Skip to content

AI-Based Diagnostic Model for Coronary Microvascular Disease Using Fundus Imaging

AI-Based Diagnostic Model for Coronary Microvascular Disease Using Fundus Imaging

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104211
Enrollment
Unknown
Registered
2025-06-12
Start date
2025-06-30
Completion date
Unknown
Last updated
2025-06-16

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

Conditions

Coronary microvascular disease

Interventions

Observation group:None

Sponsors

Peking University First Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients undergoing coronary angiography in the Department of Cardiology, Peking University First Hospital; 2. Complete baseline clinical information; 3. Have coronary angiography results, and coronary angiography shows coronary stenosis <50%; 4. Have both fundus image information, and the picture quality is good; 5. Age 18 and above, male or female; 6. Study participants voluntarily participate in this clinical study and sign the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Clearly existing severe fundus disease; 2. Severe cataract and other diseases, poor image quality; 3. The target coronary artery provides collateral circulation for chronic total occlusion lesions; 4. The target coronary angiography agent is poorly filled, the blood vessels overlap or are severely distorted, and the lesion location cannot be fully exposed; 5. Coronary angiography images are of poor quality and cannot be clearly identified.

Design outcomes

Primary

MeasureTime frame
Coronary angiography-derived index of microcirculatory resistance;Retinal image;

Countries

China

Contacts

Public ContactXingyu Luo

Peking University First Hospital

15527150311@163.com+86 188 1157 0473

Outcome results

None listed

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