title: Predicting neointimal hyperplasia in stented arteries using time-dependant computational fluid dynamics: a review.
abstract: This paper reviews the recent literature regarding the time-dependent computational fluid dynamics (CFD) analyses of blood flow through implanted coronary stents. The in vivo processes which result in arterial restenosis are identified. The definition and range of the computationally predicted variables which are believed to stimulate the restenosis processes are evaluated. The reviewed literature is subdivided into effect-based in which the effects of altering the flow model are investigated and design-based in which different geometric stent configurations are compared. Finally, conclusions are made regarding the body of work reviewed and recommendations are provided for future work in this field.
authors.affiliation: Department of Mechanical Engineering, Dublin Institute of Technology, Ireland. jonathan.murphy@dit.ie
authors.forename: Jonathan
authors.initials: J
authors.lastname: Murphy
authors.forename: Fergal
authors.initials: F
authors.lastname: Boyle
mesh_terms: D015906:Angioplasty, Balloon, Coronary; D001783:Blood Flow Velocity; D003326:Coronary Circulation; D003327:Coronary Disease; D023903:Coronary Restenosis; D003331:Coronary Vessels; D018056:Hemorheology; D006801:Humans; D006965:Hyperplasia; D008955:Models, Cardiovascular; D012039:Regional Blood Flow; D015607:Stents; D017539:Tunica Intima / Q000473:pathology*