Institute of Image-Guided Surgery, IHU Strasbourg, 1, Place de l'Hôpital, 67091, Strasbourg Cedex, France.
Department of Digestive and Endocrine Surgery, University Hospitals of Strasbourg, Strasbourg, France.
Surg Endosc. 2024 Sep;38(9):5405-5412. doi: 10.1007/s00464-024-11128-8. Epub 2024 Aug 6.
Robot-assisted procedures are increasingly common, and several systems are available for thoraco-abdominal surgery. Specific structured training is necessary, while access to these systems is still limited. This study aimed to assess surgeons' skill progress during consecutive training days of a curriculum with exposure to different robotic systems.
This prospective observational study enrolled 47 surgeons with anonymized analysis of SimNow™ simulator performance scores and dedicated questionnaires after written consent. The primary outcome was the overall score, based on economy of motion, time to complete the exercise, and penalty for errors. Course participants in 2022-2023 had chosen 2 full hands-on days on Da Vinci® consoles with either virtual reality (VR) simulation training using the SimNow (n = 21, 44.7%) or digestive surgery procedures with a live animal model (n = 26, 55.3%). In all participants, training on Da Vinci® systems included console functions and principles of docking, camera, and instrument use for console and procedural training. They additionally had access to introductory dry-lab and VR simulator exercises on the Versius, HugoRAS, and Dexter systems and to VR exercises on the ROBOTiS simulator.
The participants (16F/31M, median age 40 years, range 29-58) from various surgical specialties (general/visceral/vascular) had no (n = 35, 74.5%) or little (n = 12, 25.5%) robotic experience including bedside assistance only and 20 (42.6%) had robotic simulator experience. The demographic variables fully completed by 44/47 participants (93.6%) and choice of module had no significant impact on the primary outcome. The considerable performance improvement from days 1 to 2 was exemplified by a significantly increased economy of motion and decreased amount of excessive force.
Robotic surgical training is increasingly complex with several systems on the market. Within a dedicated robotic surgery curriculum and based on integrated performance metrics, a significant improvement of skill levels was observed in a relatively short period of time.
机器人辅助手术越来越普遍,有多种系统可用于胸腹部手术。虽然这些系统的使用仍然受到限制,但需要进行特定的结构化培训。本研究旨在评估外科医生在接受不同机器人系统培训的连续几天中技能的进步。
这是一项前瞻性观察研究,共纳入 47 名外科医生,他们在书面同意后进行了 SimNow™模拟器性能评分的匿名分析和专门的问卷调查。主要结果是基于运动经济性、完成练习的时间和因错误而受到的惩罚的总体得分。2022-2023 年的课程参与者选择在达芬奇®控制台进行 2 天的全动手操作,其中 21 名(44.7%)参与者使用 SimNow 进行虚拟现实(VR)模拟训练,26 名(55.3%)参与者进行活体动物模型下的消化手术。所有参与者都接受了达芬奇®系统的控制台功能和对接、摄像头和仪器使用的原理培训,包括控制台和手术培训。他们还可以使用 Versius、HugoRAS 和 Dexter 系统进行入门性干实验室和 VR 模拟器练习,并使用 ROBOTiS 模拟器进行 VR 练习。
来自不同外科专业(普通/内脏/血管)的参与者(16 名女性/31 名男性,中位年龄 40 岁,范围 29-58 岁)中,无(n=35,74.5%)或仅有(n=12,25.5%)机器人经验,包括仅床边协助,20 名(42.6%)有机器人模拟器经验。47 名参与者中的 44 名(93.6%)完整填写了人口统计学变量和模块选择,且这两个因素对主要结果没有显著影响。从第 1 天到第 2 天的显著性能提升表明,运动经济性显著提高,过度用力的情况明显减少。
随着市场上出现的多种系统,机器人外科手术培训越来越复杂。在专门的机器人外科手术课程中,根据综合绩效指标,在相对较短的时间内观察到技能水平的显著提高。