Department of Surgery, University of Illinois Chicago, 840 S Wood Street Suite 435E, Chicago, IL, 60612, USA.
Department of Obstetrics and Gynecology, University of Illinois Chicago, Chicago, IL, USA.
J Robot Surg. 2023 Feb;17(1):109-116. doi: 10.1007/s11701-022-01404-x. Epub 2022 Mar 30.
Safe and secure closure of the vaginal cuff is a critical component of a robotic assisted hysterectomy procedure. Our aim in this study is to develop and validate a novel vaginal cuff closure model (VC) created from porcine heart that allows trainees to obtain competency in a low-risk environment. Ten expert and 20 novice robotic surgeons performed a cuff closure exercise on the VC model and on the dV-Trainer, a virtual reality simulator (VR). Performances were timed, videotaped, and scored using the modified Global Evaluative Assessment of Robotic Skills (mGEARS) score. Expert robotic surgeons completed the task faster on both the VR (531 vs. 814 s, p = 0.03) and the VC platforms (311 vs. 631 s, p < 0.001) and achieved higher mGEAR scores (32.25 vs. 22.07, p < 0.0001). Knot quality and suturing accuracy were better in the VC than in the VR environment in both groups. In a post-completion survey, both expert and novice surgeons expressed strong preference towards the VC model. In this study, the novel VC model proved to be a reliable simulation tool with high face, content, and construct validity. Due to its simplicity and low cost, this high-yield simulation exercise can easily be incorporated into robotic training curricula of obstetrics and gynecology residents.
安全、可靠地关闭阴道残端是机器人辅助子宫切除术的一个关键组成部分。我们旨在开发和验证一种新的阴道残端关闭模型(VC),该模型由猪心制成,使学员能够在低风险环境中获得能力。10 名专家和 20 名新手机器人外科医生在 VC 模型和虚拟现实模拟器(VR)dV-Trainer 上进行了残端关闭练习。使用改良的机器人技能综合评估(mGEARS)评分对表现进行计时、录像和评分。专家机器人外科医生在 VR 平台(531 与 814 秒,p=0.03)和 VC 平台(311 与 631 秒,p<0.001)上完成任务的速度更快,mGEARS 评分更高(32.25 与 22.07,p<0.0001)。在两组中,VC 组的打结质量和缝合准确性均优于 VR 组。在完成后的调查中,专家和新手外科医生都对 VC 模型表示出强烈的偏好。在这项研究中,新型 VC 模型被证明是一种可靠的模拟工具,具有高的表面、内容和结构有效性。由于其简单性和低成本,这种高收益的模拟练习可以很容易地纳入妇产科住院医师的机器人培训课程中。