天津大学附属天津市胸科医院于 2024 年 1 月 10 日通过精锋 ® 多孔腔镜手术机器人 MP1000 成功完成 1 例右肺下叶 背段切除术。患者手术顺利，无中转开胸，无肺组织误损伤。手术总时间为 105 min，机器准备时间 17 min，得到标本时间 57 min，手术操作时间 88 min，淋巴结清扫顺利，未出现顽固性出血，鼓肺试验未出现漏气。术后患者无明显皮下气肿，刀 口疼痛感未见明显异常，疼痛视觉模拟法评分为 3 分。患者于术后第 3 天拔除胸腔引流管，伤口愈合良好，无伤口感染。病 理结果显示为右肺下叶背段的浸润性非粘液性腺癌，患者于术后第 5 天顺利出院。此例患者手术的顺利完成标志着国产手术 机器人在肺部肿瘤切除领域的可行性、安全性和有效性。然而，未来仍需大样本的前瞻性研究以及长期随访数据进一步验证 国产机器人手术系统的有效性和安全性。

Tianjin Chest Hospital of Tianjin University completed a case of dorsal segmental resection of the lower lobe of the right lung with the Edge® Multi-port Endoscopic Surgical Robot MP1000 successfully on January 10, 2024. The surgery went smoothly, with no midrotation chest opening and no lung tissue misinjury. The total operation time was 105 min, machine preparation time was 17 min, specimen obtaining time was 57 min, and operation time was 88 min. Lymph node dissection went smoothly without persistent bleeding, and there was no air leakage in the lung recruitment maneuver. Postoperatively, the patient had no obvious subcutaneous emphysema, no abnormal incision pain, and a score of 3 on the Visual Analog Scale for pain. The chest drain was removed on the 3rd postoperative day, and the wound healed well without wound infection. Pathologic findings showed an invasive non-mucinous adenocarcinoma in the dorsal segment of the lower lobe of the right lung, and the patient was discharged from the hospital on the 5th postoperative day. The successful completion of the surgery in this case demonstrates the feasibility, safety, and efficacy of domestic robots in the field of lung tumor resection. However, prospective studies with large samples and long-term follow-up data are needed to validate the efficacy and safety of the domestic robotic surgical system.

基金项目：天津市医学重点学科（专科）建设项目（TJYXZDXK-018A） 

Foundation Item: Tianjin Key Medical Discipline (Specialty) Construction Project (TJYXZDXK-018A) 

引用格式：贾骁腾，李鑫，孙大强 . 国产多孔手术机器人辅助胸腔镜下肺段切除术：国内首例报道（附手术视频）[J]. 机器人外科学杂志（中 英文），2025，6（4）：529-532. 

Citation: JIA X T, LI X, SUN D Q. Domestic multi-port surgical robot-assisted thoracoscopic pulmonary segmentectomy: the first case  reported in China (with surgical video) [J]. Chinese Journal of Robotic Surgery, 2025,6(4): 529-532. 

通讯作者（Corresponding Author）：孙大强（SUN Daqiang），Email：sdqmd@tju.edu.cn

[1] Veronesi G, Novellis P, Voulaz E, et al. Robot-assisted surgery for lung cancer: state of the art and perspectives[J]. Lung Cancer, 2016, 101(11): 28-34. 

[2] WU H, JIN R S, YANG S, et al. Long-term and short-term outcomes of robot-versus video-assisted anatomic lung resection in lung cancer: a systematic review and meta-analysis[J]. Eur J Cardiothoracic Surg, 2021, 59(4): 732-740. 

[3] HU J J, CHEN Y, DAI J, et al. Perioperative outcomes of robot-assisted vs video-assisted and traditional open thoracic surgery for lung cancer: a systematic review and network meta-analysis[J]. Int J Med Robot, 2020, 16(5): 1-14. 

[4] 李艳君 , 谭祥秀 . 机器人辅助胸腔镜手术在胸外科的应用现状及展 望 [J]. 中国医学创新 , 2023, 20(15): 170-174. 

[5] 艾青 , 王野 , 程强 , 等 . 超远程机器人辅助腹腔镜保留肾单位手术安 全性和可行性的动物实验研究 [J]. 微创泌尿外科杂志 , 2023, 12(3): 145-148. 

[6] 王刚 , 王猛 , 贺青卿 , 等 . 国产 MP1000 机器人手术系统颌下入路 猪甲状腺切除术探索 [J]. 中国普外基础与临床杂志 , 2023, 30(11): 1329-1332. 

[7] Lonnerfors C. Robot-assisted myomectomy[J]. Best Pract Res Clin Obstet Gynaecol, 2018, 46: 113-119. 

[8] Liu R, Abu Hilal M, Wakabayashi G, et al. International experts consensus guidelines on robotic liver resection in 2023[J]. World J Gastroenterol, 2023, 29(32): 4815-4830. 

[9] ZHANG Y J, DONG D, CAO Y Q, et al. Robotic versus conventional minimally invasive esophagectomy for esophageal cancer: a Metaanalysis[J]. Ann Surg, 2023, 278(1): 39-50. 

[10] Calpin G G, Ryan F R, McHugh F T, et al. Comparing the outcomes of open, laparoscopic and robot-assisted partial nephrectomy: a network Meta-analysis[J]. BJU Int, 2023, 132(4): 353-364. 

[11] Zhang J R, Ndou W S, Ng N, et al. Robotic-arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and Meta-analysis[J]. Knee Surg Sports Traumatol Arthrosc, 2022, 30(8): 2677-2695. 

[12] Baek S J, Piozzi G N, Kim S H. Optimizing outcomes of colorectal cancer surgery with robotic platforms[J]. Surg Oncol, 2021, 37(2): 101559. 

[13] Casarin J, Song C, Multinu F, et al. Implementing robotic surgery for uterine cancer in the United States: better outcomes without increased costs[J]. Gynecol Oncol, 2020, 156(2): 451-458. 

[14] Eguchi T, Sato T, Shimizu K. Technical advances in segmentectomy for lung cancer: a minimally invasive strategy for deep, small, and impalpable tumors[J]. Cancers (Basel), 2021, 13(13): 3137. 

[15] 郭超 , 张家齐 , 李桢 , 等 . 医疗机器人在肺部小结节诊疗中的应用现 状及前景展望 [J]. 中华胸部外科电子杂志 , 2022, 9(1): 35-40. 

[16] 黄楚坚 , 蔡松华 , 邓友君 , 等 . 国产精锋单孔腔镜手术机器人辅助气 管吻合术的动物实验研究 [J]. 武汉大学学报 ( 医学版 ), 2024, 45(2): 142-146. 

[17] Buitrago M R, Restrepo J. Robot-assisted thoracic surgery in Colombia: a multi-institutional initial experience[J]. Ann Cardiothorac Surg, 2019, 8(2): 233-240. 

[18] ZHENG C W, GE Y, MA T Y, et al. Outcomes of robot-assisted versus video-assisted mediastinal mass resection during the initial learning curve[J]. J Robot Surg, 2024, 18(1): 81. 

[19] Gómez-Hernández M T, Fuentes M G, Novoa N M, et al. The robotic surgery learning curve of a surgeon experienced in video-assisted thoracoscopic surgery compared with his own video-assisted thoracoscopic surgery learning curve for anatomical lung resections[J]. Eur J Cardiothorac Surg, 2022, 61(2): 289-296.