Exploration of porcine thyroidectomy <i>via</i> submaxillary approach using MP1000 robotic surgical system in porcine animal model_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

WANG Gang , WANG Meng ,  HE Qingqing , ZHU Jian , ZHUANG Dayong , ZHOU Peng , LI Xiaolei

Department of Thyroid and Breast Surgery, The 960th Hospital of Joint Logistics Support Force, Jinan 250031, P. R. China;

Corresponding author：

HE Qingqing, Email: heqingqing@yeah.net

Keywords：

MP1000 robotic surgical system; robotic thyroid surgery; submaxillary approach; porcine animal model

DOI：

10.7507/1007-9424.202307018

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Objective To investigate the safety and feasibility of domestic MP1000 robotic surgical system assisted thyroidectomy via submaxillary approach in porcine animal model. Method The thyroidectomy process assisted by the MP1000 robotic surgical system via submaxillary approach for a Bama pig in the 960th Hospital of the Joint Logistics Support Force was retrospectively analyzed. Results The operation was performed as planned programme using the MP1000 robotic surgical system without opening, adding or lengthening the surgical incision. There was no mechanical problems during the MP1000 robotic surgical operation. The operative time was 53 min and the estimated intraoperative blood loss was 10 mL. There was no shaking of instruments and robotic arm during the operation, and the 3 surgical instruments cooperated skillfully, the establishment of surgical operation space successfully was completed, the thyroid blood vessels accurately and finely was dissected, and the separation, coagulation and cutting of blood vessels were smoothly completed. The recurrent laryngeal nerve and parathyroid gland were delicately dissected and protected. The carotid sheath, trachea, esophagus, and other important organs around the thyroid did not be damaged. The master-slave mapping frequency was high, and there was no delay sense during the operation. The lens resolution of MP1000 was 1 920×1 080, the surgical field of vision was clear, no visual field was defected and the visual field was stable and not shaking, light source front and intelligent adaptive temperature control system reduced the fogging of the lens, and the lens was scoured for 4 times during the operation. Conclusion According to the preliminary results of the experimental animal in this study, MP1000 robotic surgical system can successfully complete thyroidectomy via submaxillary approach in porcine animal model.

Citation： WANG Gang, WANG Meng, HE Qingqing, ZHU Jian, ZHUANG Dayong, ZHOU Peng, LI Xiaolei. Exploration of porcine thyroidectomy via submaxillary approach using MP1000 robotic surgical system in porcine animal model. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2023, 30(11): 1329-1332. doi: 10.7507/1007-9424.202307018 Copy

