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Comparative Prognostic Performance of Deep Learning Derived Myocardial Blood Flow Versus CT Fractional Flow Reserve-Based CAD-RADS 2.0

Comparative Prognostic Performance of Deep Learning Derived Myocardial Blood Flow Versus CT Fractional Flow Reserve-Based CAD-RADS 2.0

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115562
Enrollment
Unknown
Registered
2025-12-29
Start date
2025-12-29
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Patients with chronic coronary syndrome

Interventions

Observation group:None

Sponsors

Shanghai General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1.Subjects with moderate-to-high pre-test probability of coronary heart disease; 2.Asymptomatic subjects with coronary atherosclerotic changes detected by CCTA;

Exclusion criteria

Exclusion criteria: 1.History of myocardial infarction or coronary artery revascularization; 2.Primary cardiomyopathy, rheumatic heart disease, congenital heart disease, and other cardiac conditions; 3.CT image quality is severely compromised.

Design outcomes

Primary

MeasureTime frame
Goodness of fit;Myocardial Blood Flow;CT-FFR;

Secondary

MeasureTime frame
Incremental prognostic value;

Countries

China

Contacts

Public ContactDai Xu

Shanghai General Hospital

023136dx@shgh.cn+86 188 1821 4982

Outcome results

None listed

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