Why the study?
Do haemodynamic variables obtained via MRI and computational fluid dynamics correlate with disease progression in bicuspid aortic valve aortopathy?
Do haemodynamic variables obtained via MRI and computational fluid dynamics correlate with disease progression in bicuspid aortic valve aortopathy?
Haemodynamic variables such as wall shear stress and flow displacement could complement ascending aorta diameter as reliable markers for disease progression and timing of intervention in bicuspid aortic valve aortopathy.
Haemodynamic metrics from MRI/CFD may refine BAV aortopathy risk stratification; extends observational data but leaves clinical adoption open pending validation.
Both genetic and haemodynamic theories explain the aetiology, progression and optimal management of bicuspid aortic valve aortopathy. In recent years, the haemodynamic theory has been explored with the help of magnetic resonance imaging and computational fluid dynamics. The objective of this review was to summarize the findings of these investigations with focus on the blood flow pattern and associated variables, including flow eccentricity, helicity, flow displacement, cusp opening angle, systolic flow angle, wall shear stress (WSS) and oscillatory shear index. A structured literature review was performed from January 1990 to January 2018 and revealed the following 3 main findings: (i) the bicuspid aortic valve is associated with flow eccentricity and helicity in the ascending aorta compared to healthy and diseased tricuspid aortic valve, (ii) flow displacement is easier to obtain than WSS and has been shown to correlate with valve morphology and type of aortopathy and (iii) the stenotic bicuspid aortic valve is associated with elevated WSS along the greater curvature of the ascending aorta, where aortic dilatation and aortic wall thinning are commonly found. We conclude that new haemodynamic variables should complement ascending aorta diameter as an indicator for disease progression and the type and timing of intervention. WSS describes the force that blood flow exerts on the vessel wall as a function of viscosity and geometry of the vessel, making it a potentially more reliable marker of disease progression.
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Edlin et al. (2018) studied this question.
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