Evidence map›Paper›PMID 40696220›Full record

ArticleAnnals of biomedical engineering2025

Computational Simulation of Respiration-Induced Deformation of Renal Arteries After EVAR.

Alessandra Corvo, Stéphane Avril, Alberto Aliseda, Stéphan Haulon, Fanette Chassagne

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Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Alessandra CorvoMines Saint-Etienne, INSERM, U1059 SAINBIOSE, F42023, Saint-Etienne, France.
Stéphane AvrilMines Saint-Etienne, INSERM, U1059 SAINBIOSE, F42023, Saint-Etienne, France. avril@emse.fr.ORCID http://orcid.org/0000-0002-8604-7736
Alberto AlisedaDepartment of Mechanical Engineering, University of Washington, Seattle, WA, 98105, USA.
Stéphan HaulonAortic Center, Marie Lannelongue Hospital, Groupe Hospitalier Paris Saint Joseph, Paris Saclay University, 92350, Le Plessis-Robinson, France.
Fanette ChassagneMines Saint-Etienne, INSERM, U1059 SAINBIOSE, F42023, Saint-Etienne, France.

Funding

Agence Nationale de la Recherche ANR-21-RHUS-0011
6 · The paper itself

Abstract

purposeFenestrated endovascular aneurysm repair (fEVAR) is widely used to treat complex abdominal aortic aneurysms, requiring renal artery stenting. However, complications such as occlusion can occur within the renal arteries. This study examines the effect of respiration-induced deformations, using patient-specific models and computational simulations. By investigating the impact of stenting and breathing, this research aims to improve surgical pre-planning and minimize EVAR complications.

methodsPre-EVAR geometries from CT scans were segmented and meshed. Respiratory-induced displacements were applied to the segmented ends of the renal arteries to simulate breathing. The deployment process was achieved via balloon expansion, testing bridging stent-grafts with different lengths. To evaluate the accuracy of the workflow, simulated results and post-op CT scans were compared using centerline analysis, measuring morphological differences between the patient-specific models and the actual patients.

resultsNumerical simulations accurately predicted renal artery movement during respiration, aligning with in vivo measurements. Simulated stent-graft configurations closely matched post-EVAR CT scans. Stent-graft protrusions into the aortic lumen were within the expected range, indicating correct positioning. Longer stent-grafts constrained renal artery movement, affecting branching angle changes, while shorter grafts had a less pronounced impact.

conclusionsOur novel digital twin model accurately simulates fEVAR procedures, including the deployment of renal bridging stent-grafts. Numerical simulations capture the bending of the renal arteries during breathing and their morphological changes following stenting in the post-operative configurations. Future research aims to expand the patient cohort and combine the solid mechanics simulations with CFD analysis.

Indexed as

Aortic Aneurysm, AbdominalEndovascular ProceduresModels, CardiovascularRenal ArteryRespirationAgedBlood Vessel ProsthesisComputer SimulationFemaleHumansMaleStentsAbdominal aortic aneurysmBreathingEVARNumerical simulationsStent-graft

Identifiers

PMID40696220
PMCPMC12575501

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.