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DOI 10.1016/j.cmpb.2024.108428

Медицинская библиотека · Computer methods and programs in biomedicine · 2024

Patient-specific pulmonary venous flow characterization and its impact on left atrial appendage thrombosis in atrial fibrillation patients.

Fang Runxin, Wang Zidun, Wang Jiaqiu, Gu Jiayu, Yin Geman, Chen Qiang, Xia Xunrong, Li Zhiyong

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Аннотация

BACKGROUND

Cardioembolic strokes are commonly occurred in non-valvular atrial fibrillation (AF) patients, with over 90% of cases originating from clot in left atrial appendage (LAA), which is believed to be greatly related with hemodynamic characters. Numerical simulation is widely accepted in the hemodynamic analysis, and patient-specific boundaries are required for realistic numerical simulations.

METHOD: This paper firstly proposed a method that maps personalized pulmonary venous flow (PVF) by utilizing the volume changes of the left atrium (LA) over the cardiac cycle. Then we used data from patients with AF to investigate the correlation between PVF patterns and hemodynamics within the LAA. Meanwhile, we conducted a fluid-structure interaction analysis to assess the impact of velocity- and time-related PVF parameters on LAA hemodynamic characters.

RESULTS

The analysis reveal that the ratio of systolic to diastolic peak velocity (VS/VD), and systolic velocity-time integral (VTI) showed a significant influence on LAA velocity in patients with atrial fibrillation, and the increases of velocity- and time-related parameters were found to be positively correlated with the blood update in the LAA.

CONCLUSIONS

This study established a method for mapping patient-specific PVF based on LA volume change, and evaluated the relationship between PVF parameters and thrombosis risk. The present work provides an insight from PVF characters to evaluate the risk of thrombus formation within LAA in patients with AF.

Для цитирования: Fang Runxin, Wang Zidun, Wang Jiaqiu, Gu Jiayu, Yin Geman, Chen Qiang, Xia Xunrong, Li Zhiyong. Patient-specific pulmonary venous flow characterization and its impact on left atrial appendage thrombosis in atrial fibrillation patients.. Computer methods and programs in biomedicine. 2024. DOI: 10.1016/j.cmpb.2024.108428.

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