Impact of left atrial wall motion assumptions in fluid simulations on proposed predictors of thrombus formation

Kjeldsberg, Henrik A.; Albors, Carlos; Mill, Jordi; Viladés-Medel, David; Camara, Oscar; Sundnes, Joakim; Valen-Sendstad, Kristian

doi:http://dx.doi.org/10.1002/cnm.3825

Impact of left atrial wall motion assumptions in fluid simulations on proposed predictors of thrombus formation

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Kjeldsberg HA, Albors C, Mill J, Viladés Medel D, Camara O, Sundnes J, et al. Impact of left atrial wall motion assumptions in fluid simulations on proposed predictors of thrombus formation. Int J Numer Method Biomed Eng. 2024 Jun;40(6):e3825. DOI: 10.1002/cnm.3825

Abstract

Atrial fibrillation (AF) poses a significant risk of stroke due to thrombus formation, which primarily occurs in the left atrial appendage (LAA). Medical image-based computational fluid dynamics (CFD) simulations can provide valuable insight into patient-specific hemodynamics and could potentially enhance personalized assessment of thrombus risk. However, the importance of accurately representing the left atrial (LA) wall dynamics has not been fully resolved. In this study, we compared four modeling scenarios; rigid walls, a generic wall motion based on a reference motion, a semi-generic wall motion based on patient-specific motion, and patient-specific wall motion based on medical images. We considered a LA geometry acquired from 4D computed tomography during AF, systematically performed convergence tests to assess the numerical accuracy of our solution strategy, and quantified the differences between the four approaches. The results revealed that wall motion had no discernible impact on LA cavity hemodynamics, nor on the markers that indicate thrombus formation. However, the flow patterns within the LAA deviated significantly in the rigid model, indicating that the assumption of rigid walls may lead to errors in the estimated risk factors. In contrast, the generic, semi-generic, and patient-specific cases were qualitatively similar. The results highlight the crucial role of wall motion on hemodynamics and predictors of thrombus formation, and also demonstrate the potential of using a generic motion model as a surrogate for the more complex patient-specific motion. While the present study considered a single case, the employed CFD framework is entirely open-source and designed for adaptability, allowing for integration of additional models and generic motions.