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心房颤动时左心房血栓形成风险的数值预测

Numerical prediction of thrombosis risk in left atrium under atrial fibrillation.

作者信息

Wang Yan, Qiao Yong Hui, Mao Yan Kai, Jiang Chen Yang, Fan Jian Ren, Luo Kun

机构信息

State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China.

Department of Diagnostic Ultrasound and Echocardiography, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

出版信息

Math Biosci Eng. 2020 Feb 10;17(3):2348-2360. doi: 10.3934/mbe.2020125.

Abstract

The remodeling of the left atrial morphology and function caused by atrial fibrillation (AF) can exacerbate thrombosis in the left atrium (LA) even spike up the risk of stroke within AF patients. This study explored the effect of the AF on hemodynamic and thrombosis in LA. We reconstructed the patient-specific anatomical shape of the LA and considered the non-Newtonian property of the blood. The thrombus model was applied in the LA models to simulate thrombosis. Our results indicate that AF can aggravate thrombosis which mainly occurs in the left atrial appendage (LAA). Thrombosis first forms on the LAA wall then expands toward the internal LAA. The proposed computational model also shows the potential application of numerical analyses to help assess the risk of thrombosis in AF patients.

摘要

心房颤动(AF)引起的左心房形态和功能重塑会加剧左心房(LA)内的血栓形成,甚至增加房颤患者中风的风险。本研究探讨了房颤对左心房血流动力学和血栓形成的影响。我们重建了患者特异性的左心房解剖形状,并考虑了血液的非牛顿特性。将血栓模型应用于左心房模型以模拟血栓形成。我们的结果表明,房颤会加重血栓形成,血栓主要发生在左心耳(LAA)。血栓首先在左心耳壁上形成,然后向心耳内部扩展。所提出的计算模型还显示了数值分析在帮助评估房颤患者血栓形成风险方面的潜在应用。

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