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中华胸部外科电子杂志 ›› 2019, Vol. 06 ›› Issue (01) : 63 -67. doi: 10.3877/cma.j.issn.2095-8773.2019.01.013

所属专题: 机器人专题 机器人手术 文献

机器人辅助微创食管切除术·综述

机器人辅助微创食管切除术的学习曲线分析
杨洋1, 郭旭峰1, 李斌1, 张晓彬1, 茅腾1, 孙益峰1, 李志刚1,()   
  1. 1. 200030 上海交通大学附属胸科医院胸外科 上海交通大学食管疾病诊治中心
  • 收稿日期:2018-12-26 出版日期:2019-02-28
  • 通信作者: 李志刚

Learning curve analysis of robot-assisted minimally invasive esophagectomy

Yang Yang1, Xufeng Guo1, bin Li1, Xiaobing Zhang1, Teng Mao1, Yifeng Sun1, Zhigang Li1,()   

  1. 1. Department of Thoracic Surgery, Section of Esophageal Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
  • Received:2018-12-26 Published:2019-02-28
  • Corresponding author: Zhigang Li
  • About author:
    Corresponding author: Li Zhigang, Email:
引用本文:

杨洋, 郭旭峰, 李斌, 张晓彬, 茅腾, 孙益峰, 李志刚. 机器人辅助微创食管切除术的学习曲线分析[J/OL]. 中华胸部外科电子杂志, 2019, 06(01): 63-67.

Yang Yang, Xufeng Guo, bin Li, Xiaobing Zhang, Teng Mao, Yifeng Sun, Zhigang Li. Learning curve analysis of robot-assisted minimally invasive esophagectomy[J/OL]. Chinese Journal of Thoracic Surgery(Electronic Edition), 2019, 06(01): 63-67.

近年来随着达芬奇机器人技术在国内外的兴起,其被应用作为食管癌根治术的微创手段,具有广阔前景的同时也对胸外科主刀医师的水平提出更高的挑战。目前关于达芬奇机器人系统用于食管癌根治术治疗的报道不多,对其学习曲线研究的报道更少。该文旨在通过对目前机器人辅助微创食管切除术(RAMIE)学习曲线相关的研究报道进行总结,探讨胸外科医师开展RAMIE的学习曲线特征,用以指导机器人手术的开展。

With the rapid development of DaVinci robot technology worldwide, it has been applied as a minimally invasive approach for esophagectomy in recent years. Despite the broad prospects of this type of surgery, it also brought greater challenge to thoracic surgeons. Until now, there are few reports on the DaVinci robotic system for esophagectomy , even fewer on its learning curve. The aim of this study was to summarize the research reports and explore the characteristics of learning curve for robot-assisted minimally invasive esophagectomy(RAMIE), which can be applied to guide the application of robotic surgery.

