Physense, BCN Medtech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain.
Inria, Université Côte d'Azur, Epione team, 06902, Sophia Antipolis, France.
Sci Rep. 2024 Mar 11;14(1):5860. doi: 10.1038/s41598-024-56658-2.
Atrial fibrillation (AF) is the most common human arrhythmia, forming thrombi mostly in the left atrial appendage (LAA). However, the relation between LAA morphology, blood patterns and clot formation is not yet fully understood. Furthermore, the impact of anatomical structures like the pulmonary veins (PVs) have not been thoroughly studied due to data acquisition difficulties. In-silico studies with flow simulations provide a detailed analysis of blood flow patterns under different boundary conditions, but a limited number of cases have been reported in the literature. To address these gaps, we investigated the influence of PVs on LA blood flow patterns and thrombus formation risk through computational fluid dynamics simulations conducted on a sizeable cohort of 130 patients, establishing the largest cohort of patient-specific LA fluid simulations reported to date. The investigation encompassed an in-depth analysis of several parameters, including pulmonary vein orientation (e.g., angles) and configuration (e.g., number), LAA and LA volumes as well as their ratio, flow, and mass-less particles. Our findings highlight the total number of particles within the LAA as a key parameter for distinguishing between the thrombus and non-thrombus groups. Moreover, the angles between the different PVs play an important role to determine the flow going inside the LAA and consequently the risk of thrombus formation. The alignment between the LAA and the main direction of the left superior pulmonary vein, or the position of the right pulmonary vein when it exhibits greater inclination, had an impact to distinguish the control group vs. the thrombus group. These insights shed light on the intricate relationship between PV configuration, LAA morphology, and thrombus formation, underscoring the importance of comprehensive blood flow pattern analyses.
心房颤动(AF)是最常见的人类心律失常,主要在左心耳(LAA)形成血栓。然而,LAA 形态、血流模式和血栓形成之间的关系尚未完全了解。此外,由于数据采集困难,肺静脉(PVs)等解剖结构的影响尚未得到彻底研究。血流模拟的计算研究提供了不同边界条件下血流模式的详细分析,但在文献中报告的案例数量有限。为了解决这些差距,我们通过对 130 名患者的大规模队列进行计算流体动力学模拟,研究了 PVs 对 LA 血流模式和血栓形成风险的影响,建立了迄今为止报告的最大患者特异性 LA 流体模拟队列。该研究包括对几个参数的深入分析,包括肺静脉的方向(例如角度)和形态(例如数量)、LAA 和 LA 的体积及其比值、流量和无质量粒子。我们的研究结果突出了 LAA 内的总粒子数是区分血栓和非血栓组的关键参数。此外,不同 PV 之间的角度对于确定进入 LAA 的流量以及血栓形成的风险起着重要作用。LAA 与左上肺静脉的主要方向对齐,或者当右肺静脉倾斜度较大时,其位置对齐,对区分对照组与血栓组有影响。这些见解揭示了 PV 配置、LAA 形态和血栓形成之间复杂的关系,强调了全面血流模式分析的重要性。