现象学血栓模型和生长速率表征的敏感性分析

G. Melito, A. Jafarinia, T. Hochrainer, K. Ellermann
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引用次数: 3

摘要

主动脉夹层是由主动脉壁撕裂引起的一种严重的心血管疾病。结果,血液穿过管壁,形成一个新的血液通道,称为假腔。假腔内的血流动力学状况可能导致血栓的形成,从而影响患者的诊断和预后。在这项研究中,重点是基于血流动力学的血栓形成模型。由于模型的构建涉及模型参数的不确定性,因此进行了基于方差的敏感性分析。在一个向后的步骤血栓形成被认为是一个基准的数值模拟和敏感性分析。这种几何形状能够表示血栓形成模型的主要贡献。该研究旨在提高对模型结构的理解,并为模型简化做准备,以便将来能够有效地进行针对特定患者的模拟。采用多项式混沌展开模型作为替代模型,推导出定量灵敏度指标。在本研究中,选取了9个模型参数,它们的合适值尚不清楚。考虑的模型响应是血栓的最大体积分数、血栓的发展时间和血栓的生长速度。结果表明,由于一些模型参数对模型的输出几乎没有影响,因此该模型适合于模型简化。与有界血小板浓度和有界血小板反应速率相关的阈值被确定为当前几何中主导血栓模型预测的关键输入参数。此外,所引入的血栓特征生长时间由上述两个变量驱动。
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Sensitivity Analysis of a Phenomenological Thrombosis Model and Growth Rate Characterisation
Aortic dissection is a severe cardiovascular disease caused by the occurrence of a tear in the aortic wall. As a result, the blood penetrates the wall and makes a new blood channel called the false lumen. The haemodynamic conditions in the false lumen may contribute to the formation of thrombi, which influence the patient's diagnosis and outcomes. In this study, the focus is on a haemodynamic-based model of thrombus formation. Since the model construction entails uncertainties in the model parameters, a variance-based sensitivity analysis is performed. Thrombus formation at a backward-facing step is considered as a benchmark for the numerical simulations and sensitivity analysis. This geometry is capable of representing the main contributions of the model in thrombus formation. The study aims at improving the understanding of the model's structure and at preparing model simplifications to enable efficient patient-specific simulations in the future. A polynomial chaos expansion is employed as a surrogate model, from which the quantitative sensitivity indices are derived. In this study, nine model parameters are selected, whose proper values are not well known. The model responses taken into account are the maximum volume fraction of thrombus, its time development, and the thrombus growth rate. The results show that the model lends itself to model reduction since some of the model parameters show little to no influence on the model's outputs. A threshold value related to the concentration of bounded platelets and the bounded platelets reaction rate are identified as the key input parameters dominating the thrombus model predictions in the current geometry. Furthermore, the introduced thrombus characteristic growth time is driven by both the aforementioned variables.
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