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Development of a computational model for acute ischemic stroke recanalization through cyclic aspiration.
Biomechanics and Modeling in Mechanobiology ( IF 3.0 ) Pub Date : 2019-11-04 , DOI: 10.1007/s10237-019-01247-w
Bryan C Good 1 , Scott Simon 2 , Keefe Manning 1, 3 , Francesco Costanzo 1, 4
Affiliation  

Acute ischemic stroke (AIS), the result of embolic occlusion of a cerebral artery, is responsible for 87% of the 6.5 million stroke-related deaths each year. Despite improvements from first-generation thrombectomy devices for treating AIS, 80% of eligible stroke patients will either die or suffer a major disability. In order to maximize the number of patients with good outcomes, new AIS therapies need to be developed to achieve complete reperfusion on the first pass. One such therapy that has shown promise experimentally is the application of cyclic aspiration pressure, which led to higher recanalization rates at lower pressure magnitudes. In order to investigate AIS and cyclic aspiration recanalization, an improved computational modeling framework was developed, combining a viscoelastic thromboembolus model with a cohesive zone (CZ) model for the thromboembolus–artery interface. The model was first validated against experimental displacement data of a cyclically aspirated thromboembolus analog. The CZ model parameters, including the addition of a damage accumulation model, were then investigated computationally to determine their individual effects on the thromboembolus and CZ behavior. The relaxation time and the damage model critical opening length were shown to have the greatest effect on the CZ opening and led to increased displacement that accumulated with repeated loading. Additional simulations were performed with parameters relevant to AIS including internal carotid artery dimensions and thromboemboli mechanical properties. In these AIS cases, more upstream CZ opening was observed compared to the thromboembolus analog cases and greater displacement was achieved with the lower-frequency aspiration (0.5 vs 1 Hz).

中文翻译:

通过循环抽吸的急性缺血性中风再通计算模型的开发。

急性缺血性中风(AIS)是脑动脉栓塞闭塞的结果,在每年650万例与中风相关的死亡中占87%。尽管用于治疗AIS的第一代血栓切除术设备有所改进,但仍有80%的合格中风患者死亡或患有严重残疾。为了最大化具有良好结果的患者数量,需要开发新的AIS治疗方法以在首次通过时实现完全的再灌注。在实验上显示出希望的一种这样的疗法是循环抽吸压力的施加,其导致在较低压力幅度下更高的再通率。为了研究AIS和循环抽吸再通,开发了一种改进的计算建模框架,将粘弹性血栓栓塞模型与血栓栓塞-动脉界面的内聚区(CZ)模型结合在一起。该模型首先针对循环抽吸血栓栓塞类似物的实验位移数据进行了验证。然后对CZ模型参数(包括添加的损伤累积模型)进行计算研究,以确定它们对血栓栓塞和CZ行为的单独影响。弛豫时间和损伤模型的临界开口长度显示出对CZ开口的最大影响,并导致位移增加并随着反复加载而累积。使用与AIS相关的参数(包括颈内动脉尺寸和血栓栓塞性机械特性)进行其他模拟。在这些AIS情况下,
更新日期:2019-11-04
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