Towards a reduced order model for EVAR planning and intra-operative navigation
Monica Emendi1, Eirini Kardampiki2, Karen-Helene Støverud3
1Department of Enterprise Engineering, University of Rome Tor Vergata, Via del Politecnico 1, Rome, 00133, Italy.
Medical Engineering & Physics
|September 16, 2024
Summary
A new reduced order model (ROM) accurately predicts aortic deformations during endovascular aneurysm repair (EVAR). This tool aids surgical planning and navigation, potentially reducing radiation and contrast exposure for patients.
Area of Science:
- Biomedical Engineering
- Computational Mechanics
- Medical Imaging
Background:
- Endovascular aneurysm repair (EVAR) planning and navigation face challenges from aortic deformations caused by guidewire insertion.
- A fast, accurate predictive tool is needed to aid clinical decision-making and surgical guidance, potentially lowering radiation and contrast doses.
Purpose of the Study:
- To develop a reduced order model (ROM) for predicting aortic wall-guidewire interaction during EVAR.
- To create a tool for pre-operative planning and intra-operative navigation in EVAR procedures.
Main Methods:
- A reduced order model (ROM) was generated using parametric finite element simulations of aortic wall-guidewire interaction.
- A Design of Experiments (DOE) with 300 scenarios and radial basis functions for geometric parametrization was employed. The ROM was trained on 200 scenarios and validated on 100.
Main Results:
- The developed ROM estimated aortic node displacement with a relative error below 5.5% in validation cases.
- Aortic elasticity, guidewire stiffness, and iliac artery tortuosity were identified as the most influential parameters.
Conclusions:
- The ROM provides near real-time, accurate estimations of guidewire-induced aortic displacement.
- This predictive tool shows promise for enhancing pre-operative planning and intra-operative navigation in EVAR, benefiting clinicians.
