Influence of Vessel Geometry, Flow Conditions, and Thrombin Concentration on Fibrin Accumulation and Cerebral Aneurysm Occlusion After Flow Diversion.

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Juan R Cebral, Fernando Mut, Rainald Löhner, Laurel Marsh, Alireza Chitsaz, Cem Bilgin, Esref Bayraktar, David Kallmes, Ramanathan Kadirvel
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Abstract

As the number of cerebral aneurysms treated with flow diverters continues to increase, it is important to understand what factors influence not only thrombus formation within the aneurysm cavity but also fibrin accumulation across the device and its associated disruption and blockage of the inflow stream. Both processes contribute to the eventual occlusion of the aneurysm or its continued patency and incomplete occlusion which may require future re-treatment. To investigate fibrin accumulation on flow diverters placed across the neck of cerebral aneurysms, a previously developed computational model that couples flow and fibrin dynamics is used in combination with experimental in vitro models of cerebral aneurysms treated with flow diverters. Fibrin accumulation was previously investigated in four glass models of cerebral aneurysms with varying parent artery geometries placed in a flow loop at different flow rates. Corresponding computational models were constructed and compared with the experimental findings. The computational model based on fibrin production stimulated from flow shear stress and subsequent adhesion to device wires was able to reproduce and explain the fibrin accumulation patterns observed in the experimental aneurysms treated with flow diverters. Specifically, these models indicated that increasing vessel curvature, flow rate, and thrombin concentration induced faster fibrin accumulation and associated aneurysm inflow disruption and blockage. The models described and tested in this paper are valuable to understand the detailed mechanisms leading to aneurysm occlusion and healing or incomplete occlusions after treatment with flow diverting devices.

血管几何形状、血流条件和凝血酶浓度对分流后纤维蛋白积累和脑动脉瘤闭塞的影响。
随着使用分流器治疗的脑动脉瘤数量不断增加,了解哪些因素不仅影响动脉瘤腔内血栓的形成,还影响装置上纤维蛋白的积累及其相关的流入流的中断和阻塞,这一点非常重要。这两个过程都导致动脉瘤的最终闭塞或其持续通畅和不完全闭塞,这可能需要将来再次治疗。为了研究穿过脑动脉瘤颈部的血流分流器上的纤维蛋白积累,将先前开发的血流和纤维蛋白动力学耦合的计算模型与经血流分流器治疗的脑动脉瘤的体外实验模型结合使用。纤维蛋白积累先前在四个脑动脉瘤玻璃模型中进行了研究,这些模型具有不同的母动脉几何形状,以不同的流速放置在血流环中。建立了相应的计算模型,并与实验结果进行了比较。基于流动剪切应力刺激纤维蛋白产生和随后粘附到装置线的计算模型能够重现和解释在使用分流剂治疗的实验性动脉瘤中观察到的纤维蛋白积累模式。具体来说,这些模型表明,血管曲率、流速和凝血酶浓度的增加会导致纤维蛋白积累加快,并导致动脉瘤流入中断和堵塞。本文所描述和测试的模型对于理解分流装置治疗后导致动脉瘤闭塞和愈合或不完全闭塞的详细机制具有重要价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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