Key result
Fluid-structure simulations of mitral valve hemodynamics match Doppler mean velocities within an ~8% difference.
Why the study?
Patient-specific simulations may provide insights into mitral valve function and hemodynamic information for treatment planning, requiring validation against clinical imaging.
Does a patient-specific fluid-structure interaction simulation accurately predict mitral valve hemodynamics compared to echocardiography and MRI in healthy volunteers?
Does a patient-specific fluid-structure interaction simulation accurately predict mitral valve hemodynamics compared to echocardiography and MRI in healthy volunteers?
A computational fluid-structure interaction framework can accurately predict patient-specific mitral valve hemodynamics, offering a potential tool for personalized surgical planning.
High variability cautions against clinical use in planning; leaves open validation in diseased valves.
BACKGROUND: The mitral valve is essential for proper heart function. Patient-specific simulations may provide insights into valve function and provide hemodynamic information for treatment planning. This study presents a framework for patient-specific mitral valve hemodynamic prediction and the validation of the simulation model against echocardiographic and MRI data. METHODS: Ten healthy volunteers (age range/median: 1-37/13 years) underwent echocardiographic exams, of which five also underwent cardiac MRI. Patient-specific mitral valve geometries were segmented from 3D echocardiograms, while mass flow boundary conditions were derived from left ventricular volume data obtained via echocardiography and MRI. The mitral apparatus, including the chordae, was modeled in a simplified left heart and simulated in a computational model using fluid-structure interaction. RESULTS: The simulations captured the valvular behavior and hemodynamics of the left heart throughout the cardiac cycle. We found an average difference of 3.6 ± 29 % and 8.3 ± 22 % in the maximum and mean transvalvular velocity compared to Doppler data. Echocardiography underestimated end-systolic and end-diastolic volumes by 1.8 ± 20 % and 19 ± 3.8 % compared to MRI. The average maximum principal strain over the mitral valve was 5.8 % during systole and 6.7 % during diastole, consistent with literature. CONCLUSIONS: A computational framework for clinically feasible patient-specific prediction of mitral valve hemodynamics was developed and validated in vivo in the largest cohort presented to date. Computational time was acceptable for clinical planning. This is a step towards personalized surgical planning of valve repair and an increased understanding of the hemodynamics and mitral valve function after intervention.
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Christierson et al. (2025) studied Healthy volunteers (n=10). Fluid-structure interaction simulations vs. Echocardiography and MRI was evaluated on Maximum and mean transvalvular velocity. Fluid-structure interaction simulations of mitral valve hemodynamics showed an average difference of 3.6 ± 29% and 8.3 ± 22% in maximum and mean transvalvular velocity compared to Doppler data.
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