Simulation of Stent-graft Deployment in Aortic Arch Aneurysms

NCT ID: NCT04244188

Last Updated: 2023-11-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

4 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-01-01

Study Completion Date

2019-01-31

Brief Summary

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Total endovascular repair of the aortic arch represents a promising option for patients ineligible to open surgery. Custom-made design of stent-grafts (SG), such as the Terumo Aortic® RelayBranch device (DB), requires complex preoperative measures. Accurate SG deployment is required to avoid intraoperative or postoperative complications, which is extremely challenging in the aortic arch. In that context, the investigators aim is to develop a computational tool able to predict SG deployment in such highly complex situations. Four patient-specific cases will be performed with complete deployment of the DB and its bridging stents in aneurysmal aortic arch. Deviations of simulation predictions from actual stent positions will be estimated based on post-operative scan and a sensitivity analysis will be performed to assess the effects of material parameters. If good agreement between simulation and reality is obtained, numerical simulations will show their ability to successfully predict the DB deployment in complex anatomy. The results will emphasize the potential of computational simulations to assist practitioners in planning and performing complex and secure interventions.

Detailed Description

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The process of numerical simulation of double-branched device in aortic arch aneurysm involves: (i) aortic arch segmentation with data from the preoperative CT-scan (ii) numerical modeling of the actual stentgraft used to treat the patient (iii) simulation of stentgraft deployment in aortic arch (iv) validation of simulation results based on post-operative CT scan images The goal of this study is to develop a numerical model of stentgraft deployment able to predict the actual deployement of the double branched device in aortic arch aneurysm.

Conditions

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Aortic Arch Aneurysm

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Patients treated for aortic arch aneurysms

Patients treated for aortic arch aneurysms by double branched endovascular repair (Bolton Medical) will be included.

Collection of datas

Intervention Type OTHER

Collection of datas: pre- and postoperative scanner and endoprosthesis characteristics

Interventions

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Collection of datas

Collection of datas: pre- and postoperative scanner and endoprosthesis characteristics

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Aortic arch aneurysms suitable for treatment using double-branched device Bolton

Exclusion Criteria

* Failure to generate an adequate FE model of patient arteries (no preoperative multidetector contrast-enhanced CT-scan available, preoperative CT-scan slice thickness greater than 1mm, preoperative CT- scan with artifacts)
* dissected aneurysm
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Centre Hospitalier Universitaire de Saint Etienne

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Jean-Noël ALBERTINI, PhD

Role: PRINCIPAL_INVESTIGATOR

CHU SAINT-ETIENNE

Locations

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CHU Saint-Etienne

Saint-Etienne, , France

Site Status

Rinjstate Hopital

Arnhem, , Netherlands

Site Status

Countries

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France Netherlands

References

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Derycke L, Perrin D, Cochennec F, Albertini JN, Avril S. Predictive Numerical Simulations of Double Branch Stent-Graft Deployment in an Aortic Arch Aneurysm. Ann Biomed Eng. 2019 Apr;47(4):1051-1062. doi: 10.1007/s10439-019-02215-2. Epub 2019 Jan 31.

Reference Type RESULT
PMID: 30706308 (View on PubMed)

Other Identifiers

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IRBN032019/CHUSTE

Identifier Type: -

Identifier Source: org_study_id

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