Retrospective and prospective Coronary Imaging Registry for artificial intelligence algorithm training
Not Applicable
Recruiting
- Conditions
- Diseases of the circulatory system
- Registration Number
- KCT0006162
- Lead Sponsor
- Yonsei University Health System, Yongin Severance Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 100
Inclusion Criteria
After CT angiography, cardiography was actually performed and FFR was performed in patients with 50 to 90% stenosis of the coronary artery.
Exclusion Criteria
- Female of childbearing potential, who possibly plans to become pregnant any time after enrollment into this study.
- Pregnancy
- Patients who are not appropriate for this study
Study & Design
- Study Type
- Observational Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Machine learning algorithm FFR value for coronal CT lesion
- Secondary Outcome Measures
Name Time Method