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颅内动脉瘤手术模拟培训方法的评论-系统评价。

Comment on - "Simulation training approaches in intracranial aneurysm surgery-a systematic review".

机构信息

Lab in Biotechnology and Biosignal Transduction, Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, TN, 600 077, India.

出版信息

Neurosurg Rev. 2024 Oct 12;47(1):784. doi: 10.1007/s10143-024-02984-y.

Abstract

With the increasing complexity of intracranial aneurysm surgery and the reduced opportunities for hands-on training, there is a need for effective simulation-based training methods. This systematic review examines 26 studies on various simulation training approaches for intracranial aneurysm clipping, including ex vivo methods, virtual reality platforms, and 3D-printed models. The review evaluates these methods based on their effectiveness, realism, usability, and validation, highlighting that current simulation models are heterogeneous and lack standardization. Most existing simulations fail to replicate the complete microsurgical workflow, and their validation methods vary widely, limiting generalizability. The review recommends developing a standardized, comprehensive, and cost-effective simulation model that incorporates advanced haptic feedback and detailed anatomical features. Future research should focus on creating a universal validation framework to reliably assess simulation efficacy and ensure that neurosurgical trainees receive consistent, high-quality training experiences.

摘要

随着颅内动脉瘤手术的日益复杂以及实际操作训练机会的减少,需要采用有效的基于模拟的培训方法。本系统评价研究了 26 项关于颅内动脉瘤夹闭术各种模拟培训方法的研究,包括离体方法、虚拟现实平台和 3D 打印模型。该评价根据其有效性、真实性、可用性和验证情况对这些方法进行了评估,突出表明目前的模拟模型具有异质性且缺乏标准化。大多数现有的模拟无法复制完整的显微手术流程,而且其验证方法差异很大,限制了其通用性。该评价建议开发一种标准化、全面且具有成本效益的模拟模型,该模型应结合先进的触觉反馈和详细的解剖特征。未来的研究应集中于创建一个通用的验证框架,以可靠地评估模拟效果,并确保神经外科受训者获得一致且高质量的培训体验。

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