REGISTRY on the Implementation of Artificial Intelligence in the Automatic Analysis of Vascular Network Segmentation (IAVASC)

June 11, 2024 updated by: University Hospital, Bordeaux
The team hypothesizes that fully automatic analysis of AAA could provide increased performance (decreased duration of segmentation with increased reproducibility and decreased inter and intraobserver variability) to detect aortic aneurysmal sac enlargement (volumes and diameters) and predict the risk of complications during the procedure and during follow-up (MAE, MACE, MALE, Stroke) compared to standard methods of measurement relying on approximate maximum sac diameter.

Study Overview

Detailed Description

An abdominal aortic aneurysm (AAA) is an abnormal dilation of the abdominal aortic wall. The most catastrophic consequence of AAA increase evolution is aortic rupture, which still results in high morbidity and mortality. Accurate measurement of AAAs is necessary to predict the risk of rupture during evolution, to take adequate decisions to treat or not the patient as well as detect general and technical risk factors and to follow aneurysm sac behavior after endovascular aortic repair (EVAR).

Despite the widespread use of diameter measurements in clinical trials and its ease of ascertainment in clinical practice for monitoring of AAAs; clinical decision-making regarding the timing of aneurysm repair and even surveillance of sac expansion after EVAR, several studies have concluded that the diameter may not be reliable as a rupture risk criterion and that it should be replaced by more specifics criteria.

Volumetric assessment of the aneurysm is bound to be a better predictor of AAA expansion and risk of rupture. Recently, there has been considerable progress in segmentation software, allowing a semi-automatic calculation of accurate volumes from CTAs. However, despite ample evidence, volumetry has largely remained in the research domain and is still not carried out in most institutions. The major reason is that segmentation methods are time-consuming, they do not allow co-registration of interval studies and they require dedicated software and skilled technicians, which may be difficult to organize.

Innovative software PREAVAorta of Nurea company, using artificial intelligence with deep learning approaches, is able to reconstruct automatically the vascular structures from CT scans. As current solutions only reconstruct the lumen, Nurea's software also segments automatically aneurysms and associated thrombus. With this reconstruction, the software is able to provide diameters (and in particular maximum diameters) but also aneurysmal sac volume. It is the first solution providing automatic AAA volume and comparative evolution during follow-up. In addition, the software provides distances between anatomic points, calcification volume and measurement evolutions between different time points. The software also automatically detects and quantifies calcifications and stenosis on peripheral arteries, which is currently evaluated on the same or independent CT scans for predictive factor analysis, especially with regard to stroke risk for carotid stenosis and accesses, technical difficulties and predictors or MACE (Major Adverse Coronary Event) or MALE (Major Adverse Limb Event) for iliac and femoral arteries.

Study Type

Observational

Enrollment (Estimated)

250

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Bordeaux cedex, France, 33076
        • Recruiting
        • Service de Chirurgie Vasculaire, Hôpital Pellegrin-tripode, CHU de Bordeaux
        • Contact:
        • Principal Investigator:
          • Eric DUCASSE, MD, PhD
        • Sub-Investigator:
          • Caroline CARADU, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The patient came to the vascular surgery unit for his post-operative follow-up visit who have had surgery for Abdominal Aortic Aneurysm

Description

Inclusion Criteria:

  • Male or female ≥18 years of age
  • AAA treated with EVAR between

    • ≥50mm
    • or ≥5mm increase in 6 months
  • The subject is legally competent, has been informed of the nature, the scope, and the relevance of the study and has not manifested an opposition to participate.
  • Available for set-up and proper implementation of follow-up visits (standard of care) throughout the duration of the registry

Exclusion Criteria:

  • Advancing Alzheimer's disease or socially dependent patient
  • Opposition to the use of their data for this research
  • Life expectancy supposed to be inferior to 2 years
  • Pregnant woman

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Abdominal Aortic Aneurysm (AAA) treated with EndoVascular Aneurysm Repair (EVAR)
Male or female ≥18 years of age with AAA treated with EVAR between ≥50mm or ≥5mm increase in 6 months. The subject is legally competent, has been informed of the nature, the scope, and the relevance of the study and has not manifested an opposition to participate. He is available for set-up and proper implementation of follow-up visits (standard of care) throughout the duration of the registry
CTscans will be analyzed pre-operatively (6 months before intervention) and post-operatively with an early control scan (up to one-month post-EVAR), compared to a 3, 6 and 12-month control scan by system develop by Nurea
CTscans will be analyzed pre-operatively (6 months before intervention) and post-operatively with an early control scan (up to one-month post-EVAR), compared to a 3, 6 and 12-month control scan by an hospital practitioner

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
global volume measure of the aneurysm
Time Frame: Day 3
global volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Day 3
global volume measure of the aneurysm
Time Frame: Month 3
global volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 3
global volume measure of the aneurysm
Time Frame: Month 6
global volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 6
global volume measure of the aneurysm
Time Frame: Month 12
global volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 12
global volume measure of the aneurysm
Time Frame: 6 months before surgery
global volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
6 months before surgery

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
lumen volume measure of the aneurysm
Time Frame: 6 months before surgery
lumen volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
6 months before surgery
lumen volume measure of the aneurysm
Time Frame: Day 3
lumen volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Day 3
lumen volume measure of the aneurysm
Time Frame: Month 3
lumen volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 3
lumen volume measure of the aneurysm
Time Frame: Month 6
lumen volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 6
lumen volume measure of the aneurysm
Time Frame: Month 12
lumen volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 12
thrombus volume measure of the aneurysm
Time Frame: 6 months before surgery
thrombus volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
6 months before surgery
thrombus volume measure of the aneurysm
Time Frame: Day 3
thrombus volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Day 3
thrombus volume measure of the aneurysm
Time Frame: Month 3
thrombus volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 3
thrombus volume measure of the aneurysm
Time Frame: Month 6
thrombus volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 6
thrombus volume measure of the aneurysm
Time Frame: Month 12
thrombus volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 12
calcification volume measure of the aneurysm
Time Frame: 6 months before surgery
calcification volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
6 months before surgery
calcification volume measure of the aneurysm
Time Frame: Day 3
calcification volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Day 3
calcification volume measure of the aneurysm
Time Frame: Month 3
calcification volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 3
calcification volume measure of the aneurysm
Time Frame: Month 6
calcification volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 6
calcification volume measure of the aneurysm
Time Frame: Month 12
calcification volume measure of the aneurysm by CT-scan. Data are retrospectively collected from the preoperative period (6 months before intervention), during hospitalisation and at systematic follow-up visits at 3, 6 and 12 months after surgery.
Month 12

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Eric DUCASSE, MD, PhD, University Hospital, Bordeaux

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 30, 2024

Primary Completion (Estimated)

July 15, 2024

Study Completion (Estimated)

July 15, 2024

Study Registration Dates

First Submitted

May 31, 2024

First Submitted That Met QC Criteria

June 7, 2024

First Posted (Actual)

June 11, 2024

Study Record Updates

Last Update Posted (Actual)

June 13, 2024

Last Update Submitted That Met QC Criteria

June 11, 2024

Last Verified

May 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • CHUBX 2023/77

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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