The virtual reality simulator dV-TrainerA® is a valid assessment tool for robotic surgical skills
The virtual reality simulator dV-TrainerA® is a valid assessment tool for robotic surgical skills
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DOI：
10.1007/s00464-012-2237-0
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发表时间：
2012-09-01
影响因子：
3.1
通讯作者：
Hubert, Jacques
中科院分区：
文献类型：
--
作者：
Perrenot, Cyril;Perez, Manuela;Hubert, Jacques
机器人辅助设备等微创技术的指数级发展提出了如何评估机器人手术技能的问题。早期开发的虚拟模拟器提供了有效的工具，腹腔镜技能认证的基础上，客观评分，高可用性，低成本。然而，机器人训练缺乏类似的评估。本研究的目的是评估一种新型虚拟机器人手术模拟器的可靠性、外观、内容、结构和并行有效性等几个标准。本前瞻性研究于2009年12月至2010年4月使用三台模拟器dV-Trainers（A（R））（MIMIC Technologies（A（R）和一台Da芬奇S-A（R）（Intuitive Surgical（A（R）进行。75名受试者根据他们的初始手术训练分为五组，根据机器人特定技能的五种代表性练习进行评估：3D感知，抓持，视觉力反馈，EndoWrist（A（R））操作和摄像机控制。分析提取自（1）问卷调查（真实性和兴趣），（2）模拟器自动生成的数据，以及（3）两位专家对机器人类似练习的非个性化视频的主观评分。面部和内容有效性通常被认为很高（77%）。通过模拟器明确识别了五个能力水平（ANOVA; p = 0.0024）。dV-Trainer的自动数据与机器人的主观评价之间有很强的相关性（r = 0.822）。评分信度高（r = 0.851）。最相关的标准是运动的时间和经济性。最相关的练习是Pick and Place和Ring and Rail。dV-Trainer（A（R））模拟器被证明是评估机器人手术基本技能的有效工具。
Exponential development of minimally invasive techniques, such as robotic-assisted devices, raises the question of how to assess robotic surgery skills. Early development of virtual simulators has provided efficient tools for laparoscopic skills certification based on objective scoring, high availability, and lower cost. However, similar evaluation is lacking for robotic training. The purpose of this study was to assess several criteria, such as reliability, face, content, construct, and concurrent validity of a new virtual robotic surgery simulator.This prospective study was conducted from December 2009 to April 2010 using three simulators dV-Trainers(A (R)) (MIMIC Technologies(A (R))) and one Da Vinci S-A (R) (Intuitive Surgical(A (R))). Seventy-five subjects, divided into five groups according to their initial surgical training, were evaluated based on five representative exercises of robotic specific skills: 3D perception, clutching, visual force feedback, EndoWrist(A (R)) manipulation, and camera control. Analysis was extracted from (1) questionnaires (realism and interest), (2) automatically generated data from simulators, and (3) subjective scoring by two experts of depersonalized videos of similar exercises with robot.Face and content validity were generally considered high (77 %). Five levels of ability were clearly identified by the simulator (ANOVA; p = 0.0024). There was a strong correlation between automatic data from dV-Trainer and subjective evaluation with robot (r = 0.822). Reliability of scoring was high (r = 0.851). The most relevant criteria were time and economy of motion. The most relevant exercises were Pick and Place and Ring and Rail.The dV-Trainer(A (R)) simulator proves to be a valid tool to assess basic skills of robotic surgery.