Improved Mechanical Support Parametrization to Predict the Renal Ostia Displacement Induced by Tools Insertion in <scp>EVAR</scp>

To improve the prediction of renal ostia displacement in biomechanical finite element simulations of the vascular structure deformation during endovascular aneurysm repair (EVAR). An existing finite element model to compute the deformation of the vascular structure due to tools insertion during EVAR, previously validated against clinical data in terms of guidewire position, is confronted in terms of renal ostia displacement to clinical intraoperative data from 16 patients undergoing EVAR and experiencing significant ostia displacement during the procedure (average vertical displacement of 10.38 mm from the preoperative to intraoperative configurations). This yields an update of the mechanical support parametrization. A score quantifies the predictive performance of the existing and updated parametrizations for both the renal displacement and the iliac arteries deformation. The updated model demonstrates a significant improvement in predictive accuracy for renal ostia deviation during EVAR. The axial mean displacement error is improved from 7.41 mm (previous parametrization) to 2.99 mm (updated parametrization). The score shows that this new parametrization improves the predictive performance of the simulation for the renal ostia displacement without compromising the iliac deformations prediction. The updated parametrization significantly enhances the predictive capability for arterial deformations during EVAR. A better prediction of the renal ostia displacement can significantly improve surgical planning and intraoperative guidance.

Authors

Institutions

Publication Details

Journal
International Journal for Numerical Methods in Biomedical Engineering
Published
2025-07-01
DOI
https://doi.org/10.1002/cnm.70059
Primary Topic
Aortic aneurysm repair treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved Mechanical Support Parametrization to Predict the Renal Ostia Displacement Induced by Tools Insertion in EVAR

Aline Bel‐Brunon, Simon Esneault, Florent Lalys, Adrien Kaladji et al.
International Journal for Numerical Methods in Biomedical Engineering
Aortic aneurysm repair treatments
article

Improved Mechanical Support Parametrization to Predict the Renal Ostia Displacement Induced by Tools Insertion in EVAR

Aline Bel‐Brunon, Simon Esneault, Florent Lalys, Adrien Kaladji, Hussein Mozahem, Mathilde Chastre
article en

Abstract

To improve the prediction of renal ostia displacement in biomechanical finite element simulations of the vascular structure deformation during endovascular aneurysm repair (EVAR). An existing finite element model to compute the deformation of the vascular structure due to tools insertion during EVAR, previously validated against clinical data in terms of guidewire position, is confronted in terms of renal ostia displacement to clinical intraoperative data from 16 patients undergoing EVAR and experiencing significant ostia displacement during the procedure (average vertical displacement of 10.38 mm from the preoperative to intraoperative configurations). This yields an update of the mechanical support parametrization. A score quantifies the predictive performance of the existing and updated parametrizations for both the renal displacement and the iliac arteries deformation. The updated model demonstrates a significant improvement in predictive accuracy for renal ostia deviation during EVAR. The axial mean displacement error is improved from 7.41 mm (previous parametrization) to 2.99 mm (updated parametrization). The score shows that this new parametrization improves the predictive performance of the simulation for the renal ostia displacement without compromising the iliac deformations prediction. The updated parametrization significantly enhances the predictive capability for arterial deformations during EVAR. A better prediction of the renal ostia displacement can significantly improve surgical planning and intraoperative guidance.

International Journal for Numerical Methods in Biomedical EngineeringVol. 41(7)
Centre Hospitalier Universitaire de Rennes (FR), Institut National des Sciences Appliquées de Lyon (FR), Université de Rennes (FR)
Openalex Percentile: Top 74%
Aortic aneurysm repair treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.