探讨机器人经腹腔入路腹膜后肿瘤切除术的临床应用。方法：回顾性分析 2016 年 11 月 ~2020 年 3 月福建医科大学附属协和医院施行的机器人经腹腔入路腹膜后肿瘤切除术的 14 例腹膜后肿瘤患者的临床资 料，总结手术经验和技巧。结果：所有病例均顺利完成机器人手术，无中转，无围手术期死亡病例。肿瘤最大径 3~14cm，平均 6cm；手术时间 60~400min，平均 135min；术中出血量 10~200ml，平均 20ml；术后恢复进食时间 1~3d，平均 2d；术后住院时间 3~11d，平均 6d。无严重术中、术后并发症发生。结论：机器人经腹腔入路腹膜后肿 瘤切除术对于选择适当的良性腹膜后肿瘤是安全、有效的，且术后恢复快，并发症少。

To evaluate clinical application of robot-assisted retroperitoneal tumor resection via transabdominal approach. Methods: 14 patients with retroperitoneal tumor in Fujian Medical University Union Hospital from November 2016 to March 2020 were enrolled in this retrospective study. Clinical data of the patients were collected to summarize operative skills and experiences. Results: All the operations were successfully completed without conversion into open surgery. No death occurred in perioperative period. Average diameter of tumor was 6 (3-14)cm, average operative time was 135 (60-400) min and the average intraoperative blood loss was 20 (10-200)ml. Average postoperative eating time was 2 (1-3)d and average postoperative hospital stay time was 6 (3-11)d. No severe intraoperative or postoperative complications occurred. Conclusion: Robot-assisted retroperitoneal tumor resection via transabdominal approach is a feasible and safe way to treat well-selected benign retroperitoneal tumors with fast recovery and few complications.

收稿日期：2020-04-02  录用日期：2020-06-10 

Received Date: 2020-04-02  Accepted Date: 2020-06-10 

基金项目：福建省微创医学中心项目（闽卫医政函 [2017]171）；福建省医学临床重点专科建设项目（闽财指 [2012]649） Foundation

 Item: Medical Minimally Invasive Center Program of Fujian Province, China (2017-171); Key Clinical Specialty Discipline Construction Program of Fujian Province, China (2012-649)

通讯作者：黄鹤光，Email：Heguanghuang2@163.com 

Corresponding Author: HUANG Heguang, Email: Heguanghuang2@163.com 

引用格式：林荣贵，黄鹤光，陈燕昌，等 . 机器人经腹腔入路腹膜后肿瘤切除术的临床应用 [J]. 机器人外科学杂志，2020，1（3）： 180-185. 

Citation: LIN R G, HUANG H G, CHEN Y C, et al.Clinical application of robot-assisted retroperitoneal tumor resection via transabdominal approach[J].Chinese Journal of Robotic Surgery, 2020, 1 (3):180-185.

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