Computational Engineering Design Group, University of Southampton, School of Engineering Sciences, Southampton SO17 1BJ, United Kingdom.
Biomaterials. 2011 Nov;32(31):7755-73. doi: 10.1016/j.biomaterials.2011.07.059. Epub 2011 Aug 6.
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.
我们在这里提出了一种多目标和多学科的冠状动脉支架设计优化范例。冠状动脉支架是管状的,通常呈网状结构,放置在患病(狭窄)的动脉段中,提供支架功能,压缩动脉粥样斑块,从而恢复管腔面积并保持血管通畅。我们提出了一种 CYPHER(Cordis Corporation,Johnson & Johnson co.)型支架的三变量几何参数化,以探索由“n”形连接的一系列圆周环的功能。通过计算模拟来测量每个设计的性能,模拟内容包括:(i)急性回弹,(ii)组织应力,(iii)血液动力学干扰,(iv)药物输送,(v)药物分布均匀性,以及(vi)柔韧性。这些指标是通过(i)支架在与狭窄血管接触的气球膨胀扩张过程中的结构变形,(ii)嵌入血管壁的变形支架上的脉动流,(iii)药物在组织中的稳态分布,以及(iv)支架对施加的力矩的响应的灵活性来获得的。通过使用非支配排序遗传算法(NSGA-II)的多目标代理建模方法来寻找最优的设计系列,从而获得设计改进。确定了不同目标之间的一些权衡。特别是,显示了以下目标对之间的冲突:(a)平均体积应力与回弹之间的关系,(b)平均体积药物与平均体积应力之间的关系,(c)柔韧性与平均体积应力之间的关系,(d)柔韧性与血液动力学干扰之间的关系,(e)平均体积药物与血液动力学干扰之间的关系,以及(f)药物均匀性与平均体积应力之间的关系。提出了从获得的 Pareto 前沿中选择最佳设计的不同范例,并展示了在每种范例下,最佳设计及其相对于代表性 CYPHER 支架的相对位置。这项工作的方法和结果可能对进一步的优化研究和具有更高抗再狭窄和血栓形成能力的支架系列的开发有用。