Using AI to analyze coronary images for heart disease prognosis
Artificial Intelligence With DEep Learning on COROnary Microvascular Disease
This study is trying to see if a new AI tool can help doctors analyze heart images to better predict which patients with heart attacks might have worse outcomes after treatment.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 600 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University Hospital, Grenoble Academic / other |
| Locations | 1 site (Grenoble) |
| Trial ID | NCT04598997 on ClinicalTrials.gov |
What this trial studies
This observational study aims to develop an artificial intelligence algorithm that can analyze coronary angiography images to identify patients with poor prognosis after successful revascularization for ST-Elevation Myocardial Infarction (STEMI). The study will involve selecting patients, annotating data to identify those with adverse outcomes, and developing a new method for image analysis using deep learning techniques. By leveraging existing medical data and advanced imaging analysis, the study seeks to improve early therapeutic strategies for patients with coronary microvascular disease.
Who should consider this trial
Good fit: Ideal candidates include adults over 18 who have undergone coronary angioplasty for STEMI at the study location between 2015 and 2018.
Not a fit: Patients with unusable coronary artery images or those under guardianship may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved identification of patients at risk for adverse outcomes after heart procedures, allowing for timely interventions.
How similar studies have performed: While the use of AI in medical imaging is gaining traction, this specific approach to coronary microvascular disease is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age over 18 years * Patients who have undergone coronary angioplasty revascularization at CHUGA for STEMI from 2015 to 2018 for which images are usable. * Patient affiliated with social security * Non-opposition to participation Exclusion Criteria: * Coronary artery image not usable * Patient under guardianship or deprived of liberty
Where this trial is running
Grenoble
- Chu Grenoble Alpes — Grenoble, France (Recruiting)
Study contacts
- Principal investigator: Gilles Barone-Rochette — University Hospital, Grenoble
- Study coordinator: Gilles Barone-Rochette
- Email: gbarone@chu-grenoble.fr
- Phone: +33476765172
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.