Raffaele Ponzini

TL;DR: This study shows that the quantification of helical blood flow in vivo is feasible, and it might allow detection of anomalies in the expected physiological development of helicals flow in aorta and accordingly, could be used in a diagnostic/prognostic index for clinical practice.

TL;DR: The hemodynamics within the aorta of five healthy humans were investigated and group analysis suggested that aortic helical blood flow dynamics is an emerging behavior that is common to normal individuals, and the results suggest that helical flow might be caused by natural optimization of fluid transport processes in the cardiovascular system.

TL;DR: It is concluded that the plausibility of the assumption of idealized velocity profiles as inlet BCs in personalized computational models can lead to misleading representations of the aortic hemodynamics both in terms of disturbed shear and bulk flow structures.

TL;DR: Results confirm that helical flow constitutes an important flow signature in vessels, and its strength as a fluid dynamic index for risk stratification, in the activation of both mechanical and biological pathways leading to fibrointimal hyperplasia.

TL;DR: In subject-specific computational hemodynamics models of the human aorta the imposition of BC settings based on non-invasively measured flow rate waveforms influences indicators of abnormal flow to a large extent and a BCs set-up assuring realistic, subject- specific instantaneous flow rate distribution must be applied when BCs such as flow rates are prescribed.