Evaluating coronary artery disease risk using advanced imaging and AI

Coronary Computed Tomography Angiography and Functional Analysis in Risk Stratification of Coronary Artery Disease: A Retrospective Cohort Study

Observational Ruijin Hospital · NCT05884008

This study is testing whether advanced imaging and artificial intelligence can help doctors better understand the risk of coronary artery disease in patients who have had a heart attack.

Quick facts

Study typeObservational
Enrollment300 (estimated)
Ages18 Years to 80 Years
SexAll
SponsorRuijin Hospital Academic / other
Locations9 sites (Cangzhou, Hebei and 8 other locations)
Trial IDNCT05884008 on ClinicalTrials.gov

What this trial studies

This multicenter, retrospective imaging study aims to enroll patients who experienced acute myocardial infarction and had undergone coronary CTA within a specific timeframe prior to the event. The study will utilize anatomic, functional, and radiomic analyses, enhanced by artificial intelligence, to develop a risk stratification system for coronary artery disease. By addressing the limitations of traditional coronary angiography, this research seeks to improve the accuracy of risk assessments and treatment decisions for patients with coronary artery disease.

Who should consider this trial

Good fit: Ideal candidates are adults aged 18-80 who have had coronary CT angiography within 3 months to 5 years prior to an acute myocardial infarction.

Not a fit: Patients with familial hypercholesterolemia, prior history of PCI or CABG, previous myocardial infarction, or severe liver or renal insufficiency may not benefit from this study.

Why it matters

Potential benefit: If successful, this study could lead to more accurate risk stratification and improved treatment outcomes for patients with coronary artery disease.

How similar studies have performed: Other studies utilizing advanced imaging techniques and AI for coronary artery disease risk assessment have shown promising results, indicating potential for success in this approach.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age between 18-80 years old
* Received coronary CT angiography 3 months to 5 years prior to acute coronary myocardial infarction. CCTA identified coronary atherosclerotic plaques with diameter stenosis ≥ 10%

Exclusion Criteria:

* Familial hypercholesterolemia
* Prior history of percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG)
* Prior history of myocardial infarction before the recent event
* Severe liver or renal insufficiency

Where this trial is running

Cangzhou, Hebei and 8 other locations

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Coronary Artery DiseaseCoronary CTACT-FFRArtificial IntelligenceRisk Stratification
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.