Evidence map›Paper›PMID 35854187›Full record

ArticleAnnals of biomedical engineering2022

Validation and Verification of High-Fidelity Simulations of Thoracic Stent-Graft Implantation.

Anna Ramella, Francesco Migliavacca, Jose Felix Rodriguez Matas, Frederic Heim, Francesca Dedola, Stefania Marconi, Michele Conti, Sara Allievi, Tim J Mandigers, Daniele Bissacco and 3 more

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Anna RamellaComputational Biomechanics Laboratory - LaBS, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy. anna.ramella@polimi.it.ORCID http://orcid.org/0000-0001-5406-6230
Francesco MigliavaccaComputational Biomechanics Laboratory - LaBS, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.
Jose Felix Rodriguez MatasComputational Biomechanics Laboratory - LaBS, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.
Frederic HeimLaboratoire de Physique et Mécanique des Textiles, Université de Haute-Alsace, 11 rue Alfred Werner, 68093, Mulhouse, France.
Francesca DedolaClinical and Community Sciences Department, Università degli Studi di Milano, Via della Commenda 19, 20122, Milan, Italy.
Stefania MarconiDepartment of Civil Engineering and Architecture (DICAr), University of Pavia, Via Ferrata 3, 27100, Pavia, Italy.
Michele ContiDepartment of Civil Engineering and Architecture (DICAr), University of Pavia, Via Ferrata 3, 27100, Pavia, Italy.
Sara AllieviClinical and Community Sciences Department, Università degli Studi di Milano, Via della Commenda 19, 20122, Milan, Italy.
Tim J MandigersUnit of Vascular Surgery, I.R.C.C.S. Fondazione Cà Granda Policlinico Milano, Via Francesco Sforza 35, Milan, Italy.
Daniele BissaccoUnit of Vascular Surgery, I.R.C.C.S. Fondazione Cà Granda Policlinico Milano, Via Francesco Sforza 35, Milan, Italy.
Maurizio DomaninClinical and Community Sciences Department, Università degli Studi di Milano, Via della Commenda 19, 20122, Milan, Italy.
Santi TrimarchiClinical and Community Sciences Department, Università degli Studi di Milano, Via della Commenda 19, 20122, Milan, Italy.
Giulia LuraghiComputational Biomechanics Laboratory - LaBS, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic Endovascular Aortic Repair (TEVAR) is the preferred treatment option for thoracic aortic pathologies and consists of inserting a self-expandable stent-graft into the pathological region to restore the lumen. Computational models play a significant role in procedural planning and must be reliable. For this reason, in this work, high-fidelity Finite Element (FE) simulations are developed to model thoracic stent-grafts. Experimental crimp/release tests are performed to calibrate stent-grafts material parameters. Stent pre-stress is included in the stent-graft model. A new methodology for replicating device insertion and deployment with explicit FE simulations is proposed. To validate this simulation, the stent-graft is experimentally released into a 3D rigid aortic phantom with physiological anatomy and inspected in a computed tomography (CT) scan at different time points during deployment with an ad-hoc set-up. A verification analysis of the adopted modeling features compared to the literature is performed. With the proposed methodology the error with respect to the CT is on average 0.92 ± 0.64%, while it is higher when literature models are adopted (on average 4.77 ± 1.83%). The presented FE tool is versatile and customizable for different commercial devices and applicable to patient-specific analyses.

Indexed as

Blood Vessel Prosthesis ImplantationEndovascular ProceduresHigh Fidelity Simulation TrainingAorta, ThoracicBlood Vessel ProsthesisHumansProsthesis DesignStentsTreatment OutcomeEndograftFinite element methodNumerical modelTEVAR

Identifiers

PMID35854187
PMCPMC9794542

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.