A multiscale computational approach predicted haemodynamic changes from carotid stenosis but yielded results not significantly different from a stand-alone approach.
Does a multiscale approach improve the prediction of haemodynamic changes in carotid artery stenosis compared to stand-alone models?
A multiscale computational approach effectively predicts haemodynamic changes in carotid stenosis, though it yields similar results to a stand-alone approach using pre-derived flows due to the dominant role of outside districts.
This work addresses the problem of prescribing proper boundary conditions at the artificial boundaries that separate the vascular district from the remaining part of the circulatory system. A multiscale (MS) approach is used where the Navier–Stokes equations for the district of interest are coupled to a non-linear system of ordinary differential equations which describe the circulatory system. This technique is applied to three 3D models of a carotid bifurcation with increasing stenosis resembling three phases of a plaque growth. The results of the MS simulations are compared to those obtained by two stand-alone models. The MS shows a great flexibility in numerically predicting the haemodynamic changes due to the presence of a stenosis. Nonetheless, the results are not significantly different from a stand-alone approach where flows derived by the MS without stenosis are imposed. This is a consequence of the dominant role played by the outside districts with respect to the stenosis resistance.
Balossino et al. (Mon,) conducted a other in Carotid artery stenosis. Multiscale computational modeling approach vs. Stand-alone computational models was evaluated on Haemodynamic changes due to the presence of a stenosis. A multiscale computational approach predicted haemodynamic changes from carotid stenosis but yielded results not significantly different from a stand-alone approach.