Using AI to analyze coronary CT scans for better patient risk assessment
Official title: Peri-luminal COROnary CTa AI-driven radiOMICS to Identify Vulnerable Patients
Run by IRCCS San Raffaele · NCT06029777 · Data updated 2026-05-14
This study is no longer in our active list. It may have stopped recruiting or finished. The details below are as of 2026-05-14 and are kept for reference. Check ClinicalTrials.gov for its current status, or see similar studies below.
This study is testing if using artificial intelligence to analyze heart scans can help doctors better identify patients at risk for worsening coronary artery disease and guide their treatment.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2190 (estimated) |
| Sponsor | IRCCS San Raffaele Academic / other |
| Locations | 1 site (Milano) |
| Trial ID | NCT06029777 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients who had a cCTA performed for CAD assessment between 2017 and 2019 and have been followed for at least four years.
✕Probably not a fit
Patients under 18 years old, those with a history of coronary revascularization, or those with other significant cardiovascular comorbidities may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to enhance the identification of patients at risk for coronary artery disease (CAD) progression by applying artificial intelligence algorithms to coronary computed tomography angiography (cCTA) images. The researchers will extract periluminal radiomic features to characterize the atherosclerotic process, which is currently underutilized in clinical practice. By developing a novel AI-based risk score, the study seeks to improve risk stratification for patients with non-obstructive CAD, ultimately guiding more aggressive medical treatment for those identified as high-risk. The study will include patients who underwent cCTA for CAD assessment between 2017 and 2019 and have a follow-up duration of at least four years.
Why it matters
Potential benefit: If successful, this approach could lead to more personalized and effective treatment strategies for patients with coronary artery disease.
How similar studies have gone: Other studies have shown promise in using AI and radiomics for risk assessment in cardiovascular diseases, indicating that this approach has potential for success.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Patients with CT performed for CAD assessment between 2017 and 2019. 2. Follow-up duration of at least 4 years. Exclusion Criteria: 1. Refusal to participate in the study 2. Age \<18 years old 3. History of previous coronary revascularization 4. Presence of other cardiovascular comorbidities (e.g. inflammatory cardiomyopathy, valvular cardiomyopathy, idiopathic dilated cardiomyopathy, infiltrative cardiomyopathy)
Where it's running
-
IRCCS San Raffaele
Milano, Italy Recruiting
Study contacts
- Study coordinator: Antonio Esposito
- Email: esposito.antonio@hsr.it
- Phone: 02 2643 6102
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.