Toumai® endoscopic robot-assisted thoracic surgery in three patients_Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Authors：

JIN Dacheng , CUI Baiqiang , YANG Ning , HE Xiaoyang ,  GOU Yunjiu

Department of Thoracic Surgery, Gansu Province People’s Hospital, Lanzhou, 730000, P. R. China;

Corresponding author：

GOU Yunjiu, Email: gouyunjiu@163.com

Keywords：

Domestic surgical robot; Toumai® minimally invasive endoscopic surgical robot; radical lung cancer surgery; mediastinal tumor resection

DOI：

10.7507/1007-4848.202112058

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To explore the application of Toumai® minimally invasive endoscopic robot in thoracic surgery, and to observe its safety and short-term surgical efficacy. Methods Three patients were enrolled from October to December 2021, including 1 male (69 years) and 2 females (47 years and 22 years). All 3 patients received surgery with Toumai® endoscopic surgical robot, including radical lung cancer surgery in 2 patients and mediastinal tumor resection in 1 patient. Results All 3 patients were successfully operated without conversion to thoracotomy, complication or death. For the male lobectomy patient, the total operation time was 120 min, the intraoperative blood loss was 100 mL, the catheter drainage time was 4 days and the hospital stay time was 5 days. For the female lobectomy patient, the total operation time was 103 min, the intraoperative blood loss was 100 mL, the catheter drainage time was 4 days and the hospital stay time was 5 days. For the female mediastinal tumor patient, the total operation time was 81 min, the intraoperative blood loss was 50 mL, the catheter drainage time was 3 days and the hospital stay time was 3 days. Conclusion The Toumai® minimally invasive endoscopic surgical robot is safe and effective in thoracic surgery. Compared with Da Vinci surgical robot, Toumai® has the same 3D visual field experience and smooth operation.

Citation： JIN Dacheng, CUI Baiqiang, YANG Ning, HE Xiaoyang, GOU Yunjiu. Toumai® endoscopic robot-assisted thoracic surgery in three patients. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2022, 29(4): 524-528. doi: 10.7507/1007-4848.202112058 Copy

1.	机器人产业发展规划 (2016-2020年). URL: http://www.gov.cn/xinwen/2016-04/27/content_5068383.htm..[Access on 2016-04-27].
2.	王燕, 瞿旻, 梅妮, 等. 国产腔镜机器人用于根治性前列腺切除术的Ⅲ期随机对照研究. 中华泌尿外科杂志, 2021, 42(7): 485-490.
3.	Cerfolio RJ, Bryant AS, Minnich DJ. Starting a robotic program in general thoracic surgery: Why, how, and lessons learned. Ann Thorac Surg, 2011, 91(6): 1729-1736.
4.	Huang P, Ye B, Yang Y, et al. Experience with the "Da Vinci" robotic system for early-stage thymomas: Report of 23 cases. Thorac Cancer, 2014, 5(4): 325-329.
5.	Ro CY, Derose JJ, Connery CP, et al. Three-year experience with totally endoscopic robotic thymectomy. Innovations (Phila), 2006, 1(3): 111-114.
6.	Kamel MK, Rahouma M, Stiles BM, et al. Robotic thymectomy: Learning curve and associated perioperative outcomes. J Laparoendosc Adv Surg Tech A, 2017, 27(7): 685-690.
7.	Fahim C, Hanna W, Waddell T, et al. Robotic-assisted thoracoscopic surgery for lung resection: The first Canadian series. Can J Surg, 2017, 60(4): 260-265.
8.	Meyer M, Gharagozloo F, Tempesta B, et al. The learning curve of robotic lobectomy. Int J Med Robot, 2012, 8(4): 448-452.
9.	Zhang Y, Liu S, Han Y, et al. Robotic anatomical segmentectomy: An analysis of the learning curve. Ann Thorac Surg, 2019, 107(5): 1515-1522.
10.	Baldonado JJAR, Amaral M, Garrett J, et al. Credentialing for robotic lobectomy: What is the learning curve? A retrospective analysis of 272 consecutive cases by a single surgeon. J Robot Surg, 2019, 13(5): 663-669.
11.	贺生亮, 郭天康, 柏启州, 等. 达芬奇机器人系统在高龄患者肺癌根治术中的应用. 中国胸心血管外科临床杂志, 2021, 28(5): 514-518.
12.	王兵, 金大成, 陈猛, 等. 达芬奇机器人与传统胸腔镜胸腺瘤切除术中的比较. 中华胸心血管外科杂志, 2020, 36(7): 420-424.
13.	Jang HJ, Lee HS, Park SY, et al. Comparison of the early robot-assisted lobectomy experience to video-assisted thoracic surgery lobectomy for lung cancer: A single-institution case series matching study. Innovations (Phila), 2011, 6(5): 305-310.
14.	Burfeind WR, Jaik NP, Villamizar N, et al. A cost-minimisation analysis of lobectomy: Thoracoscopic versus posterolateral thoracotomy. Eur J Cardiothorac Surg, 2010, 37(4): 827-832.
15.	Tamura M, Shimizu Y, Hashizume Y. Pain following thoracoscopic surgery: Retrospective analysis between single-incision and three-port video-assisted thoracoscopic surgery. J Cardiothorac Surg, 2013, 8: 153.
16.	Melfi FM, Ambrogi MC, Lucchi M, et al. Video robotic lobectomy. Multimed Man Cardiothorac Surg, 2005, 2005(628): mmcts. 2004.000448.
17.	Chen D, Tan Q. Comment on "Robotic versus video-assisted lobectomy/segmentectomy for lung cancers—A meta-analysis". Ann Surg, 2019, 270(6): e147-e148.
18.	Nelson DB, Mehran RJ, Mitchell KG, et al. Robotic-assisted lobectomy for non-small cell lung cancer: A comprehensive institutional experience. Ann Thorac Surg, 2019, 108(2): 370-376.
19.	国产机器人毫米间穿行游刃有余. 机床与液压, 2019, 47(10): 150.
20.	《Nature》发布 "自然聚焦-中国医疗机器人" 特刊. URL: https://www.sohu.com/a/404208813_107808?_f=index_pagerecom_17..[Access on 2020-06-26].
21.	新时代下我国智能医疗机器人发展趋势与挑战. URL: https://www.afzhan.com/news/detail/75087.html..[Access on 2021- 01-26].
22.	任佳妮, 张薇, 杨阳, 等. "人工智能+医疗" 新兴技术识别研究—以医疗机器人为例. 情报杂志, 2021, 40(12): 45-50.

