A Novel Training Method for Endovascular Clot Retrieval Using a Portable Vascular Model and Red Film

IF 1.2 Q4 CLINICAL NEUROLOGY
Tetsuya Ioku, Tomotaka Ohshima, R. Kawaguchi, N. Matsuo, Shigeru Miyachi
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引用次数: 0

Abstract

Hands-on training is a crucial part of education in neuroendovascular treatment to ensure safe and rapid acquisition of techniques. However, there is a significant gap between training and actual clinical practice. This study will introduce innovations for more practical thrombus retrieval training that was developed in this process. A Smart Vascular Model 3 in 1 was used. A pink pseudothrombus was inserted into the M1 (horizontal segment of the middle cerebral artery) section of the model. Then, a “red underlay” purchased at a stationery store was placed to cover the proximal part of M1 and beyond so that the pseudothrombus was not visible. The thrombus was retrieved during training by looking for the location of the thrombus based on the behavior and resistance of the tip of the guidewire and deployment of the stent retriever. The participants were required to have detailed observation skills and precise manipulation skills using a red film to prevent the direct visualization of the pseudothrombus. The implementation of this innovation to the previous hands-on training made the training more practical and effective. If the exact thrombus location can be determined by the behavior of the wire tip, the device’s capabilities can be maximized, and rapid retrieval can be expected. It could also reduce complications, as unnecessary peripheral guidance of the device could be avoided.
使用便携式血管模型和红膜进行血管内血块检索的新型培训方法
实践培训是神经内血管治疗教育的重要组成部分,可确保安全、快速地掌握技术。然而,培训与实际临床实践之间存在很大差距。本研究将介绍在此过程中开发的更实用的血栓取出培训创新方法。使用的是智能血管模型 3 合 1。在模型的 M1(大脑中动脉水平段)部分插入粉红色假血栓。然后,在文具店购买了一块 "红色衬垫",覆盖在 M1 的近端和远端,这样就看不到假血栓了。在训练过程中,根据导丝尖端的行为和阻力以及支架牵引器的展开情况寻找血栓的位置,从而取回血栓。要求学员掌握细致的观察技能和精确的操作技能,使用红色薄膜防止直接看到假血栓。在以往的实训基础上进行创新,使培训更加实用有效。如果能通过导线尖端的行为确定血栓的确切位置,就能最大限度地发挥设备的功能,并有望实现快速取栓。这还可以减少并发症,因为可以避免不必要的设备外围引导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
0.00%
发文量
34
审稿时长
12 weeks
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