1.	Wang W, Li J, Wang S, et al. System design and animal experiment study of a novel minimally invasive surgical robot. Int J Med Robot, 2016, 12(1): 73-84.
2.	Raison N, Poulsen J, Abe T, et al. An evaluation of live porcine simulation training for robotic surgery. J Robot Surg, 2021, 15(3): 429-434.
3.	中国医师协会外科医师分会甲状腺外科医师委员会, 中国研究型医院学会甲状腺疾病专业委员会. 机器人手术系统辅助甲状腺和甲状旁腺手术专家共识. 中国实用外科杂志, 2016, 36(11): 1165-1170.
4.	贺青卿, 庄大勇, 范子义, 等. 单腋窝和胸前径路达芬奇机器人猪甲状腺切除的对照研究. 中华内分泌外科杂志, 2014, 8(4): 328-331.
5.	王程, 隋成秋, 赵紫涵, 等. 术中神经监测技术在机器人甲状腺手术中的应用及进展. 中华内分泌外科杂志, 2022, 16(1): 126-128.
6.	中国医师协会外科医师分会甲状腺外科医师委员会, 中国研究型医院学会甲状腺疾病专业委员会, 中国医疗保健国际交流促进会临床实用技术分会, 等. 机器人甲状腺及甲状旁腺手术中神经电生理监测临床操作专家共识(2019版). 中国实用外科杂志, 2019, 39(12): 1248-1253.
7.	王丹, 贺青卿, 朱见, 等. DaVinci机器人甲状腺手术喉返神经监测仪使用方法的改进. 国际外科学杂志, 2018, 45(12): 836-838, 封4.
8.	Puliatti S, Mazzone E, Dell’Oglio P. Training in robot-assisted surgery. Curr Opin Urol, 2020, 30(1): 65-72.
9.	Britton CR, Francis I, Tay LJ, et al. The role of the bedside assistant in robot-assisted surgery: a critical synthesis. J Perioper Pract, 2022, 32(9): 208-225.
10.	田秀, 贺青卿, 王小霞. 经口腔前庭机器人甲状腺手术的护理配合经验. 腹腔镜外科杂志, 2021, 26(10): 762, 783.
11.	李陈钰, 贺青卿, 李小磊, 等. 经口腔前庭入路与双侧腋窝乳晕入路机器人甲状腺手术的回顾性比较研究. 中华外科杂志, 2023, 61(3): 227-231.
12.	王猛, 郑鲁明, 周鹏, 等. 腔镜与机器人甲状腺手术治疗甲状腺微小乳头状癌的对比研究. 肿瘤预防与治疗, 2021, 34(12): 1117-1122.
13.	李小磊, 贺青卿, 庄大勇, 等. 双侧腋窝乳晕入路机器人甲状腺手术单中心1 000例报告. 中华外科杂志, 2021, 59(11): 918-922.
14.	He Q, Zhu J, Li X, et al. A comparative study of two robotic thyroidectomy procedures: transoral vestibular versus bilateral axillary-breast approach. BMC Surg, 2022, 22(1): 173.
15.	李思佳, 郭飞跃, 罗倩文, 等. 经双侧腋窝乳晕入路机器人甲状腺切除术与传统开放手术对比的Meta分析. 腹腔镜外科杂志, 2021, 26(10): 721-734.
16.	Chen R, Rodrigues Armijo P, Krause C, et al. A comprehensive review of robotic surgery curriculum and training for residents, fellows, and postgraduate surgical education. Surg Endosc, 2020, 34(1): 361-367.
17.	Kang CM, Chong JU, Lim JH, et al. Robotic cholecystectomy using the newly developed Koreanrobotic surgical system, Revo-i: a preclinical experiment in a porcine model. Yonsei Med J, 2017, 58(5): 1075-1077.
18.	Peters BS, Armijo PR, Krause C, et al. Review of emerging surgical robotic technology. Surg Endosc, 2018, 32(4): 1636-1655.
19.	樊书菠, 李学松. 国产康多内窥镜手术机器人系统在泌尿外科中的应用进展. 中国微创外科杂志, 2023, 23(2): 140-143.
20.	韩冠鹏, 张箫薇, 樊书菠, 等. 国产内窥镜手术机器人下输尿管膀胱再植联合卵巢囊肿剥除术一例: 国内首例报道. 机器人外科学杂志(中英文), 2023, 4(2): 160-166.
21.	王家寅, 姜乃晶, 赵亚平, 等. 一种新型单臂单孔微创腹腔镜手术机器人系统. 中国医疗器械杂志, 2023, 47(1): 13-18, 25.

