Why the study?
To quantify the effects of HCM on intraventricular blood flow and pressure gradients using computational analysis, and provide information potentially useful to guide indications and modalities for surgical septal myectomy.
Observational (n=3)
No
Image-based computational hemodynamics using standard cine-MRI can provide detailed patient-specific analysis of intraventricular blood flow and pressure gradients to potentially guide surgical treatment in hypertrophic cardiomyopathy.
May aid individualized HCM surgical planning; leaves open need for larger prospective validation of cine-MRI CFD.
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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Fumagalli et al. (2022) conducted an observational in Hypertrophic Cardiomyopathy (n=3). Image-based computational fluid dynamics (CFD) analysis was evaluated on Intraventricular pressure gradient and flow obstruction duration. Patient-specific computational fluid dynamics simulations in three patients with hypertrophic cardiomyopathy revealed that systolic flow obstruction lasted for approximately 30% of the systolic phase.
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