Characterization of the relationship between bicuspid aortic valve morphology and hemodynamics

Abstract

Background: Bicuspid aortic valve (BAV) is the most common congenital heart defect affecting 1-2% of the US population. BAV has been associated with progressive secondary pathologies, such as aortic valve calcification, stenosis, regurgitation, aortic root dilatation, and/or aortic aneurysm. However, not all patients exhibit symptoms or develop aortopathy and the exact link between BAV morphology and disease progression is not fully understood. Magnetic resonance imaging (MRI) has been previously used to characterize BAV hemodynamics. However, studies have been hampered by the need for lengthy manual data analysis thereby limiting reproducibility and/or integration into a clinically feasible workflow. Methods: This work develops and applies a novel semi-automated technique to characterize geometry and hemodynamics of the aorta and the aortic valve based on 2D bSSFP cine and 4D flow MRI data. The protocol was applied to a cohort of 30 BAV and 30 control subjects. The table summarizes the preliminary analysis (performed on a 12 by 12 subset of the original 30 by 30 cohort) of the demographics of the subject cohort. The analysis was performed at several cross-sectional locations across the ascending aorta (see figure 1). Statistical differences between the groups were identified and linear regression models were developed to elucidate the potential of this protocol to investigate the risk of disease progression. Results: Geometric metrics (summarized in the table) were found to be significantly larger in the BAV subjects than in the control group (preliminary results are summarized in table 1). The figure illustrates a summary of the preliminary analysis for mean velocity, valve outflow jet angle and flow displacement across the different sections of the ascending aorta. Key findings with respect to hemodynamics include the correlation in the proximal ascending aorta between aorta diameter and mean velocity (negative), jet angle (positive) and flow displacement (positive), in the combined cohort. Conclusions: A semi-automated protocol for the combined analysis of the aortic valve geometry and hemodynamics in the aorta was developed to analyze MRI data obtained with 2D cine and 4D flow MRI. Application of this protocol and a preliminary analysis performed on the subset cohort of 12 BAV and 12 control cases revealed elevated mean velocity, jet angle and forward flow displacement in BAV subjects in the proximal ascending aorta. This study provides a roadmap for comprehensive large cohort assessment of correlations between geometry and hemodynamics associated with BAV disease. (Figure Presented).