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A comprehensive mathematical model for cardiac perfusion
The aim of this paper is to introduce a new mathematical model that simulates myocardial blood perfusion that accounts for multiscale and multiphysics features. Our model incorporates cardiac electrophysiology, active and passive mechanics, hemodynamics, valve modeling, and a multicompartment Darcy...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469210/ https://www.ncbi.nlm.nih.gov/pubmed/37648701 http://dx.doi.org/10.1038/s41598-023-41312-0 |
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author | Zingaro, Alberto Vergara, Christian Dede’, Luca Regazzoni, Francesco Quarteroni, Alfio |
author_facet | Zingaro, Alberto Vergara, Christian Dede’, Luca Regazzoni, Francesco Quarteroni, Alfio |
author_sort | Zingaro, Alberto |
collection | PubMed |
description | The aim of this paper is to introduce a new mathematical model that simulates myocardial blood perfusion that accounts for multiscale and multiphysics features. Our model incorporates cardiac electrophysiology, active and passive mechanics, hemodynamics, valve modeling, and a multicompartment Darcy model of perfusion. We consider a fully coupled electromechanical model of the left heart that provides input for a fully coupled Navier–Stokes–Darcy model for myocardial perfusion. The fluid dynamics problem is modeled in a left heart geometry that includes large epicardial coronaries, while the multicompartment Darcy model is set in a biventricular myocardium. Using a realistic and detailed cardiac geometry, our simulations demonstrate the biophysical fidelity of our model in describing cardiac perfusion. Specifically, we successfully validate the model reliability by comparing in-silico coronary flow rates and average myocardial blood flow with clinically established values ranges reported in relevant literature. Additionally, we investigate the impact of a regurgitant aortic valve on myocardial perfusion, and our results indicate a reduction in myocardial perfusion due to blood flow taken away by the left ventricle during diastole. To the best of our knowledge, our work represents the first instance where electromechanics, hemodynamics, and perfusion are integrated into a single computational framework. |
format | Online Article Text |
id | pubmed-10469210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104692102023-09-01 A comprehensive mathematical model for cardiac perfusion Zingaro, Alberto Vergara, Christian Dede’, Luca Regazzoni, Francesco Quarteroni, Alfio Sci Rep Article The aim of this paper is to introduce a new mathematical model that simulates myocardial blood perfusion that accounts for multiscale and multiphysics features. Our model incorporates cardiac electrophysiology, active and passive mechanics, hemodynamics, valve modeling, and a multicompartment Darcy model of perfusion. We consider a fully coupled electromechanical model of the left heart that provides input for a fully coupled Navier–Stokes–Darcy model for myocardial perfusion. The fluid dynamics problem is modeled in a left heart geometry that includes large epicardial coronaries, while the multicompartment Darcy model is set in a biventricular myocardium. Using a realistic and detailed cardiac geometry, our simulations demonstrate the biophysical fidelity of our model in describing cardiac perfusion. Specifically, we successfully validate the model reliability by comparing in-silico coronary flow rates and average myocardial blood flow with clinically established values ranges reported in relevant literature. Additionally, we investigate the impact of a regurgitant aortic valve on myocardial perfusion, and our results indicate a reduction in myocardial perfusion due to blood flow taken away by the left ventricle during diastole. To the best of our knowledge, our work represents the first instance where electromechanics, hemodynamics, and perfusion are integrated into a single computational framework. Nature Publishing Group UK 2023-08-30 /pmc/articles/PMC10469210/ /pubmed/37648701 http://dx.doi.org/10.1038/s41598-023-41312-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zingaro, Alberto Vergara, Christian Dede’, Luca Regazzoni, Francesco Quarteroni, Alfio A comprehensive mathematical model for cardiac perfusion |
title | A comprehensive mathematical model for cardiac perfusion |
title_full | A comprehensive mathematical model for cardiac perfusion |
title_fullStr | A comprehensive mathematical model for cardiac perfusion |
title_full_unstemmed | A comprehensive mathematical model for cardiac perfusion |
title_short | A comprehensive mathematical model for cardiac perfusion |
title_sort | comprehensive mathematical model for cardiac perfusion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469210/ https://www.ncbi.nlm.nih.gov/pubmed/37648701 http://dx.doi.org/10.1038/s41598-023-41312-0 |
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