Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Division of Neurosurgery, Department of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Division of Neurosurgery, Department of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
World Neurosurg. 2021 Nov;155:e369-e381. doi: 10.1016/j.wneu.2021.08.061. Epub 2021 Aug 20.
Ex vivo animal brain simulation models are being increasingly used for neurosurgical training because these models can replicate human brain conditions. The goal of the present report is to provide the neurosurgical community interested in using ex vivo animal brain simulation models with guidelines for comprehensively and rigorously conducting, documenting, and assessing this type of research.
In consultation with an interdisciplinary group of physicians and researchers involved in ex vivo models and a review of the literature on the best practices guidelines for simulation research, we developed the "ex vivo brain model to assess surgical expertise" (EVBMASE) checklist. The EVBMASE checklist provides a comprehensive quantitative framework for analyzing and reporting studies involving these models. We applied The EVBMASE checklist to the studies reported of ex vivo animal brain models to document how current ex vivo brain simulation models are used to train surgical expertise.
The EVBMASE checklist includes defined subsections and a total score of 20, which can help investigators improve studies and provide readers with techniques to better assess the quality and any deficiencies of the research. We classified 18 published ex vivo brain models into modified (group 1) and nonmodified (group 2) models. The mean total EVBMASE score was 11 (55%) for group 1 and 4.8 (24.2%) for group 2, a statistically significant difference (P = 0.006) mainly attributed to differences in the simulation study design section (P = 0.003).
The present findings should help contribute to more rigorous application, documentation, and assessment of ex vivo brain simulation research.
体外动物脑模拟模型越来越多地被用于神经外科培训,因为这些模型可以复制人类大脑的状况。本报告的目的是为有兴趣使用体外动物脑模拟模型的神经外科界提供全面、严格地进行、记录和评估此类研究的指南。
我们咨询了从事体外模型的跨学科医生和研究人员小组,并回顾了关于模拟研究最佳实践指南的文献,制定了“体外脑模型评估手术技能”(EVBMASE)检查表。EVBMASE 检查表为分析和报告涉及这些模型的研究提供了全面的定量框架。我们将 EVBMASE 检查表应用于报道的体外动物脑模型研究,以记录当前体外脑模拟模型如何用于培训手术技能。
EVBMASE 检查表包括定义的小节和总分 20 分,可帮助研究人员改进研究,并为读者提供更好地评估研究质量和任何缺陷的技术。我们将 18 个已发表的体外脑模型分为改良型(第 1 组)和非改良型(第 2 组)。第 1 组的总 EVBMASE 评分为 11(55%),第 2 组为 4.8(24.2%),差异具有统计学意义(P=0.006),主要归因于模拟研究设计部分的差异(P=0.003)。
本研究结果应有助于更严格地应用、记录和评估体外脑模拟研究。