 

[20] 郭玉玲 , 刘钦普 . 中国医疗卫生发展水平区域差异综合评价 [J]. 中国卫生统计 , 2016, 33(2): 251-253. 

[21] 王霖 , 王晓晖 , 张书峰 , 等 . 机器人辅助腹腔镜下新生儿先天性 胆总管囊肿手术 : 国内首例报道 ( 附视频 ) [J]. 机器人外科学杂 志 , 2024, 5(1): 85-90. 

[22] LI C J, ZHENG J L, ZHANG X, et al. Telemedicine network latency management system in 5G telesurgery: a feasibility and effectiveness study [J]. Surgical Endoscopy, 2024, 38(3): 1592-1599. 

[23] 郭进 , 苏河 , 马云涛 . 国产图迈手术机器人 5G 信号 + 远程动物 手术时主刀医师心理压力的调查与分析 [J]. 中国普外基础与临 床杂志 , 2023, 30(10): 1205-1209. 

[24] Atiyeh B S, Gunn S W, Hayek S N. Provision of essential surgery in remote and rural areas of developed as well as low and middle income countries [J]. Int J Surg, 2010, 8(8): 581-585. 

[25] Roa L, Jumbam D T, Makasa E, et al. Global surgery and the sustainable development goals [J]. British Journal of Surgery, 2019, 106(2): 44-52. 

[26] Shahzad N C T, Gala T. Telesurgery prospects in delivering healthcare in remote areas [J]. Journal of the Pakistan Medical Association, 2019, 69(1): 69-71. 

[27] Ahamed M M, Faruque S. 5G network coverage planning and analysis of the deployment challenges [J]. Sensors (Basel), 2021, 21(19): 6608-6634. 

[28] Jain S, Jain P K. 5G Technology for healthcare and its health effects: wonders, dangers, and diligence [J]. Journal of Family Medicine and Primary Care, 2022, 11(11): 6683-6686. 

[29] Mishra L, Vikash, Varma S. Seamless health monitoring using 5g nr for internet of medical things [J]. Wireless Personal Communications, 2021, 120(3): 2259-2289. 

[30] Gkagkas G, Vergados D J, Michalas A, et al. The advantage of the 5g network for enhancing the internet of things and the evolution of the 6G network [J]. Sensors (Basel), 2024, 24(8): 2455-2472.