Why the study?
How cardiac blood flow patterns are affected by ventricular wall thickening and inter-patient variability in HCM is not known.
Do personalized computational fluid dynamics models reveal differences in blood flow patterns and energetics between hypertrophic cardiomyopathy and normal hearts?
Do personalized computational fluid dynamics models reveal differences in blood flow patterns and energetics between hypertrophic cardiomyopathy and normal hearts?
Personalized computational fluid dynamics modeling demonstrates that hypertrophic cardiomyopathy alters left ventricular blood flow patterns and energy transfer timing compared to normal hearts.
Animal HCM models suggest altered LV energetics warrant human CFD validation; leaves open clinical translation.
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.
No takes yet. Share an insight, caveat, or question.
Baenen et al. (2023) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: