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Interest of Pre-operative Use of 3D Printing for Endovascular Treatment of Unruptured Intracranial Aneurysms With Intrasaccular Flow Disruptor (ILIAD)

C

Centre Hospitalier Universitaire de Besancon

Status

Not yet enrolling

Conditions

Intracranial Aneurysm

Treatments

Procedure: 3D anatomical model of aneurysm

Study type

Interventional

Funder types

Other

Identifiers

NCT05665309
2022/676

Details and patient eligibility

About

This is a preliminary randomised controlled trial comparing the use of pre-operative 3D models to select an intrasaccular flow disruptor for endovascular aneurysm cure.

Full description

Patients will be randomised 3:1 either in the intervention or control group. Intervention consists of using the pre-operative Digital Subtraction Angiography (DSA) to create a 3D plastic model. This model is used to test different sizes of device. At the end of this pre-operative test a single device is recommended for the real procedure. The control group will use the current method for size selection (measurement of mean width and minimum height) on DSA.

Enrollment

60 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Intracranial aneurysm, suitable for a treatment by Woven Endobridge (WEB) device after multidisciplinary team decision
  • Consent form signed
  • The patient benefits from health insurance

Exclusion criteria

  • Legal incapacity
  • Women at risk of pregnancy

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

60 participants in 2 patient groups

With 3D anatomical model
Experimental group
Description:
Surgery prepared using 3D anatomical model of the aneurysm
Treatment:
Procedure: 3D anatomical model of aneurysm
Without 3D anatomical model
No Intervention group
Description:
Surgery prepared without 3D anatomical model of the aneurysm (routine care)

Trial contacts and locations

0

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Central trial contact

Guillaume CHARBONNIER, MD

Data sourced from clinicaltrials.gov

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