Using AI to analyze the superficial femoral artery for better treatment of artery disease
Histological Segmentation of the Superficial Femoral Artery From Microscan to CT Using Artificial Intelligence: a Feasibility Study (CTPred)
This study is testing if an AI tool can help doctors better understand the types of plaque in the superficial femoral artery from CT scans to improve treatment for people with peripheral artery disease.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 20 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University Hospital, Strasbourg, France Academic / other |
| Locations | 1 site (Strasbourg, Bas-Rhin) |
| Trial ID | NCT06260488 on ClinicalTrials.gov |
What this trial studies
This study aims to evaluate the technical feasibility of using an artificial intelligence algorithm to perform histological segmentation of the superficial femoral artery segment (FPAS) from preoperative CT scans. The research focuses on differentiating various types of atheromatous plaques that can affect treatment outcomes in patients with peripheral artery disease. By analyzing the anatomical and pathological characteristics of these plaques, the study seeks to provide initial data that could support a larger scale study to validate the diagnostic capabilities of this automated segmentation approach.
Who should consider this trial
Good fit: Ideal candidates for this study are adults scheduled for transfemoral amputation due to peripheral artery disease and who have a CT scan as part of their standard care.
Not a fit: Patients in emergency situations or those unable to provide informed consent will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved diagnostic accuracy and treatment strategies for patients with peripheral artery disease.
How similar studies have performed: While the approach of using AI for histological segmentation is innovative, similar studies have shown promise in improving diagnostic capabilities in vascular conditions.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion criteria: * Male or female of legal age * Subject with a planned transfemoral amputation in the vascular surgery department of the Hôpitaux Universitaires de Strasbourg as standard care * Subject with a CT as part of standard care * Subject who has given his/her non-opposition to participate in the study Exclusion criteria: \- Impossible to give the subject informed information (subject in emergency situation, difficulties in understanding)
Where this trial is running
Strasbourg, Bas-Rhin
- Hôpitaux Universitaire de Strasbourg — Strasbourg, Bas-Rhin, France (Recruiting)
Study contacts
- Study coordinator: Salomé KUNTZ, Doctor
- Email: salome.kuntz@chru-strasbourg.fr
- Phone: +31 3 69 55 01 98
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.