Multi-objective design optimization of stent-grafts for the aortic arch. (March 2023)

• Record Type: Journal Article
• Authors: Liu, Zongchao; Chen, Gongfa; Ong, Chiwei; Yao, Zhiyong; Li, Xiaoda; Deng, Jun; Cui, Fangsen
• Is Part Of: Materials & design. Volume 227(2023)
• Publication Date: 2023-03
• Subjects: Multi-objective optimization -- Aortic arch -- Finite element analyses -- Mechanical properties -- Stent-graft design; RSF Radial support force -- RM Reaction moment -- FEA Finite element analysis -- NSGA Non-dominated sorting genetic algorithm -- e-PTFE Expanded polytetrafluoroethylene -- N Strut number -- H Strut height -- R Strut radius -- D Wire diameter -- T Graft thickness -- LHS Latin Hypercube Sampling -- SSH Shorter strut height -- NURBS Non-uniform rational basis spline; Materials -- Periodicals; Engineering design -- Periodicals; Matériaux -- Périodiques; Conception technique -- Périodiques; Electronic journals; 620.11
• DOI: 10.1016/j.matdes.2023.111748
• Languages: English
• ISSNs: 0264-1275

Abstract

Graphical abstract: Highlights: A multi-objective optimization was implemented to design aortic arch stent-graft. The optimization strategy is effective and efficient. The optimized stent-graft design has excellent flexibility and radial force. The optimized design was demonstrated against an ideal arch. Abstract: Complications of thoracic endovascular aortic repair are closely related to the mechanical properties of implanted stent-grafts. Compared with straight vessels, the complex morphology of aortic arch imposes strict requirements on stent-graft properties. This study designed and verified an aortic stent-graft by optimizing a specially constructed commercial descending stent-graft. The main structural parameters including strut height, strut number, strut radius, wire diameter, and graft thickness were set as the design variables. The essential mechanical properties (flexibility and radial support force) of stent-grafts relevant to the mentioned variables were selected as objective functions. Surrogate model and multi-objective genetic algorithms were adopted to implement the optimization process. Finally, the optimized stent-graft was virtually implanted into an ideal aortic arch to verify its suitability. The optimization was completed after 16 iterations, demonstrating that the optimization method used in this study was efficient. The results showed that the flexibility of the near-optimal stent-graft improved over 50% and the radial support force was extremely close to that of the original design. Compared with the original design, the sealing effect of the optimized stent-graft was significantly improved. The results of this study provide guidelines and a feasible method for designing aortic arch stent-grafts.