From the Applied Sciences and Technology Institute (ST-V, JSP, CFD, MAP-C), National Autonomous University of Mexico, Ciudad Universitaria; Neurology and Neurosurgery Service Unit (AFH-V), General Hospital of Mexico "Dr. Eduardo Liceaga"; Directorate of Education and Training in Health, General Hospital of Mexico "Dr. Eduardo Liceaga" (MAC-G), Mexico City, Mexico.
Simul Healthc. 2021 Aug 1;16(4):285-294. doi: 10.1097/SIH.0000000000000489.
Microsurgery clipping is one of the most challenging surgical interventions in neurosurgery. The opportunities to train residents are scarce, but the need for accumulating practice is mandatory. New simulating tools are needed for skill learning.
The design, implementation, and assessment of a new hybrid aneurysm clipping simulator are presented. It consists of an ergonomic workstation with a patient head mannequin and a physics-based virtual reality simulation with bimanual haptic feedback. The simulator recreates scenarios of microsurgery from the patient fixation and the exploration of the brain lobes through Sylvian fissure and vascular structures to the aneurysm clipping. Skill metrics were introduced, including monitoring of gestures movements, exerted forces, tissue displacements, and precision in clipping.
Two experimental conditions were tested: (1) simple clipping without brain tissue exploration and (2) clipping the aneurysm with brain Sylvian fissure exploration. Differences in the bimanual gestures were observed between both conditions. The quantitative measurements of tissue displacement of the brain lobes exhibited more tissue retrieval for the surgical gestures of neurosurgeons. Appraisal with questionnaires showed positive scores by neurosurgeons in all items evaluating the usability and realism of the simulator.
The simulator was well accepted and feasible for training purposes. The analysis of the interactions with virtual tissues offers information to establish differential and common patterns between tested groups and thus useful metrics for skill evaluation of practitioners. Future work can lead to other tasks during the intervention and the inclusion of more clinical cases.
显微手术夹闭是神经外科中最具挑战性的手术干预之一。住院医师培训的机会很少,但积累实践经验是强制性的。需要新的模拟工具来进行技能学习。
介绍了一种新的混合动脉瘤夹闭模拟器的设计、实现和评估。它由一个符合人体工程学的工作站组成,配有患者头部模型和基于物理的虚拟现实模拟,具有双手触觉反馈。该模拟器再现了从患者固定到通过大脑外侧裂和血管结构探索大脑叶,再到动脉瘤夹闭的显微手术场景。引入了技能指标,包括监测手势动作、施加的力、组织位移和夹闭的精度。
测试了两种实验条件:(1)不进行脑组织探索的简单夹闭,(2)通过大脑外侧裂探索进行动脉瘤夹闭。在这两种情况下,双手手势都存在差异。大脑叶组织位移的定量测量显示,神经外科医生的手术手势会引起更多的组织取出。问卷调查评估显示,神经外科医生对模拟器的可用性和真实性的所有评价项目均给予了积极评分。
该模拟器易于接受,可用于培训目的。对与虚拟组织的相互作用进行分析,可以提供信息,以确定测试组之间的差异和共同模式,从而为从业人员的技能评估提供有用的指标。未来的工作可以将更多的临床病例纳入到干预过程中的其他任务中。