CardioVascular Research Innovation in Surgery & Engineering Center, Washington University in St. Louis, St. Louis, Missouri, USA.
Division of Neurotechnology, Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
J R Soc Interface. 2024 Oct;21(219):20240333. doi: 10.1098/rsif.2024.0333. Epub 2024 Oct 23.
Endovascular procedures rely on navigating guidewires, catheters and other devices through tortuous vasculature to treat disease. A critical challenge in these procedures is catheter herniation, in which the device deviates from its intended path, often irrecoverably. To elucidate the mechanics of herniation, we developed a physical flow model of the aortic arch that enables direct measurement of device curvature during experimentally simulated neuroendovascular procedures conducted from an upper arterial access. Combined with measurements of initial, unstressed device shapes and flexural rigidities, the method enables the experimental estimation of the device bending energies during these simulated procedures. Characteristic energy profiles revealed distinct stages in both herniation and successful navigation, governed by the interplay between device properties and vascular anatomy. A deterministic progression from successful navigation to herniation was identified, with catheter systems following paths determined by measurable energy barriers. Increasing guidewire stiffness or decreasing catheter stiffness reduced the energy barrier for successful navigation while increasing that for herniation. This framework enables the prediction of endovascular herniation risk and offers unique insight into improved device design and clinical decision-making.
血管内介入治疗依赖于引导线、导管和其他设备在曲折的脉管系统中穿行,以治疗疾病。在这些手术中,一个关键的挑战是导管疝出,其中设备偏离其预期路径,通常是不可恢复的。为了阐明疝出的力学机制,我们开发了一种主动脉弓的物理流动模型,该模型能够在从上部动脉入路进行的模拟神经血管介入手术中直接测量设备的曲率。结合对初始无应力设备形状和弯曲刚度的测量,该方法能够在这些模拟手术中对设备弯曲能量进行实验估计。特征能量曲线揭示了疝出和成功导航的不同阶段,由设备特性和血管解剖之间的相互作用控制。从成功导航到疝出确定了一种确定性的进展,导管系统遵循由可测量的能量障碍决定的路径。增加导丝刚度或减小导管刚度会降低成功导航的能量障碍,而增加疝出的能量障碍。该框架能够预测血管内疝出的风险,并为改进设备设计和临床决策提供独特的见解。