Key result
Uncertainty in inlet pressures and intramyocardial pressures significantly affected all resulting quantities of interest, while uncertainty in elastic modulus only affected the mechanical response of the vascular wall.
Why the study?
Quantitative assessment of simulation output variability due to input uncertainty is essential for integrating cardiovascular simulations into clinical workflows.
Multi-wavelet stochastic expansion provides superior accuracy for uncertainty quantification in patient-specific coronary simulations, demonstrating that inlet and intramyocardial pressure uncertainties significantly affect coronary hemodynamics.
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Pressure uncertainties require robust quantification in coronary simulations; leaves open validation before human translation.
Seo et al. (2019) studied Coronary artery disease (computational simulation) (n=6). Uncertainty quantification in computational models was evaluated on Variability in branch pressure, flow, wall shear stress, and wall deformation. Uncertainty in inlet pressures and intramyocardial pressures significantly affected all resulting quantities of interest, while uncertainty in elastic modulus only affected the mechanical response of the vascular wall.
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