Comparison of artificial intelligence automated quantification and human visual assessment of calcification and vessel sizing in in-vivo optical coherence tomography images
Not Applicable
Recruiting
- Conditions
- Coronary artery disease
- Registration Number
- JPRN-UMIN000053600
- Lead Sponsor
- Osaka Rosai Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 30
Inclusion Criteria
Not provided
Exclusion Criteria
1)Ostial left main artery or ostial right coronary artery lesions. 2)Poor pre-OCT images. 3)Lesions which OCT does not cross. 4)Female patients of childbearing potential. 5)Life expectancy less than 12 months.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Differences in artificial intelligence and human visual assessment of calcified plaque and vessel size in pre-OCT images
- Secondary Outcome Measures
Name Time Method Comparison of strategies based on artificial intelligence and human visual assessment