Optimization of Coronary Stent Design Using Response Surface Modeling

Abstract

AbstractCardiovascular diseases (CVDs) are the leading cause of premature death and can partially be treated using coronary stents. During stent placement in the artery, vascular wall injuries occur due to the nonuniform expansion of the stent. The radial displacement at the distal end of the stent becomes greater than the radial displacement at the middle of the stent. This phenomenon is known as the dogboning effect. This paper presents a possible solution to counteract this effect by optimizing the design parameters of polymeric bioresorbable Palmaz-Schatz stent. SolidWorks 2019 (Dassault Systèmes) is used to design the coronary stent. The finite element method (Abaqus standard) is used to investigate the expansion behavior of the stents. The optimization method uses forty initial samples to approximate the functional relationship between design parameters and the objective function. Optimization methods based on response surface methodology (RSM) using a regression model are proposed to decrease the dogboning effect. The optimization technique using RSM resulted in a 78.67% reduction in the dogboning rate from the average dogboning rate of initial samples and an 87.7% reduction in comparison with the original stent. This research offers valuable insights into mitigating the dogboning effect, thereby advancing the development of more efficient stent designs for treating CVDs.