Literature DB >> 21821283

Multiobjective design optimisation of coronary stents.

Sanjay Pant1, Georges Limbert, Nick P Curzen, Neil W Bressloff.   

Abstract

We present here a multi-objective and multi-disciplinary coronary stent design optimization paradigm. Coronary stents are tubular, often mesh-like, structures which are deployed in diseased (stenosed) artery segments to provide a scaffolding feature that compresses atheromatus plaque, hence restoring luminal area and maintaining vessel patency. A three variable geometry parameterisation of a CYPHER (Cordis Corporation, Johnson & Johnson co.) type stent is proposed to explore the functionality of a sequence of circumferential rings connected by 'n' shaped links. The performance of each design is measured by six figures of merit (objectives/metrics) representing (i) acute recoil, (ii) tissue stresses, (iii) haemodynamic disturbance, (iv) drug delivery, (v) uniformity of drug distribution, and (vi) flexibility. These metrics are obtained from computational simulations of (i) structural deformation through balloon inflated expansion of a stent into contact with a stenosed vessel, (ii) pulsatile flow over the deformed stent embedded in the vessel wall, (iii) steady-state drug distribution into the tissue, and (iv) flexibility of a stent in response to an applied moment. Design improvement is obtained by a multi-objective surrogate modelling approach using a non-dominated sorting genetic algorithm (NSGA-II) to search for an optimal family of designs. A number of trade-offs between the different objectives are identified. In particular a conflict between pairs of the following objectives are shown -- (a) volume average stress vs. recoil, (b) volume average drug vs. volume average stress, (c) flexibility vs. volume average stress, (d) flexibility vs. haemodynamic disturbance, (e) volume average drug vs. haemodynamic disturbance, and (f) uniformity of drug vs. volume average stress. Different paradigms to choose the optimal designs from the obtained Pareto fronts are presented and under each such paradigm, the optimal designs and there relative positions with respect to a representative CYPHER stent are shown. The methodology and the results of this work could potentially be useful in further optimisation studies and development of a family of stents with increased resistance to in-stent restenosis and thrombosis.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21821283     DOI: 10.1016/j.biomaterials.2011.07.059

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  10 in total

1.  In vivo and in vitro evaluation of a biodegradable magnesium vascular stent designed by shape optimization strategy.

Authors:  Chenxin Chen; Jiahui Chen; Wei Wu; Yongjuan Shi; Liang Jin; Lorenza Petrini; Li Shen; Guangyin Yuan; Wenjiang Ding; Junbo Ge; Elazer R Edelman; Francesco Migliavacca
Journal:  Biomaterials       Date:  2019-08-05       Impact factor: 12.479

Review 2.  Research and development strategy for biodegradable magnesium-based vascular stents: a review.

Authors:  Jialin Niu; Hua Huang; Jia Pei; Zhaohui Jin; Shaokang Guan; Guangyin Yuan
Journal:  Biomater Transl       Date:  2021-09-28

3.  Image-based quantification of 3D morphology for bifurcations in the left coronary artery: Application to stent design.

Authors:  Laura Ellwein; David S Marks; Raymond Q Migrino; W Dennis Foley; Sara Sherman; John F LaDisa
Journal:  Catheter Cardiovasc Interv       Date:  2015-11-19       Impact factor: 2.692

4.  Optimization of Drug Delivery by Drug-Eluting Stents.

Authors:  Franz Bozsak; David Gonzalez-Rodriguez; Zachary Sternberger; Paul Belitz; Thomas Bewley; Jean-Marc Chomaz; Abdul I Barakat
Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

5.  Design optimization of stent and its dilatation balloon using kriging surrogate model.

Authors:  Hongxia Li; Tao Liu; Minjie Wang; Danyang Zhao; Aike Qiao; Xue Wang; Junfeng Gu; Zheng Li; Bao Zhu
Journal:  Biomed Eng Online       Date:  2017-01-11       Impact factor: 2.819

6.  Multi-objective optimization of coronary stent using Kriging surrogate model.

Authors:  Hongxia Li; Junfeng Gu; Minjie Wang; Danyang Zhao; Zheng Li; Aike Qiao; Bao Zhu
Journal:  Biomed Eng Online       Date:  2016-12-28       Impact factor: 2.819

7.  Multi-objective optimisation of material properties and strut geometry for poly(L-lactic acid) coronary stents using response surface methodology.

Authors:  Ross W Blair; Nicholas J Dunne; Alex B Lennon; Gary H Menary
Journal:  PLoS One       Date:  2019-08-26       Impact factor: 3.240

8.  Laser Additive Manufacturing of Anti-Tetrachiral Endovascular Stents with Negative Poisson's Ratio and Favorable Cytocompatibility.

Authors:  Ke Chen; Haoran Wan; Xiang Fang; Hongyu Chen
Journal:  Micromachines (Basel)       Date:  2022-07-18       Impact factor: 3.523

9.  The Flow-Induced Degradation and Vascular Cellular Response Study of Magnesium-Based Materials.

Authors:  Tengda Shang; Kebing Wang; Shusheng Tang; Yang Shen; Lei Zhou; Lu Zhang; Yuancong Zhao; Xin Li; Lin Cai; Jin Wang
Journal:  Front Bioeng Biotechnol       Date:  2022-07-07

10.  Enhancing physiologic simulations using supervised learning on coarse mesh solutions.

Authors:  Kumaran Kolandaivelu; Caroline C O'Brien; Tarek Shazly; Elazer R Edelman; Vijaya B Kolachalama
Journal:  J R Soc Interface       Date:  2015-03-06       Impact factor: 4.293

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.