Refining a numerical model for device-induced thrombosis and investigating the effects of non-Newtonian blood models.
Refining a numerical model for device-induced thrombosis and investigating the effects of non-Newtonian blood models.
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完善装置引起的血栓形成的数值模型并研究非牛顿血液模型的影响。
DOI：
10.1016/j.jbiomech.2021.110393
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发表时间：
2021-05-07
影响因子：
2.4
通讯作者：
Manning KB
中科院分区：
文献类型：
--
作者：
Yang L;Tobin N;Manning KB
血栓形成是器械植入失败的主要原因之一。计算血栓形成模拟是评价器械血栓形成风险的便捷方法。然而，血栓形成是一个复杂的过程，涉及多个物种和反应。应用宏观、单尺度计算模型研究器械诱导血栓形成是一种具有成本效益的方法。目前的研究已经完善了现有的血栓形成模型，该模型通过追踪血液中的四种物质来模拟血栓形成：非活化血小板、活化血小板、表面粘附血小板和ADP。血小板被剪切应力机械激活，并被ADP化学激活。血小板粘附发生在具有低壁剪切应力的表面上，而血小板聚集在高剪切应力区域中受到抑制。该研究通过以下方式改进了现有的血栓形成模型：1）修改化学血小板活化函数，使得ADP活化血小板; 2）修改描述血栓沉积和生长的函数，以区分壁表面上的血栓沉积和现有血栓表面上的血栓生长; 3）修改血栓分解函数，以允许通过剪切应力分解血栓; 4）将血流建模为非牛顿流体。结果表明，包括ADP和非牛顿模型的使用改善与实验数据的一致性。
Thrombosis is one of the main causes of failure in device implantation. Computational thrombosis simulation is a convenient approach to evaluate the risk of thrombosis for a device. However, thrombosis is a complicated process involving multiple species and reactions. Application of a macroscopic, single-scale computational model for device-induced thrombosis is a cost-effective approach. The current study has refined an existing thrombosis model, which simulated thrombosis by tracing four species in blood: non-activated platelets, activated platelets, surface adherent platelets, and ADP. Platelets are activated mechanically by shear stress, and chemically by ADP. Platelet adhesion occurs on surfaces with low wall shear stress with platelet aggregation inhibited in regions of high shear stress. The study improves the existing thrombosis model by: 1) Modifying the chemical platelet activation function so that ADP activates platelets; 2) Modifying the function describing thrombus deposition and growth to distinguish between thrombus deposition on wall surfaces and thrombus growth on existing thrombus surfaces; 3) Modifying the thrombus breakdown function to allow for thrombus breakdown by shear stress; 4) Modeling blood flow as non-Newtonian. The results show that the inclusion of ADP and the use of a non-Newtonian model improve agreement with experimental data.
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影响因子：
2.2
作者：
Soloviev, MV;Okazaki, Y;Harasaki, H
通讯作者：
Harasaki, H
影响因子：
46.9
作者：
通讯作者：
--
DOI：
10.1115/1.4027488
发表时间：
2014-10-01
影响因子：
1.7
作者：
Marrero, Victor L.;Tichy, John A.;Jansen, Kenneth E.
通讯作者：
Jansen, Kenneth E.
影响因子：
3.8
作者：
Goodman, PD;Barlow, ET;Solen, KA
通讯作者：
Solen, KA
DOI：
10.1016/j.cma.2007.06.030
发表时间：
2008-01-01
影响因子：
7.2
作者：
Fogelson, Aaron L.;Guy, Robert D.
通讯作者：
Guy, Robert D.