Using AI to analyze coronary CT scans for better patient risk assessment
Peri-luminal COROnary CTa AI-driven radiOMICS to Identify Vulnerable Patients
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 |
|---|---|
| Enrollment | 2190 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | IRCCS San Raffaele Academic / other |
| Locations | 1 site (Milano) |
| Trial ID | NCT06029777 on ClinicalTrials.gov |
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.
Who should consider this trial
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.
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.
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 performed: Other studies have shown promise in using AI and radiomics for risk assessment in cardiovascular diseases, indicating that this approach has potential for success.
Eligibility criteria
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 this trial is running
Milano
- IRCCS San Raffaele — Milano, Italy (Recruiting)
Study contacts
- Study coordinator: Antonio Esposito
- Email: esposito.antonio@hsr.it
- Phone: 02 2643 6102
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.