title: Comparative finite element model analysis of ascending aortic flow in bicuspid and tricuspid aortic valve.
abstract: In bicuspid aortic valve (BAV) disease, the role of genetic and hemodynamic factors influencing ascending aortic pathology is controversial. To test the effect of BAV geometry on ascending aortic flow, a finite element analysis was undertaken. A surface model of aortic root and ascending aorta was obtained from magnetic resonance images of patients with BAV and tricuspid aortic valve using segmentation facilities of the image processing code Vascular Modeling Toolkit (developed at the Mario Negri Institute). Analytical models of bicuspid (antero-posterior [AP], type 1 and latero-lateral, type 2 commissures) and tricuspid orifices were mathematically defined and turned into a volumetric mesh of linear tetrahedra for computational fluid dynamics simulations. Numerical simulations were performed with the finite element code LifeV. Flow velocity fields were assessed for four levels: aortic annulus, sinus of Valsalva, sinotubular junction, and ascending aorta. Comparison of finite element analysis of bicuspid and tricuspid aortic valve showed different blood flow velocity pattern. Flow in bicuspid configurations showed asymmetrical distribution of velocity field toward the convexity of mid-ascending aorta returning symmetrical in distal ascending aorta. On the contrary, tricuspid flow was symmetrical in each aortic segment. Comparing type 1 BAV with type 2 BAV, more pronounced recirculation zones were noticed in the latter. Finally, we found that in both BAV configurations, maximum wall shear stress is highly localized at the convex portion of the mid-ascending aorta level. Comparison between models showed asymmetrical and higher flow velocity in bicuspid models, in particular in the AP configuration. Asymmetry was more pronounced at the aortic level known to be more exposed to aneurysm formation in bicuspid patients. This supports the hypothesis that hemodynamic factors may contribute to ascending aortic pathology in this subset of patients.
authors.affiliation: University of Verona, Italy.
authors.forename: Francesca
authors.initials: F
authors.lastname: Viscardi
authors.forename: Christian
authors.initials: C
authors.lastname: Vergara
authors.forename: Luca
authors.initials: L
authors.lastname: Antiga
authors.forename: Sabrina
authors.initials: S
authors.lastname: Merelli
authors.forename: Alessandro
authors.initials: A
authors.lastname: Veneziani
authors.forename: Giovanni
authors.initials: G
authors.lastname: Puppini
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Faggian
authors.forename: Alessandro
authors.initials: A
authors.lastname: Mazzucco
authors.forename: Giovanni Battista
authors.initials: GB
authors.lastname: Luciani
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001011:Aorta / Q000473:pathology / Q000503:physiopathology*; D001021:Aortic Valve / Q000473:pathology / Q000503:physiopathology*; D006330:Heart Defects, Congenital / Q000473:pathology / Q000503:physiopathology*; D006439:Hemodynamics; D006801:Humans; D008279:Magnetic Resonance Imaging; D008875:Middle Aged; D008955:Models, Cardiovascular; D014261:Tricuspid Valve / Q000473:pathology / Q000503:physiopathology*; D055815:Young Adult