1. Wang W, Li J, Wang S, et al. System design and animal experiment study of a novel minimally invasive surgical robot. Int J Med Robot, 2016, 12(1): 73-84.
2. Raison N, Poulsen J, Abe T, et al. An evaluation of live porcine simulation training for robotic surgery. J Robot Surg, 2021, 15(3): 429-434.
3. 中国医师协会外科医师分会甲状腺外科医师委员会, 中国研究型医院学会甲状腺疾病专业委员会. 机器人手术系统辅助甲状腺和甲状旁腺手术专家共识. 中国实用外科杂志, 2016, 36(11): 1165-1170.
4. 贺青卿, 庄大勇, 范子义, 等. 单腋窝和胸前径路达芬奇机器人猪甲状腺切除的对照研究. 中华内分泌外科杂志, 2014, 8(4): 328-331.
5. 王程, 隋成秋, 赵紫涵, 等. 术中神经监测技术在机器人甲状腺手术中的应用及进展. 中华内分泌外科杂志, 2022, 16(1): 126-128.
6. 中国医师协会外科医师分会甲状腺外科医师委员会, 中国研究型医院学会甲状腺疾病专业委员会, 中国医疗保健国际交流促进会临床实用技术分会, 等. 机器人甲状腺及甲状旁腺手术中神经电生理监测临床操作专家共识(2019版). 中国实用外科杂志, 2019, 39(12): 1248-1253.
7. 王丹, 贺青卿, 朱见, 等. DaVinci机器人甲状腺手术喉返神经监测仪使用方法的改进. 国际外科学杂志, 2018, 45(12): 836-838, 封4.
8. Puliatti S, Mazzone E, Dell’Oglio P. Training in robot-assisted surgery. Curr Opin Urol, 2020, 30(1): 65-72.
9. Britton CR, Francis I, Tay LJ, et al. The role of the bedside assistant in robot-assisted surgery: a critical synthesis. J Perioper Pract, 2022, 32(9): 208-225.
10. 田秀, 贺青卿, 王小霞. 经口腔前庭机器人甲状腺手术的护理配合经验. 腹腔镜外科杂志, 2021, 26(10): 762, 783.
11. 李陈钰, 贺青卿, 李小磊, 等. 经口腔前庭入路与双侧腋窝乳晕入路机器人甲状腺手术的回顾性比较研究. 中华外科杂志, 2023, 61(3): 227-231.
12. 王猛, 郑鲁明, 周鹏, 等. 腔镜与机器人甲状腺手术治疗甲状腺微小乳头状癌的对比研究. 肿瘤预防与治疗, 2021, 34(12): 1117-1122.
13. 李小磊, 贺青卿, 庄大勇, 等. 双侧腋窝乳晕入路机器人甲状腺手术单中心1 000例报告. 中华外科杂志, 2021, 59(11): 918-922.
14. He Q, Zhu J, Li X, et al. A comparative study of two robotic thyroidectomy procedures: transoral vestibular versus bilateral axillary-breast approach. BMC Surg, 2022, 22(1): 173.
15. 李思佳, 郭飞跃, 罗倩文, 等. 经双侧腋窝乳晕入路机器人甲状腺切除术与传统开放手术对比的Meta分析. 腹腔镜外科杂志, 2021, 26(10): 721-734.
16. Chen R, Rodrigues Armijo P, Krause C, et al. A comprehensive review of robotic surgery curriculum and training for residents, fellows, and postgraduate surgical education. Surg Endosc, 2020, 34(1): 361-367.
17. Kang CM, Chong JU, Lim JH, et al. Robotic cholecystectomy using the newly developed Koreanrobotic surgical system, Revo-i: a preclinical experiment in a porcine model. Yonsei Med J, 2017, 58(5): 1075-1077.
18. Peters BS, Armijo PR, Krause C, et al. Review of emerging surgical robotic technology. Surg Endosc, 2018, 32(4): 1636-1655.
19. 樊书菠, 李学松. 国产康多内窥镜手术机器人系统在泌尿外科中的应用进展. 中国微创外科杂志, 2023, 23(2): 140-143.
20. 韩冠鹏, 张箫薇, 樊书菠, 等. 国产内窥镜手术机器人下输尿管膀胱再植联合卵巢囊肿剥除术一例: 国内首例报道. 机器人外科学杂志(中英文), 2023, 4(2): 160-166.
21. 王家寅, 姜乃晶, 赵亚平, 等. 一种新型单臂单孔微创腹腔镜手术机器人系统. 中国医疗器械杂志, 2023, 47(1): 13-18, 25.

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Exploration of porcine thyroidectomy via submaxillary approach using MP1000 robotic surgical system in porcine animal model

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content