Hypertrophic Cardiomyopathy Treatment – A Numerical Study

Nardi, Asaph; Bar, Guy; Retzabi, Naama; Firer, Michael A.; Avrahami, Idit

doi:10.1007/978-3-030-43195-2_3

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…On the other hand, in image-based CFD, the patient-specific displacement of the myocardium and valves leaflets is reconstructed from kinetic medical images (such as cardiac cine-MRI) and then prescribed as endocardial displacement to obtain the fluid domain configuration. This latter approach, by reducing the mathematical complexity of the problem with respect to a full FSI system, at the expense of requiring a more complex image processing procedure, has provided insightful indications on cardiovascular diseases in a series of reports ( D’Elia et al, 2011 ; Seo et al, 2014 ; Chnafa et al, 2016 ; Otani et al, 2016 ; Su et al, 2016 ; Bavo et al, 2017 ; This et al, 2020 ), including the computational study of HCM ( Deng et al, 2018 ; Nardi et al, 2019 ; Fumagalli et al, 2020 ). In all the quoted references, the reconstruction of the endocardium geometry was mainly based on the sole short-axis acquisition series, whereas long-axis views are only employed to identify some specific points or distances.…”

Section: Introductionmentioning

confidence: 99%

Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy

et al. 2022

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Hypertrophic Cardiomyopathy (HCM) is a pathological condition characterized by an abnormal thickening of the myocardium. When affecting the medio-basal portion of the septum, it is named Hypertrophic Obstructive Cardiomyopathy (HOCM) because it induces a flow obstruction in the left ventricular outflow tract. In any type of HCM, the myocardial function can become compromised, possibly resulting in cardiac death. In this study, we investigated with computational analysis the hemodynamics of patients with different types of HCM. The aim was quantifying the effects of this pathology on the intraventricular blood flow and pressure gradients, and providing information potentially useful to guide the indication and the modality of the surgical treatment (septal myectomy). We employed an image-based computational approach, integrating fluid dynamics simulations with geometric and functional data, reconstructed from standard cardiac cine-MRI acquisitions. We showed that with our approach we can better understand the patho-physiological behavior of intraventricular blood flow dynamics due to the abnormal morphological and functional aspect of the left ventricle. The main results of our investigation are: (a) a detailed patient-specific analysis of the blood velocity, pressure and stress distribution associated to HCM; (b) a computation-based classification of patients affected by HCM that can complement the current clinical guidelines for the diagnosis and treatment of HOCM.

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Section: Introductionmentioning

confidence: 99%

Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy

et al. 2022

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“…On the other hand, in image-based CFD, the displacement of the myocardium and valves leaflets is reconstructed from kinetic medical images and then prescribed as endocardial data to obtain the fluid domain configuration. This latter approach, that reduces the mathematical complexity of the problem with respect to a full FSI system, at the expense of a more complex image processing procedure, has been shown to provide insightful indications on cardiovascular pathologies in a series of works, including the computational study of HCM and LV hemodynamics as in [12], [13], [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Image-based computational hemodynamics analysis of systolic obstruction in hypertrophic cardiomyopathy

Fumagalli

Vitullo

Scrofani

et al. 2021

Preprint

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Hypertrophic Cardiomyopathy (HCM) is a pathological condition characterized by an abnormal thickening of the myocardium. When it affects the medio-basal portion of the septum, it is named Hypertrophic Obstructive Cardiomyopathy because it induces a flow obstruction in the left ventricle outflow tract, which may compromise the cardiac function and possibly lead to cardiac death. In this work, we investigate the hemodynamics of different HCM patients by means of computational hemodynamics, aiming at quantifying the effects of this pathology on blood flow and pressure gradients and thus providing clinical indications that may help diagnosis and the design of surgical treatment (septal myectomy). To this aim, we employ an enhanced version of an image-based computational pipeline proposed in a previous work, integrating fluid dynamics simulations with geometrical and functional data reconstructed from standard cine-MRI acquisitions. Blood flow is modelled as an incompressible Newtonian fluid, The corresponding Navier-Stokes equations are solved in a moving domain obtained from cine-MRI, whereas the valve leaflets are accounted for by a resistive method.

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Hypertrophic Cardiomyopathy Treatment – A Numerical Study

Cited by 2 publications

References 21 publications

Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy

Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy

Image-based computational hemodynamics analysis of systolic obstruction in hypertrophic cardiomyopathy

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