Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients
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...
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MDPI AG
2020-02-01
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Online Access: | https://www.mdpi.com/2076-3417/10/4/1448 |
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author | Benigno Marco Fanni Katia Capellini Mario Di Leonardo Alberto Clemente Elisa Cerone Sergio Berti Simona Celi |
author_facet | Benigno Marco Fanni Katia Capellini Mario Di Leonardo Alberto Clemente Elisa Cerone Sergio Berti Simona Celi |
author_sort | Benigno Marco Fanni |
collection | DOAJ |
description | 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. |
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issn | 2076-3417 |
language | English |
last_indexed | 2024-04-13T17:34:04Z |
publishDate | 2020-02-01 |
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series | Applied Sciences |
spelling | doaj.art-48d5e3371f91425c9afed420c8e912882022-12-22T02:37:28ZengMDPI AGApplied Sciences2076-34172020-02-01104144810.3390/app10041448app10041448Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation PatientsBenigno Marco Fanni0Katia Capellini1Mario Di Leonardo2Alberto Clemente3Elisa Cerone4Sergio Berti5Simona Celi6BioCardioLab, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, ItalyBioCardioLab, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, ItalyBioCardioLab, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, ItalyRadiology Unit, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, ItalyAdult Cardiology Unit, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, ItalyAdult Cardiology Unit, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, ItalyBioCardioLab, Fondazione Toscana Gabriele Monasterio, Via Aurelia Sud, 54100 Massa, ItalyThe 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.https://www.mdpi.com/2076-3417/10/4/1448left atrial appendageatrial fibrillationcomputational fluid dynamicsimage processingmorphological analysis |
spellingShingle | Benigno Marco Fanni Katia Capellini Mario Di Leonardo Alberto Clemente Elisa Cerone Sergio Berti Simona Celi Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients Applied Sciences left atrial appendage atrial fibrillation computational fluid dynamics image processing morphological analysis |
title | Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients |
title_full | Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients |
title_fullStr | Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients |
title_full_unstemmed | Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients |
title_short | Correlation between LAA Morphological Features and Computational Fluid Dynamics Analysis for Non-Valvular Atrial Fibrillation Patients |
title_sort | correlation between laa morphological features and computational fluid dynamics analysis for non valvular atrial fibrillation patients |
topic | left atrial appendage atrial fibrillation computational fluid dynamics image processing morphological analysis |
url | https://www.mdpi.com/2076-3417/10/4/1448 |
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