表1 机器人辅助微创食管切除术(RAMIE)学习曲线的研究进展
1
刘晟,仇明,江道振,等. 微创手术学习曲线的新概念与临床意义[J]. 中国微创外科杂志,2008, 8(1): 5-6.
2
Hernandez JM, Dimou F, Weber J, et al. Defining the learning curve for robotic-assisted esophagogastrectomy[J]. J Gastrointest Surg, 2013, 17(8): 1346-1351.
3
Kunisaki C, Makino H, Yamamoto N, et a1. Learning curve for laparoscopy-assisted distal gastrectomy with regional lymph node dissection for early gastric cancer[J]. Surg Laparosc Endosc Percutan Tech, 2008, 18(3): 236-241.
4
Kim MC, Jung GJ, Kim HH. Learning curve of laparoscopy-assisted distal gastrectomy with systemic lymphadenectomy for early gastric cancer[J]. World J Gastroenterol, 2005, 11(47): 7508-7511.
5
Abbott A, Shridhar R, Hoffe S, et al. Robotic assisted Ivor Lewis esophagectomy in the elderly patient[J]. J Gastrointest Oncol, 2015, 6(1): 31-38
6
Sarkaria IS, Rizk NP, Grosser R, et al. Attaining Proficiency in Robotic-Assisted Minimally Invasive Esophagectomy While Maximizing Safety During Procedure Development[J]. Innovations (Phila), 2016, 11(4): 268-273.
7
Grimminger PP, Tagkalos E, Hadzijusufovic E, et al. Change from hybrid to fully minimally invasive and robotic esophagectomy is possible without compromises[J]. Thorac Cardiovasc Surg, 2018. doi: 10.1055/s-0038-1670664.
8
Park SY, Kim DJ, Kang DR, et al. Learning curve for robotic esophagectomy and dissection of bilateral recurrent laryngeal nerve nodes for esophageal cancer[J]. Dis Esophagus, 2017, 30(12): 1-9.
9
Park S, Hyun K, Lee HJ, et al. A study of the learning curve for robotic oesophagectomy for oesophageal cancer[J]. Eur J Cardiothorac Surg, 2018, 53(4): 862-870.
10
van der Sluis PC, Ruurda JP, van der Horst S, et al. Learning Curve for Robot-Assisted Minimally Invasive Thoracoscopic Esophagectomy: Results From 312 Cases[J]. Ann Thorac Surg, 2018, 106(1): 264-271.
11
杨煜,张晓彬,孙益峰,等. 机器人辅助食管癌的微创外科切除:上海市胸科医院75例临床报道[J].中华胸部外科电子杂志,2016, 3(3): 151-155.
12
Zhang H, Chen L, Wang Z, et al. The Learning Curve for Robotic McKeown Esophagectomy in Patients with Esophageal Cancer[J]. Ann Thorac Surg, 2018, 105(4): 1024-1030.
13
刘小龙,熊磊,丛壮壮,等. 达芬奇机器人在食管癌根治术中学习曲线的研究[J]. 医学研究生学报,2018, 31(8): 831-834.
14
Ahlberg G, Kruuna O, Leijonmarck CE, et al. Is the learning curve for laparoscopic fundoplication determined by the teacher or the pupil? [J] Am J Surg, 2005, 189(2): 184-189.
15
稽武,胡新勇,黎介寿. 手术机器人的应用进展和前景展望[J]. 医学研究生学报,2010, 23(9): 994-998.
16
Schreuder HW, Wolswijk R, Zweemer RP, et al. Training and learning robotic surgery, time for a more structured approach: a systematic review[J]. BJOG, 2012, 119(2): 137-149.
17
Gurusamy K, Aggarwal R, Palanivelu L, et al. Systematic review of randomized controlled trials on the effectiveness of virtual reality training for laparoscopic surgery[J]. Br J Surg, 2008, 95(9): 1088-1097.
18
Kelly DC, Margules AC, Kundavaram CR, et al. Face, content, and construct validation of the da Vinci Skills Simulator[J]. Urology, 2012, 79(5): 1068-1072.
19
Abboudi H, Khan MS, Aboumarzouk O, et al. Current status of validation for robotic surgery simulators - a systematic review[J]. BJU Int, 2013, 111(2): 194-205.
20
Patel HRH, Linares A, Joseph JV. Robotic and laparoscopic surgery: cost and training[J]. Surg Oncol, 2009, 18(3): 242-246.
21
Schachner T, Bonaros N, Wiedemann D, et al. Training surgeons to perform robotically assisted totally endoscopic coronary surgery[J]. Ann Thorac Surg, 2009, 88(2): 523-527.
22
Rashid TG, Kini M, Ind TE. Comparing the learning curve for robotically assisted and straight stick laparoscopic procedures in surgical novices[J]. Int J Med Robot, 2010, 6(3): 306-310.
23
Arain NA, Dulan G, Hogg DC, et al. Comprehensive proficiency-based inanimate training for robotic surgery: reliability, feasibility, and educational benefit[J]. Surg Endosc, 2012, 26(10): 2740-2745.
24
Mirheydar H, Jones M, Koeneman KS, et al. Robotic surgical education: a collaborative approach to training postgraduate urologists and endourology fellows[J]. JSLS, 2009, 13(3): 287-292.
25
Marengo F, Larraín D, Babilonti L, et al. Learning experience using the double-console da Vinci surgical system in gynecology: a prospective cohort study in a University hospital[J]. Arch Gynecol Obstet, 2012, 285(2): 441-445.
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