Atrial fibrillation (AF) is associated to a five-fold increase in the risk of stroke and AF strokes are especially severe. Stroke risk is connected to several AF related morphological and functional remodeling mechanisms which favor blood stasis and clot formation inside the left atrium. Yet, stroke risk scores used clinically are based on very generic empirical factors and, hence, their reported predictive power remains low. The goal of this study was therefore to develop a patient-specific computational fluid dynamics model of the left atrium which could quantify the hemodynamic implications of atrial fibrillation on a patient-specific basis. Our analysis can provide a suitable tool for stroke risk stratification and therapy planning. In this paper, we present the developed model as well as its application to two AF patients.

Masci, A., Alessandrini, M., Forti, D., Menghini, F., Dedé, L., Tommasi, C., et al. (2017). A Patient-Specific Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation: Development and Initial Evaluation. Cham : Springer International Publishing AG [10.1007/978-3-319-59448-4_37].

A Patient-Specific Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation: Development and Initial Evaluation

MASCI, ALESSANDRO;ALESSANDRINI, MARTINO;CORSI, CRISTIANA
2017

Abstract

Atrial fibrillation (AF) is associated to a five-fold increase in the risk of stroke and AF strokes are especially severe. Stroke risk is connected to several AF related morphological and functional remodeling mechanisms which favor blood stasis and clot formation inside the left atrium. Yet, stroke risk scores used clinically are based on very generic empirical factors and, hence, their reported predictive power remains low. The goal of this study was therefore to develop a patient-specific computational fluid dynamics model of the left atrium which could quantify the hemodynamic implications of atrial fibrillation on a patient-specific basis. Our analysis can provide a suitable tool for stroke risk stratification and therapy planning. In this paper, we present the developed model as well as its application to two AF patients.
2017
Functional Imaging and Modelling of the Heart. FIMH 2017. Lecture Notes in Computer Science
392
400
Masci, A., Alessandrini, M., Forti, D., Menghini, F., Dedé, L., Tommasi, C., et al. (2017). A Patient-Specific Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation: Development and Initial Evaluation. Cham : Springer International Publishing AG [10.1007/978-3-319-59448-4_37].
Masci, Alessandro; Alessandrini, Martino; Forti, Davide; Menghini, Filippo; Dedé, Luca; Tommasi, Corrado; Quarteroni, Alfio; Corsi, Cristiana...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/596537
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