Armstrong Ryan, Noltie Dayna, Eagleson Roy, De Ribaupierre Sandrine
Biomedical Engineering, University of Western Ontario.
Schulich School of Medicine, University of Western Ontario.
Stud Health Technol Inform. 2016;220:29-32.
As one of the most commonly performed neurosurgical procedures, ventriculostomy training simulators are becoming increasingly familiar features in research institutes and teaching facilities. Despite their widespread implementations and adoption, simulators to date have not fully explored the landscape of performance metrics that reflect surgical proficiency. They opt instead for measures that are qualitative or simple to compute and conceptualize. In this paper, we examine and compare the use of various metrics to characterize the performance of users on simulated part-task ventriculostomy scenarios derived from patient data. As an initial study, we examine how our metrics relate to expert classification of scenario difficulty as well as measures of anatomical variation.
作为最常实施的神经外科手术之一,脑室造口术训练模拟器在研究机构和教学设施中越来越常见。尽管它们已被广泛应用,但迄今为止,模拟器尚未充分探索反映手术熟练程度的性能指标领域。相反,它们选择的是定性或易于计算和概念化的测量方法。在本文中,我们研究并比较了各种指标的使用情况,以表征用户在源自患者数据的模拟部分任务脑室造口术场景中的表现。作为一项初步研究,我们考察了我们的指标与场景难度的专家分类以及解剖变异测量之间的关系。