Drug Release Analysis and Optimization for Drug-Eluting Stents
The drug release analysis and optimization for drug-eluting stents in the arterial wall are studied, which involves mechanics, fluid dynamics, and mass transfer processes and design optimization. The Finite Element Method (FEM) is used to analyze the process of drug release in the vessels for drug-e...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/827839 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849400592356605952 |
|---|---|
| author | Hongxia Li Yihao Zhang Bao Zhu Jinying Wu Xicheng Wang |
| author_facet | Hongxia Li Yihao Zhang Bao Zhu Jinying Wu Xicheng Wang |
| author_sort | Hongxia Li |
| collection | DOAJ |
| description | The drug release analysis and optimization for drug-eluting stents in the arterial wall are studied, which involves mechanics, fluid dynamics, and mass transfer processes and design optimization. The Finite Element Method (FEM) is used to analyze the process of drug release in the vessels for drug-eluting stents (DES). Kriging surrogate model is used to build an approximate function relationship between the drug distribution and the coating parameters, replacing the expensive FEM reanalysis of drug release for DES in the optimization process. The diffusion coefficients and the coating thickness are selected as design variables. An adaptive optimization approach based on kriging surrogate model is proposed to optimize the lifetime of the drug in artery wall. The adaptive process is implemented by an infilling sampling criterion named Expected Improvement (EI), which is used to balance local and global search and tends to find the global optimal design. The effect of coating diffusivity and thickness on the drug release process for a typical DES is analyzed by means of FEM. An implementation of the optimization method for the drug release is then discussed. The results demonstrate that the optimized design can efficiently improve the efficacy of drug deposition and penetration into the arterial walls. |
| format | Article |
| id | doaj-art-87087a112a3b4b7da5eea81e7d715047 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-87087a112a3b4b7da5eea81e7d7150472025-08-20T03:37:57ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/827839827839Drug Release Analysis and Optimization for Drug-Eluting StentsHongxia Li0Yihao Zhang1Bao Zhu2Jinying Wu3Xicheng Wang4State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, ChinaState Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, ChinaSurface Engineering Laboratory, School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, ChinaState Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, ChinaState Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, ChinaThe drug release analysis and optimization for drug-eluting stents in the arterial wall are studied, which involves mechanics, fluid dynamics, and mass transfer processes and design optimization. The Finite Element Method (FEM) is used to analyze the process of drug release in the vessels for drug-eluting stents (DES). Kriging surrogate model is used to build an approximate function relationship between the drug distribution and the coating parameters, replacing the expensive FEM reanalysis of drug release for DES in the optimization process. The diffusion coefficients and the coating thickness are selected as design variables. An adaptive optimization approach based on kriging surrogate model is proposed to optimize the lifetime of the drug in artery wall. The adaptive process is implemented by an infilling sampling criterion named Expected Improvement (EI), which is used to balance local and global search and tends to find the global optimal design. The effect of coating diffusivity and thickness on the drug release process for a typical DES is analyzed by means of FEM. An implementation of the optimization method for the drug release is then discussed. The results demonstrate that the optimized design can efficiently improve the efficacy of drug deposition and penetration into the arterial walls.http://dx.doi.org/10.1155/2013/827839 |
| spellingShingle | Hongxia Li Yihao Zhang Bao Zhu Jinying Wu Xicheng Wang Drug Release Analysis and Optimization for Drug-Eluting Stents The Scientific World Journal |
| title | Drug Release Analysis and Optimization for Drug-Eluting Stents |
| title_full | Drug Release Analysis and Optimization for Drug-Eluting Stents |
| title_fullStr | Drug Release Analysis and Optimization for Drug-Eluting Stents |
| title_full_unstemmed | Drug Release Analysis and Optimization for Drug-Eluting Stents |
| title_short | Drug Release Analysis and Optimization for Drug-Eluting Stents |
| title_sort | drug release analysis and optimization for drug eluting stents |
| url | http://dx.doi.org/10.1155/2013/827839 |
| work_keys_str_mv | AT hongxiali drugreleaseanalysisandoptimizationfordrugelutingstents AT yihaozhang drugreleaseanalysisandoptimizationfordrugelutingstents AT baozhu drugreleaseanalysisandoptimizationfordrugelutingstents AT jinyingwu drugreleaseanalysisandoptimizationfordrugelutingstents AT xichengwang drugreleaseanalysisandoptimizationfordrugelutingstents |