Nejati-Aghdam Afsoon, Tavallaei M Ali
Medical Devices and Systems LabToronto Metropolitan University Toronto ON M5B 2K3 Canada.
Electrical, Computer, and Biomedical Engineering DepartmentToronto Metropolitan University Toronto ON M5B 2K3 Canada.
IEEE Open J Eng Med Biol. 2023 Jan 6;3:227-234. doi: 10.1109/OJEMB.2022.3233778. eCollection 2022.
In this study, we investigated the feasibility of predicting the performance of a specific guidewire in terms of its ability to cover a lesion cap surface and apply force to the lesion for a given patient's vessel anatomy. The aim of this research was to provide information that could be used to plan occlusion crossings and peripheral revascularization procedures preoperatively in a way that reduces the risk of potential intraoperative complications and increases the likelihood of success. We used finite element (FE) analysis to simulate the interaction between the guidewire and a model of a tortuous vessel, and we used this simulation to predict the reachable workspace and deliverable forces of the device for various entry positions and angles. We then validated these predictions through experiments in which we advanced a guidewire through an identical vessel phantom using a robotic manipulator. Our findings suggest that it may be possible to predict the performance of a guidewire and forecast the likelihood of success or failure for a given vessel anatomy and lesion morphology, which could enable improved planning and device selection.
在本研究中,我们根据特定导丝覆盖病变帽表面以及针对给定患者血管解剖结构向病变施加力的能力,研究了预测其性能的可行性。本研究的目的是提供可用于术前规划闭塞穿越和外周血管重建手术的信息,以降低潜在术中并发症的风险并提高成功的可能性。我们使用有限元(FE)分析来模拟导丝与曲折血管模型之间的相互作用,并利用该模拟预测设备在各种进入位置和角度下可到达的工作空间和可施加的力。然后,我们通过实验验证了这些预测,在实验中我们使用机器人操纵器将导丝推进相同的血管模型。我们的研究结果表明,对于给定的血管解剖结构和病变形态,有可能预测导丝的性能并预测成功或失败的可能性,这可以改进手术规划和设备选择。