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理想左心房模型的边界条件分析。

Boundary-Condition Analysis of an Idealized Left Atrium Model.

机构信息

Departamento de Ingeniería Energética, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, C/ José Gutiérrez Abascal 2, 28006, Madrid, Spain.

Departamento de Ingeniería Energética y Fluidomecánica, Escuela de Ingenierías Industriales, Universidad de Valladolid, Paseo del Cauce 59, 47011, Valladolid, Spain.

出版信息

Ann Biomed Eng. 2021 Jun;49(6):1507-1520. doi: 10.1007/s10439-020-02702-x. Epub 2021 Jan 5.

DOI:10.1007/s10439-020-02702-x
PMID:33403454
Abstract

The most common type of cardiac arrhythmia is atrial fibrillation (AF), which is characterised by irregular and ineffective atrial contraction. This behaviour results into the formation of thrombi, mainly in the left atrial appendage (LAA), responsible for thromboembolic events. Very different approaches are considered as therapy for AF patients. Therefore, it is necessary to yield insight into the flow physics of thrombi formation to determine which is the most appropriate strategy in each case. Computational Fluid Dynamics (CFD) has proven successful in getting a better understanding of the thrombosis phenomenon, but it still requires validation by means of accurate flow field in vivo atrial measurements. As an alternative, in this paper it is proposed an in vitro flow validation, consisting in an idealised model that captures the main flow features observed in the human LA which, once combined with Particle Image Velocimetry (PIV) measurements, provides readily accessible, easy to emulate, detailed velocity fields. These results have been used to validate our laminar and Large Eddy Simulation (LES) simulations. Besides, we have run a parametric study of different boundary conditions sets previously employed in the literature. These data can be used as a benchmark for further development of LA CFD models.

摘要

最常见的心律失常类型是心房颤动 (AF),其特征是心房收缩不规则和无效。这种行为会导致血栓形成,主要在左心耳 (LAA),这是血栓栓塞事件的罪魁祸首。对于 AF 患者,有非常不同的治疗方法。因此,有必要深入了解血栓形成的流动物理学,以确定在每种情况下哪种策略最合适。计算流体动力学 (CFD) 已被证明可以更好地理解血栓形成现象,但仍需要通过准确的体内心房流量测量进行验证。作为替代方案,本文提出了一种体外流量验证,包括一个理想化模型,该模型捕捉了在人体左心房中观察到的主要流动特征,该模型与粒子图像测速 (PIV) 测量相结合,提供了易于访问、易于模拟、详细的速度场。这些结果已用于验证我们的层流和大涡模拟 (LES) 模拟。此外,我们还对文献中先前使用的不同边界条件集进行了参数研究。这些数据可作为进一步开发左心房 CFD 模型的基准。

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Boundary-Condition Analysis of an Idealized Left Atrium Model.理想左心房模型的边界条件分析。
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Res Sq. 2025 May 8:rs.3.rs-6283242. doi: 10.21203/rs.3.rs-6283242/v1.
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A reduced order model formulation for left atrium flow: an atrial fibrillation case.左心房血流的降阶模型公式:房颤病例。
Biomech Model Mechanobiol. 2024 Aug;23(4):1411-1429. doi: 10.1007/s10237-024-01847-1. Epub 2024 May 16.
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A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.
通过结合心房计算流体动力学模拟和患者功能数据进行全面的中风风险评估。
Sci Rep. 2024 Apr 25;14(1):9515. doi: 10.1038/s41598-024-59997-2.
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J Nephrol. 2024 May;37(4):1063-1075. doi: 10.1007/s40620-024-01894-y. Epub 2024 Apr 9.
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A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.通过结合心房计算流体动力学模拟和患者功能数据进行全面的中风风险评估。
bioRxiv. 2024 Jan 15:2024.01.11.575156. doi: 10.1101/2024.01.11.575156.
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Elevated atrial blood stasis in paroxysmal atrial fibrillation during sinus rhythm: a patient-specific computational fluid dynamics study.窦性心律时阵发性心房颤动患者的心房血液瘀滞增加:一项个体化计算流体动力学研究
Front Cardiovasc Med. 2023 Aug 15;10:1219021. doi: 10.3389/fcvm.2023.1219021. eCollection 2023.
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Subject-specific factors affecting particle residence time distribution of left atrial appendage in atrial fibrillation: A computational model-based study.影响心房颤动患者左心耳颗粒停留时间分布的个体特异性因素:一项基于计算模型的研究
Front Cardiovasc Med. 2023 Mar 13;10:1070498. doi: 10.3389/fcvm.2023.1070498. eCollection 2023.
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Non-Newtonian blood rheology impacts left atrial stasis in patient-specific simulations.非牛顿血液流变学影响特定患者模拟中的左心房停滞。
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