Choksi Sarah, Ballo Mattia, Profant Craig, Portelli Katherine, Dhar Vikrom, Schmidt Ryan, Yee Andrew, Olasky Jaisa, Filicori Filippo
Intraoperative Performance Analytics Laboratory, Department of Surgery, Lenox Hill Hospital, New York, NY, USA.
Northwell, 2000 Marcus Ave Suite 300, New Hyde Park, NY, 11042, USA.
Surg Endosc. 2025 Apr;39(4):2316-2323. doi: 10.1007/s00464-025-11599-3. Epub 2025 Feb 14.
Multiple surgical virtual reality (VR) simulators are currently available; however, there is lack of comparison between performance after practice on these simulators compared to bench top models. Utilizing the Intuitive Data recorder (IDR) and Objective performance indicators (OPI), we aim to objectively assess robotic surgical skills using a dry lab model. We hypothesize that practicing surgical skills will improve OPIs and that those who practice on the dry lab model will have a greater improvement in their OPIs compared to those who practice with Fundamentals of Robotic Surgery (FRS) SimNow VR.
The IDR was used to record kinematics as each participant went through five basic surgery tasks on a dry lab benchtop model to record baseline performance. Participants were then randomized to practice on the dry lab model or the corresponding SimNow Virtual reality (VR) tasks. The participants repeated the tasks again on the benchtop model. Statistical analysis was performed using paired samples t tests, independent samples t tests, and ANOVA tests.
Twenty-seven surgeons participated in our study ranging from interns to attendings. Randomization to VR vs benchtop practice resulted in 11 and 13 participants in each group. For the rollercoaster, backhand suturing, railroad, and knot tying tasks, a significant improvement in kinematic profiles was observed. Bimanual dexterity, angular motion, and smoothness metrics improved most consistently across the tasks after practice. Kinematic profiles between those practicing on VR versus benchtop had no significant differences.
This study shows that OPIs can be used to benchmark surgical trainees. VR appears to be non-inferior to dry lab model for practice for trainees. We identified patterns in OPI improvement that can be tailored to specific skills depending on the trainees needs. Our study is the first step in developing a standardized training and assessment tool to assess competency in robotic surgery training.
目前有多种手术虚拟现实(VR)模拟器;然而,与台式模型相比,缺乏对这些模拟器上练习后的表现进行比较。利用直观数据记录器(IDR)和客观性能指标(OPI),我们旨在使用干式实验室模型客观评估机器人手术技能。我们假设练习手术技能会改善OPI,并且与使用机器人手术基础(FRS)SimNow VR进行练习的人相比,在干式实验室模型上练习的人在OPI方面会有更大的改善。
当每个参与者在干式实验室台式模型上完成五项基本手术任务以记录基线表现时,使用IDR记录运动学数据。然后将参与者随机分配到干式实验室模型或相应的SimNow虚拟现实(VR)任务上进行练习。参与者在台式模型上再次重复这些任务。使用配对样本t检验、独立样本t检验和方差分析进行统计分析。
27名外科医生参与了我们的研究,从实习生到主治医生。随机分配到VR与台式练习的每组分别有11名和13名参与者。对于过山车、反手缝合、铁路和打结任务,观察到运动学特征有显著改善。练习后,双手灵活性、角运动和平滑度指标在各项任务中改善最为一致。在VR上练习与在台式上练习的人的运动学特征没有显著差异。
本研究表明OPI可用于对外科实习生进行基准测试。对于实习生练习而言,VR似乎不劣于干式实验室模型。我们确定了OPI改善的模式,可根据实习生的需求针对特定技能进行调整。我们的研究是开发标准化培训和评估工具以评估机器人手术培训能力的第一步。