Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational Modeling
Hypertrophic cardiomyopathy (HCM) is a congenital heart disease characterized by thickening of the heart’s left ventricle (LV) wall that can lead to cardiac dysfunction and heart failure. Ventricular wall thickening affects the motion of cardiac walls and blood flow within the heart. Because abnorma...
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Format: | Article |
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MDPI AG
2023-09-01
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Series: | Journal of Cardiovascular Development and Disease |
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Online Access: | https://www.mdpi.com/2308-3425/10/10/411 |
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author | Owen Baenen Angie Carolina Carreño-Martínez Theodore P. Abraham Sandra Rugonyi |
author_facet | Owen Baenen Angie Carolina Carreño-Martínez Theodore P. Abraham Sandra Rugonyi |
author_sort | Owen Baenen |
collection | DOAJ |
description | Hypertrophic cardiomyopathy (HCM) is a congenital heart disease characterized by thickening of the heart’s left ventricle (LV) wall that can lead to cardiac dysfunction and heart failure. Ventricular wall thickening affects the motion of cardiac walls and blood flow within the heart. Because abnormal cardiac blood flow in turn could lead to detrimental remodeling of heart walls, aberrant ventricular flow patterns could exacerbate HCM progression. How blood flow patterns are affected by hypertrophy and inter-patient variability is not known. To address this gap in knowledge, we present here strategies to generate personalized computational fluid dynamics (CFD) models of the heart LV from patient cardiac magnetic resonance (cMR) images. We performed simulations of CFD LV models from three cases (one normal, two HCM). CFD computations solved for blood flow velocities, from which flow patterns and the energetics of flow within the LV were quantified. We found that, compared to a normal heart, HCM hearts exhibit anomalous flow patterns and a mismatch in the timing of energy transfer from the LV wall to blood flow, as well as changes in kinetic energy flow patterns. While our results are preliminary, our presented methodology holds promise for in-depth analysis of HCM patient hemodynamics in clinical practice. |
first_indexed | 2024-03-10T21:11:08Z |
format | Article |
id | doaj.art-c35454dcc8894491b12a737462fc576b |
institution | Directory Open Access Journal |
issn | 2308-3425 |
language | English |
last_indexed | 2024-03-10T21:11:08Z |
publishDate | 2023-09-01 |
publisher | MDPI AG |
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series | Journal of Cardiovascular Development and Disease |
spelling | doaj.art-c35454dcc8894491b12a737462fc576b2023-11-19T16:50:35ZengMDPI AGJournal of Cardiovascular Development and Disease2308-34252023-09-01101041110.3390/jcdd10100411Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational ModelingOwen Baenen0Angie Carolina Carreño-Martínez1Theodore P. Abraham2Sandra Rugonyi3Department of Mechanical Engineering, Rice University, Houston, TX 77005, USAUSCF HCM Center, Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USAUSCF HCM Center, Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USABiomedical Engineering Department, Oregon Health & Science University, Portland, OR 97239, USAHypertrophic cardiomyopathy (HCM) is a congenital heart disease characterized by thickening of the heart’s left ventricle (LV) wall that can lead to cardiac dysfunction and heart failure. Ventricular wall thickening affects the motion of cardiac walls and blood flow within the heart. Because abnormal cardiac blood flow in turn could lead to detrimental remodeling of heart walls, aberrant ventricular flow patterns could exacerbate HCM progression. How blood flow patterns are affected by hypertrophy and inter-patient variability is not known. To address this gap in knowledge, we present here strategies to generate personalized computational fluid dynamics (CFD) models of the heart LV from patient cardiac magnetic resonance (cMR) images. We performed simulations of CFD LV models from three cases (one normal, two HCM). CFD computations solved for blood flow velocities, from which flow patterns and the energetics of flow within the LV were quantified. We found that, compared to a normal heart, HCM hearts exhibit anomalous flow patterns and a mismatch in the timing of energy transfer from the LV wall to blood flow, as well as changes in kinetic energy flow patterns. While our results are preliminary, our presented methodology holds promise for in-depth analysis of HCM patient hemodynamics in clinical practice.https://www.mdpi.com/2308-3425/10/10/411hemodynamicspatient-specific modelingcomputer simulationheart functionhypertrophic cardiomyopathycardiac flow |
spellingShingle | Owen Baenen Angie Carolina Carreño-Martínez Theodore P. Abraham Sandra Rugonyi Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational Modeling Journal of Cardiovascular Development and Disease hemodynamics patient-specific modeling computer simulation heart function hypertrophic cardiomyopathy cardiac flow |
title | Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational Modeling |
title_full | Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational Modeling |
title_fullStr | Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational Modeling |
title_full_unstemmed | Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational Modeling |
title_short | Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational Modeling |
title_sort | energetics of cardiac blood flow in hypertrophic cardiomyopathy through individualized computational modeling |
topic | hemodynamics patient-specific modeling computer simulation heart function hypertrophic cardiomyopathy cardiac flow |
url | https://www.mdpi.com/2308-3425/10/10/411 |
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