The AI-CAC Model for Subclinical Atherosclerosis Detection on Chest X-ray

Launched by A.O.U. CITTÀ DELLA SALUTE E DELLA SCIENZA · Mar 3, 2024

Keywords

ClinConnect Summary

This clinical trial is studying a new artificial intelligence system called the AI-CAC model, which helps detect early signs of a condition known as atherosclerosis using a standard chest X-ray. Atherosclerosis is a problem where the arteries can become narrowed or blocked, leading to heart issues. The goal of the study is to see how well this AI system works in identifying people who may need further testing for coronary artery calcification (CAC), which is a buildup of calcium in the arteries that can indicate heart disease.

To participate in the trial, you need to be between 40 and 75 years old and have a recommendation from your doctor for a chest CT scan to check your CAC score. Unfortunately, if you have had any major heart issues in the past, certain types of cancer, or other serious chronic diseases, you won't be eligible. If you join the study, you'll undergo a chest CT scan, and the researchers will evaluate how accurately the AI system can find signs of atherosclerosis in your results. It's an important step toward improving heart disease prevention and detection.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Consent to participate in the study
• • Age between 40 and 75 years
• • Clinical indication from the treating physician to undergo chest CT for CAC score evaluation
• Exclusion Criteria:
• • Prior cardiovascular events (myocardial infarction, coronary revascularization, transient ischemic attack, stroke, symptomatic peripheral vascular disease, arterial revascularization of peripheral districts)
• • Cancer or other chronic diseases with an estimated prognosis of less than five years
• • Technical contraindications to the execution of chest CT with electrocardiographic gating (highly penetrant atrial fibrillation, frequent ventricular extrasystoles)