An image-based computational hemodynamics study of the Systolic Anterior Motion of the mitral valve. (August 2020)

• Record Type: Journal Article
• Authors: Fumagalli, Ivan; Fedele, Marco; Vergara, Christian; Dede', Luca; Ippolito, Sonia; Nicolò, Francesca; Antona, Carlo; Scrofani, Roberto; Quarteroni, Alfio
• Is Part Of: Computers in biology and medicine. Volume 123(2020)
• Publication Date: 2020-08
• Subjects: Mitral valve -- Hypertrophic Cardiomyopathy -- Septal myectomy -- Patient-specific simulations -- Computational fluid dynamics -- Image-based CFD -- Cardiac cine-MRI; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2020.103922
• Languages: English
• ISSNs: 0010-4825

Abstract

Abstract: Systolic Anterior Motion (SAM) of the mitral valve – often associated with Hypertrophic Obstructive Cardiomyopathy (HOCM) – is a cardiac pathology in which a functional subaortic stenosis is induced during systole by the mitral leaflets partially obstructing the outflow tract of the left ventricle. Its assessment by diagnostic tests is often difficult, possibly underestimating its severity and thus increasing the risk of heart failure. In this paper, we propose a new computational pipeline, based on cardiac cine Magnetic Resonance Imaging (cine-MRI) data, for the assessment of SAM. The pipeline encompasses image processing of the left ventricle and the mitral valve, and numerical investigation of cardiac hemodynamics by means of Computational Fluid Dynamics (CFD) in a moving domain with image-based prescribed displacement. Patient-specific geometry and motion of the left ventricle are considered in view of an Arbitrary Lagrangian–Eulerian approach for CFD, while the reconstructed mitral valve is immersed in the computational domain by means of a resistive method. We assess clinically relevant flow and pressure indicators in a parametric study for different degrees of SAM severity, in order to provide a better quantitative evaluation of the pathological condition. Moreover, we provide specific indications for its possible surgical treatment, i.e. septal myectomy. Graphical abstract: Highlights: We assess Systolic Anterior Motion (SAM) of the mitral valve. We developed a novel computational pipeline based on cardiac cine-MRI data. Blood flow simulations are driven by patient-specific motion of the left ventricle. The computational approach allows to compare different levels of SAM severity. We obtained preliminary quantitative indications for surgical treatment.