Optimizing flow-diverting stent configurations for aneurysm treatment: a computational approach integrating deep
Arshia Eskandari1, Sara Malek1, Taha Samiazar1
1Faculty of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, 1999143344, Iran.
Physical and Engineering Sciences in Medicine
|October 27, 2025
Summary
This study optimized flow-diverting stents for aneurysms using CFD, DNN, and DEO. The novel approach identified a seven-strut stent configuration that significantly reduces hemodynamic risks, improving treatment outcomes.
Area of Science:
- Biomedical Engineering
- Computational Fluid Dynamics
- Medical Device Design
Background:
- Aneurysms pose life-threatening risks due to vascular wall weakening and potential rupture.
- Flow-diverting stents are a common and effective treatment for aneurysms.
- Optimizing stent design is crucial for enhancing treatment efficacy and patient outcomes.
Purpose of the Study:
- To develop a novel computational method for optimizing hemodynamic conditions within aneurysms using flow-diverting stents.
- To identify an optimal stent configuration that minimizes rupture risk by reducing adverse hemodynamic factors.
- To leverage advanced computational techniques for personalized stent design in aneurysm treatment.
Main Methods:
- Computational Fluid Dynamics (CFD) simulations were used to generate a dataset of 2,700 configurations.
- A Deep Neural Network (DNN) model was trained to predict hemodynamic parameters (velocity, vorticity, wall shear stress).
- Differential Evolution Optimization (DEO) was employed to determine the optimal stent configuration based on DNN predictions.
Main Results:
- The DNN model accurately predicted hemodynamic parameters for various stent configurations.
- An optimal seven-strut stent configuration was identified, with specific strut and gap sizes.
- This configuration demonstrated superior reduction in velocity, vorticity, and maximum wall shear stress compared to others.
- Increased strut density at the aneurysm neck enhanced flow diversion and minimized rupture-related hemodynamic risks.
Conclusions:
- The proposed methodology effectively optimizes flow-diverting stent design for aneurysm treatment.
- The optimized stent configuration significantly improves hemodynamic conditions, reducing risks associated with aneurysm rupture.
- This computational approach holds potential for advancing stent design and improving patient outcomes in aneurysm therapy.
