Qiu Michael Y, Suskin Charles B, Becerra-Garcia Juan J, Roberts Sophia H, Rucker DeVaughn G, Zayed Mohamed A, Osbun Joshua W, Genin Guy M
CardioVascular Research Innovation in Surgery & Engineering Center, Washington University in St. Louis, Missouri, USA.
Division of Neurotechnology, Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Res Sq. 2023 Dec 14:rs.3.rs-3736325. doi: 10.21203/rs.3.rs-3736325/v1.
Endovascular surgical procedures require the navigation of catheters and wires through the vasculature to reach distal target sites. Quantitative frameworks for device selection hold the potential to improve the tracking of endovascular devices through vascular anatomy by personalizing the device flexural rigidity to an individual's anatomy. However, data are lacking to facilitate this technology, in part because typical endovascular devices have intricate spatial variations in mechanical properties that are challenging and tedious to quantify repeatably. We therefore developed a three-point bend test methodology using a custom rig and applied it to measure lengthwise flexural rigidity profiles of endovascular devices that are used to target the cerebral vasculature. The methodology demonstrated high repeatability and was able to characterize transition zones. We applied the methodology to generate the first comprehensive, quantitative library of device flexural rigidities, spanning guidewires, intermediate guides, and long sheaths. We observed that these three classes of device have properties that fall into distinct ranges. Additional plots examining relationships between flexural rigidity, device diameter, and length revealed application-specific trends in flexural properties. This methodology and the data allow for standardized characterization and comparisons to aid device selection, and have the potential to both enhance surgical planning and inform future innovation.
血管内外科手术需要将导管和导丝通过脉管系统导航至远端目标部位。设备选择的定量框架有潜力通过根据个体解剖结构个性化定制设备的弯曲刚度，来改善血管内设备在血管解剖结构中的跟踪。然而，目前缺乏促进这项技术发展的数据，部分原因是典型的血管内设备在机械性能方面存在复杂的空间变化，要对其进行可重复的量化既具有挑战性又很繁琐。因此，我们开发了一种使用定制装置的三点弯曲测试方法，并将其应用于测量用于靶向脑血管系统的血管内设备的纵向弯曲刚度分布。该方法具有很高的重复性，并且能够表征过渡区域。我们应用该方法生成了第一个全面的、定量的设备弯曲刚度库，涵盖导丝、中间导管和长鞘管。我们观察到这三类设备的性能落在不同的范围内。进一步绘制的检查弯曲刚度、设备直径和长度之间关系的图表揭示了弯曲性能的特定应用趋势。这种方法和数据允许进行标准化的表征和比较，以辅助设备选择，并且有潜力既加强手术规划又为未来的创新提供信息。
