首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >A Finite Element Method to Predict Adverse Events in Intracranial Stenting Using Microstents: In Vitro Verification and Patient Specific Case Study
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A Finite Element Method to Predict Adverse Events in Intracranial Stenting Using Microstents: In Vitro Verification and Patient Specific Case Study

机译:一种使用微支架预测颅内支架内不良事件的有限元方法:体外验证和患者特定案例研究

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Clinical studies have demonstrated the efficacy of stent supported coiling for intra-cranial aneurysm treatment. Despite encouraging outcomes, some matters are yet to be addressed. In particular closed stent designs are influenced by the delivery technique and may suffer from under-expansion, with the typical effect of "hugging" the inner curvature of the vessel which seems related to adverse events. In this study we propose a novel finite element (FE) environment to study potential failure able to reproduce the microcatheter "pull-back" delivery technique. We first verified our procedure with published in vitro data and then replicated the intervention on one patient treated with a 4.5 x 22 mm Enterprise microstent (Codman Neurovascular; Raynham MA, USA). Results showed good agreement with the in vitro test, catching both size and location of the malapposed area. A simulation of a 28 mm stent in the same geometry highlighted the impact of the delivery technique, which leads to larger area of malapposition. The patient specific simulation matched the global stent configuration and zones prone to malapposition shown on the clinical images with difference in tortuosity between actual and virtual treatment around 2.3%. We conclude that the presented FE strategy provides an accurate description of the stent mechanics and, after further in vivo validation and optimization, will be a tool to aid clinicians to anticipate the acute procedural outcome avoiding poor initial results.
机译:临床研究表明,支架支撑的线圈治疗颅内动脉瘤的疗效。尽管取得了令人鼓舞的成果,但仍有一些问题尚待解决。特别地,闭合支架的设计受输送技术的影响,并且可能会膨胀不足,具有“抱住”血管内曲率的典型效果,这似乎与不良事件有关。在这项研究中,我们提出了一种新颖的有限元(FE)环境,以研究能够重现微导管“回拉”输送技术的潜在故障。我们首先用已公布的体外数据验证了我们的程序,然后对接受4.5 x 22 mm企业微支架治疗的一名患者进行了重复干预(Codman Neurovascular;美国马萨诸塞州雷纳姆)。结果表明与体外测试吻合良好,捕捉了异常部位的大小和位置。对具有相同几何形状的28 mm支架的仿真突出了输送技术的影响,这导致了更大的错位面积。特定于患者的模拟匹配了整体支架的配置和临床图像上显示的容易发生错位的区域,实际和虚拟治疗之间的曲折度差异约为2.3%。我们得出的结论是,提出的有限元策略提供了支架力学的准确描述,并且在进一步的体内验证和优化之后,将成为帮助临床医生预测急性手术结果,避免不良初始结果的工具。

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