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Predictive Value of Artificial Intelligence-Driven Comprehensive Assessment Strategy for Coronary CT Angiography in patients with stable coronary artery disease for Future Major Adverse Cardiovascular Events

Predictive Value of Artificial Intelligence-Driven Comprehensive Assessment Strategy for Coronary CT Angiography in patients with stable coronary artery disease for Future Major Adverse Cardiovascular Events

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500105819
Enrollment
Unknown
Registered
2025-07-11
Start date
2025-08-31
Completion date
Unknown
Last updated
2025-08-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Stable coronary artery disease

Interventions

Observation group:None

Sponsors

Zhongshan Hospital, Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age >= 18 years; 2.Completion of CCTA examination; 3.Outpatient assessment as a patient with stable coronary heart disease; 4.Signed informed consent form.

Exclusion criteria

Exclusion criteria: 1.Hemodynamic instability; 2.Pregnancy or contrast media allergy; 3.Severe renal insufficiency (eGFR = 100 beats per minute; 5.Contraindications to beta-blockers/nitrates; 6.Has a history of coronary artery bypass grafting.

Design outcomes

Primary

MeasureTime frame
Cardiac death;Non-fatal myocardial infarction;Non-fatal stroke;—

Countries

China

Contacts

Public ContactYan Yan

Zhongshan Hospital, Fudan University

yan.yan@zs-hospital.sh.cn+86 13501829900

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026