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Article

Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients

1
BioCardioLab, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, Italy
2
Department of Information Engineering, University of Pisa, Via Girolamo Caruso 16, 56122 Pisa, Italy
3
Radiology Unit, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, Italy
4
Adult Cardiology Unit, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, Italy
*
Author to whom correspondence should be addressed.
Current address: Via Aurelia Sud, Heart Hospital, 54100 Massa, Italy.
These authors contributed equally to this work.
Appl. Sci. 2020, 10(4), 1448; https://doi.org/10.3390/app10041448
Received: 29 January 2020 / Revised: 16 February 2020 / Accepted: 18 February 2020 / Published: 20 February 2020
(This article belongs to the Special Issue Computer-aided Biomedical Imaging 2020: Advances and Prospects)
The left atrial appendage (LAA) is a complex cardiovascular structure which can yield to thrombi formation in patients with non-valvular atrial fibrillation (AF). The study of LAA fluid dynamics together with morphological features should be investigated in order to evaluate the possible connection of geometrical and hemodynamics indices with the stroke risk. To reach this goal, we conducted a morphological analysis of four different LAA shapes considering their variation during the cardiac cycle and computational fluid dynamics (CFD) simulations in AF conditions were carried out. The analysis of main geometrical LAA parameters showed a huger ostium and a reduced motility for the cauliflower and cactus shapes, as well as a lower velocity values from the CFD analysis. Such findings are in line with literature and highlight the importance of coupling dynamics imaging data with CFD calculations for providing information not available at clinical level. View Full-Text
Keywords: left atrial appendage; atrial fibrillation; computational fluid dynamics; image processing; morphological analysis left atrial appendage; atrial fibrillation; computational fluid dynamics; image processing; morphological analysis
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MDPI and ACS Style

Fanni, B.M.; Capellini, K.; Di Leonardo, M.; Clemente, A.; Cerone, E.; Berti, S.; Celi, S. Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients. Appl. Sci. 2020, 10, 1448. https://doi.org/10.3390/app10041448

AMA Style

Fanni BM, Capellini K, Di Leonardo M, Clemente A, Cerone E, Berti S, Celi S. Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients. Applied Sciences. 2020; 10(4):1448. https://doi.org/10.3390/app10041448

Chicago/Turabian Style

Fanni, Benigno Marco, Katia Capellini, Mario Di Leonardo, Alberto Clemente, Elisa Cerone, Sergio Berti, and Simona Celi. 2020. "Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients" Applied Sciences 10, no. 4: 1448. https://doi.org/10.3390/app10041448

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