1. 机器人产业发展规划 (2016-2020年). URL: http://www.gov.cn/xinwen/2016-04/27/content_5068383.htm..[Access on 2016-04-27].
2. 王燕, 瞿旻, 梅妮, 等. 国产腔镜机器人用于根治性前列腺切除术的Ⅲ期随机对照研究. 中华泌尿外科杂志, 2021, 42(7): 485-490.
3. Cerfolio RJ, Bryant AS, Minnich DJ. Starting a robotic program in general thoracic surgery: Why, how, and lessons learned. Ann Thorac Surg, 2011, 91(6): 1729-1736.
4. Huang P, Ye B, Yang Y, et al. Experience with the "Da Vinci" robotic system for early-stage thymomas: Report of 23 cases. Thorac Cancer, 2014, 5(4): 325-329.
5. Ro CY, Derose JJ, Connery CP, et al. Three-year experience with totally endoscopic robotic thymectomy. Innovations (Phila), 2006, 1(3): 111-114.
6. Kamel MK, Rahouma M, Stiles BM, et al. Robotic thymectomy: Learning curve and associated perioperative outcomes. J Laparoendosc Adv Surg Tech A, 2017, 27(7): 685-690.
7. Fahim C, Hanna W, Waddell T, et al. Robotic-assisted thoracoscopic surgery for lung resection: The first Canadian series. Can J Surg, 2017, 60(4): 260-265.
8. Meyer M, Gharagozloo F, Tempesta B, et al. The learning curve of robotic lobectomy. Int J Med Robot, 2012, 8(4): 448-452.
9. Zhang Y, Liu S, Han Y, et al. Robotic anatomical segmentectomy: An analysis of the learning curve. Ann Thorac Surg, 2019, 107(5): 1515-1522.
10. Baldonado JJAR, Amaral M, Garrett J, et al. Credentialing for robotic lobectomy: What is the learning curve? A retrospective analysis of 272 consecutive cases by a single surgeon. J Robot Surg, 2019, 13(5): 663-669.
11. 贺生亮, 郭天康, 柏启州, 等. 达芬奇机器人系统在高龄患者肺癌根治术中的应用. 中国胸心血管外科临床杂志, 2021, 28(5): 514-518.
12. 王兵, 金大成, 陈猛, 等. 达芬奇机器人与传统胸腔镜胸腺瘤切除术中的比较. 中华胸心血管外科杂志, 2020, 36(7): 420-424.
13. Jang HJ, Lee HS, Park SY, et al. Comparison of the early robot-assisted lobectomy experience to video-assisted thoracic surgery lobectomy for lung cancer: A single-institution case series matching study. Innovations (Phila), 2011, 6(5): 305-310.
14. Burfeind WR, Jaik NP, Villamizar N, et al. A cost-minimisation analysis of lobectomy: Thoracoscopic versus posterolateral thoracotomy. Eur J Cardiothorac Surg, 2010, 37(4): 827-832.
15. Tamura M, Shimizu Y, Hashizume Y. Pain following thoracoscopic surgery: Retrospective analysis between single-incision and three-port video-assisted thoracoscopic surgery. J Cardiothorac Surg, 2013, 8: 153.
16. Melfi FM, Ambrogi MC, Lucchi M, et al. Video robotic lobectomy. Multimed Man Cardiothorac Surg, 2005, 2005(628): mmcts. 2004.000448.
17. Chen D, Tan Q. Comment on "Robotic versus video-assisted lobectomy/segmentectomy for lung cancers—A meta-analysis". Ann Surg, 2019, 270(6): e147-e148.
18. Nelson DB, Mehran RJ, Mitchell KG, et al. Robotic-assisted lobectomy for non-small cell lung cancer: A comprehensive institutional experience. Ann Thorac Surg, 2019, 108(2): 370-376.
19. 国产机器人毫米间穿行游刃有余. 机床与液压, 2019, 47(10): 150.
20. 《Nature》发布 "自然聚焦-中国医疗机器人" 特刊. URL: https://www.sohu.com/a/404208813_107808?_f=index_pagerecom_17..[Access on 2020-06-26].
21. 新时代下我国智能医疗机器人发展趋势与挑战. URL: https://www.afzhan.com/news/detail/75087.html..[Access on 2021- 01-26].
22. 任佳妮, 张薇, 杨阳, 等. "人工智能+医疗" 新兴技术识别研究—以医疗机器人为例. 情报杂志, 2021, 40(12): 45-50.

Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Toumai® endoscopic robot-assisted thoracic surgery in three patients

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