AI-assisted CT for Risk Stratification in Coronary Artery Disease (ACTION)

Condition(s) studied

Study summary

The goal of this observational study is to learn if AI-assisted cardiac CT imaging can improve cardiovascular risk stratification and prediction of future coronary events in an adult population undergoing clinically indicated cardiac CT.

The main questions it aims to answer are:

* Can AI-enhanced cardiac CT accurately assess cardiovascular risk in a real-world adult population?
* How do CT-derived plaque characteristics correlate with clinical, biochemical, and lifestyle risk factors? Researchers will compare subgroups (e.g., patients with different risk profiles, biomarkers, or imaging findings, and a subset undergoing OCT imaging) to see if differences in imaging and clinical parameters are associated with cardiovascular risk and plaque vulnerability.

Participants will:

* Provide informed consent and medical history/demographic information
* Undergo blood sampling for cardiovascular and metabolic biomarkers
* Have a resting ECG performed
* Complete a detailed lifestyle and health questionnaire
* Receive a non-invasive cardiac CT scan interpreted by an expert
* Potentially receive heart rate-lowering medication (e.g., metoprolol) if required for imaging quality
* Be referred for further clinical evaluation if clinically indicated 

Eligibility

Primary outcome measure(s)

• Cardiovascular risk stratification using AI-assisted cardiac CT — Baseline
  Assessment of cardiovascular risk based on AI-enhanced cardiac CT imaging, including coronary artery calcium scoring, plaque characterization, and integrated risk prediction using clinical and imaging data.

Trial sites (1)

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