Content and Construct Validation of a Robotic Surgery Curriculum Using an Electromagnetic Instrument Tracker
Content and Construct Validation of a Robotic Surgery Curriculum Using an Electromagnetic Instrument Tracker
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DOI：
10.1016/j.juro.2012.05.005
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发表时间：
2012-09-01
影响因子：
6.6
通讯作者：
Lendvay, Thomas S.
中科院分区：
文献类型：
--
作者：
Tausch, Timothy J.;Kowalewski, Timothy M.;Lendvay, Thomas S.
目的：机器人辅助手术的快速采用已经超过了我们培养新手机器人专家的能力。客观指标需要充分评估机器人的手术技能，但熟练程度的替代品，如运动经济性和刀具轨迹指标，不容易直接从达芬奇(R)机器人系统中获得。trakSTAR （TM）工具尖端跟踪器是一种广泛使用的、具有成本效益的电磁位置传感机制，通过该机制可以量化客观熟练度指标。我们使用trakSTAR设备验证了机器人手术课程，以客观地捕获机器人任务熟练度指标。材料和方法：通过机构审查委员会批准的研究，从2个手术经验组（新手和有经验组）中招募10名受试者。所有受试者使用带有trakSTAR装置的达芬奇机器人完成3个技术技能模块，包括块转移、体内缝合/打结（腹腔镜手术基础）和环塔转移。记录的目标指标包括任务时间和路径长度，用于计算运动经济性。使用STATA (R)进行学生t检验统计。结果：新手组和经验组各5人。有经验的一组在所有3项任务中都优于新手组。经验丰富的外科医生认为模拟器平台对培训很有用，并同意将其纳入住院医师课程。结论：机器人手术课程可以通过现成的仪器跟踪系统进行验证。该平台允许外科教育工作者客观地评估受训者，并可能为认证办公室提供客观评估任何在机构中寻求机器人手术特权的外科工作人员的手段。
Purpose: Rapid adoption of robot-assisted surgery has outpaced our ability to train novice roboticists. Objective metrics are required to adequately assess robotic surgical skills and yet surrogates for proficiency, such as economy of motion and tool path metrics, are not readily accessible directly from the da Vinci (R) robot system. The trakSTAR (TM) Tool Tip Tracker is a widely available, cost-effective electromagnetic position sensing mechanism by which objective proficiency metrics can be quantified. We validated a robotic surgery curriculum using the trakSTAR device to objectively capture robotic task proficiency metrics.Materials and Methods: Through an institutional review board approved study 10 subjects were recruited from 2 surgical experience groups (novice and experienced). All subjects completed 3 technical skills modules, including block transfer, intracorporeal suturing/knot tying (fundamentals of laparoscopic surgery) and ring tower transfer, using the da Vinci robot with the trakSTAR device affixed to the robotic instruments. Recorded objective metrics included task time and path length, which were used to calculate economy of motion. Student t test statistics were performed using STATA (R).Results: The novice and experienced groups consisted of 5 subjects each. The experienced group outperformed the novice group in all 3 tasks. Experienced surgeons described the simulator platform as useful for training and agreed with incorporating it into a residency curriculum.Conclusions: Robotic surgery curricula can be validated by an off-the-shelf instrument tracking system. This platform allows surgical educators to objectively assess trainees and may provide credentialing offices with a means of objectively assessing any surgical staff member seeking robotic surgery privileges at an institution.