Title
Identification of Hemodynamically Optimal Coronary Stent Designs Based on Vessel Caliber.
Abstract
Coronary stent design influences local patterns of wall shear stress (WSS) that are associated with neointimal growth, restenosis, and the endothelialization of stent struts. The number of circumferentially repeating crowns NC for a given stent de- sign is often modified depending on the target vessel caliber, but the hemodynamic implications of altering NC have not previously been studied. In this investigation, we analyzed the relationship between vessel diameter and the hemodynamically optimal NC using a derivative-free optimization algorithm coupled with computational fluid dynamics. The algorithm computed the optimal vessel diameter, defined as minimizing the area of stent-induced low WSS, for various configurations (i.e., NC) of a generic slotted-tube design and designs that resemble commercially available stents. Stents were modeled in idealized coronary arteries with a vessel diameter that was allowed to vary between 2 and 5 mm. The results indicate that the optimal vessel diameter increases for stent configurations with greater NC, and the designs of current commercial stents incorporate a greater NC than hemodynamically optimal stent designs. This finding suggests that reducing the NC of current stents may improve the hemodynamic environment within stented arteries and reduce the likelihood of excessive neointimal growth and thrombus formation.
Year
DOI
Venue
2012
10.1109/TBME.2012.2196275
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
haemodynamics,geometry,optimization,wall shear stress,wss,algorithms,shear strength,algorithm design,computer aided design,algorithm design and analysis,computational modeling,computer model,hemodynamics,derivative free optimization,computational fluid dynamics,solid modeling
Restenosis,Coronary artery disease,Coronary arteries,Thrombus,Caliber,Stent,Computer science,Internal medicine,Cardiology,Optimization algorithm,Coronary stent
Journal
Volume
Issue
ISSN
59
7
0018-9294
Citations 
PageRank 
References 
1
0.40
1
Authors
5
Name
Order
Citations
PageRank
Timothy J. Gundert110.40
Alison Marsden2528.83
Weiguang Yang310.40
David S. Marks410.40
John F. LaDisa Jr.510.73