title: Simulation of oxygen transfer in stented arteries and correlation with in-stent restenosis.
abstract: Computational models are used to study the combined effect of biomechanical and biochemical factors on coronary in-stent restenosis, which is a postoperative remodeling and regrowth pathology of the stented arteries. More precisely, we address numerical simulations, on the basis of Navier-Stokes and mass transport equations, to study the role of perturbed wall shear stresses and reduced oxygen concentration in a geometrical model reconstructed from a real porcine artery treated with a stent. Joining in vivo and in silico tools of investigation has multiple benefits in this case. On one hand, the geometry of the arterial wall and of the stent closely correspond to a real implanted configuration. On the other hand, the inspection of histological tissue samples informs us on the location and intensity of in-stent restenosis. As a result, we are able to correlate geometrical factors, such as the axial variation of the artery diameter and its curvature; the numerical quantification of biochemical stimuli, such as wall shear stresses; and the availability of oxygen to the inner layers of the artery, with the appearance of in-stent restenosis. This study shows that the perturbation of the vessel curvature could induce hemodynamic conditions that stimulate undesired arterial remodeling.
authors.affiliation: LaBS, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Caputo
authors.forename: C
authors.initials: C
authors.lastname: Chiastra
authors.forename: C
authors.initials: C
authors.lastname: Cianciolo
authors.forename: E
authors.initials: E
authors.lastname: Cutrì
authors.forename: G
authors.initials: G
authors.lastname: Dubini
authors.forename: J
authors.initials: J
authors.lastname: Gunn
authors.forename: B
authors.initials: B
authors.lastname: Keller
authors.forename: F
authors.initials: F
authors.lastname: Migliavacca
authors.forename: P
authors.initials: P
authors.lastname: Zunino
mesh_terms: D000818:Animals; D003198:Computer Simulation; D023903:Coronary Restenosis / Q000378:metabolism*; D006439:Hemodynamics / Q000502:physiology; D008955:Models, Cardiovascular; D010100:Oxygen / Q000378:metabolism*; D062645:Percutaneous Coronary Intervention; D015607:Stents; D013552:Swine
chemical_list: D010100:Oxygen
keywords: computational hemodynamics; in-stent restenosis; oxygen transport; percutaneous coronary intervention