机器人辅助手术中的虚拟现实模拟:技能转移和可预测性的荟萃分析。
Virtual reality simulation in robot-assisted surgery: meta-analysis of skill transfer and predictability of skill.
机构信息
Department of General, Visceral, and Transplantation Surgery, University Hospital of Heidelberg, Heidelberg, Germany.
Department of Urology and Urological Surgery, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany.
出版信息
BJS Open. 2021 Mar 5;5(2). doi: 10.1093/bjsopen/zraa066.
BACKGROUND
The value of virtual reality (VR) simulators for robot-assisted surgery (RAS) for skill assessment and training of surgeons has not been established. This systematic review and meta-analysis aimed to identify evidence on transferability of surgical skills acquired on robotic VR simulators to the operating room and the predictive value of robotic VR simulator performance for intraoperative performance.
METHODS
MEDLINE, Cochrane Central Register of Controlled Trials, and Web of Science were searched systematically. Risk of bias was assessed using the Medical Education Research Study Quality Instrument and the Newcastle-Ottawa Scale for Education. Correlation coefficients were chosen as effect measure and pooled using the inverse-variance weighting approach. A random-effects model was applied to estimate the summary effect.
RESULTS
A total of 14 131 potential articles were identified; there were eight studies eligible for qualitative and three for quantitative analysis. Three of four studies demonstrated transfer of surgical skills from robotic VR simulators to the operating room measured by time and technical surgical performance. Two of three studies found significant positive correlations between robotic VR simulator performance and intraoperative technical surgical performance; quantitative analysis revealed a positive combined correlation (r = 0.67, 95 per cent c.i. 0.22 to 0.88).
CONCLUSION
Technical surgical skills acquired through robotic VR simulator training can be transferred to the operating room, and operating room performance seems to be predictable by robotic VR simulator performance. VR training can therefore be justified before operating on patients.
背景
虚拟现实(VR)模拟器在机器人辅助手术(RAS)中的技能评估和培训中的价值尚未得到确立。本系统评价和荟萃分析旨在确定在机器人 VR 模拟器上获得的手术技能转移到手术室的证据,以及机器人 VR 模拟器性能对手术室内性能的预测价值。
方法
系统地检索了 MEDLINE、Cochrane 中心对照试验注册库和 Web of Science。使用医学教育研究研究质量工具和纽卡斯尔-渥太华量表对偏倚风险进行评估。选择相关系数作为效应量,并使用逆方差加权法进行汇总。应用随机效应模型来估计汇总效应。
结果
共确定了 14131 篇潜在文章;有八项研究符合定性和三项研究符合定量分析的标准。四项研究中的三项表明,通过时间和技术手术表现从机器人 VR 模拟器到手术室转移了手术技能。三项研究中的两项发现机器人 VR 模拟器性能与手术室内技术手术性能之间存在显著正相关;定量分析显示出正的综合相关性(r=0.67,95%置信区间 0.22 至 0.88)。
结论
通过机器人 VR 模拟器培训获得的技术手术技能可以转移到手术室,并且机器人 VR 模拟器的性能似乎可以预测手术室内的性能。因此,可以在对患者进行手术之前对 VR 培训进行验证。