Mathematical modeling of coupled drug and drug-encapsulated nanoparticle transport in patient-specific coronary artery walls
KAUST DepartmentApplied Mathematics and Computational Science Program
Earth Science and Engineering Program
Environmental Science and Engineering Program
Numerical Porous Media SRI Center (NumPor)
Physical Science and Engineering (PSE) Division
Online Publication Date2011-08-20
Print Publication Date2012-02
Permanent link to this recordhttp://hdl.handle.net/10754/561845
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AbstractThe majority of heart attacks occur when there is a sudden rupture of atherosclerotic plaque, exposing prothrombotic emboli to coronary blood flow, forming clots that can cause blockages of the arterial lumen. Diseased arteries can be treated with drugs delivered locally to vulnerable plaques. The objective of this work was to develop a computational tool-set to support the design and analysis of a catheter-based nanoparticulate drug delivery system to treat vulnerable plaques and diffuse atherosclerosis. A threedimensional mathematical model of coupled mass transport of drug and drug-encapsulated nanoparticles was developed and solved numerically utilizing isogeometric finite element analysis. Simulations were run on a patient-specific multilayered coronary artery wall segment with a vulnerable plaque and the effect of artery and plaque inhomogeneity was analyzed. The method captured trends observed in local drug delivery and demonstrated potential for optimizing drug design parameters, including delivery location, nanoparticle surface properties, and drug release rate. © Springer-Verlag 2011.
CitationHossain, S. S., Hossainy, S. F. A., Bazilevs, Y., Calo, V. M., & Hughes, T. J. R. (2011). Mathematical modeling of coupled drug and drug-encapsulated nanoparticle transport in patient-specific coronary artery walls. Computational Mechanics, 49(2), 213–242. doi:10.1007/s00466-011-0633-2
SponsorsThis work was partially supported by research Grant No. UTA05-663 from Abbott Vascular Inc. Support of the Texas Advanced Research Program of the Texas Higher Education Coordinating Board through Grant No. 003658-0025-2006 and Portuguese CoLab Grant No. 04A is also gratefully acknowledged.