A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data
A. Zingaro, Z. Ahmad, E. Kholmovski, K. Sakata, L. Dede', A. K. Morris, A. Quarteroni, N. A. Trayanova
This study combines cardiac magnetic resonance and patient-specific computational fluid dynamics to improve stroke risk assessment by showing that normalizing hemodynamic features with stroke volume, rather than ejection fraction, better differentiates stroke from control patients.
bioRxiv · Jan 11, 2024Bioengineering