Status:
UNKNOWN
Identifying Vulnerable CoronAry PLaqUes With Artificial IntElligence-assisted CT Angiography
Lead Sponsor:
Jinling Hospital, China
Conditions:
Coronary Artery Disease
Plaque, Atherosclerotic
Eligibility:
All Genders
18+ years
Brief Summary
The goal of this observational study is to develop an automatic whole-process AI model to detect, quantify, and characterize plaques using coronary CT angiography in coronary artery disease patients. ...
Detailed Description
Coronary artery disease (CAD) remains the leading cause of death worldwide. Atherosclerotic plaques play a pivotal role in CAD-related patient mortality. Thus, the detection, quantification, and chara...
Eligibility Criteria
Inclusion
- Intravascular imaging (including intravascular ultrasound or optical coherence tomography) was performed within 3 months after CCTA;
- No change in medications or clinical symptoms during CCTA and intravascular imaging examinations;
- Coronary artery diameter stenosis of 30% to 90% on invasive coronary imaging.
Exclusion
- Image quality of CCTA or intravascular US was inadequate to analyze;
- Intravascular imaging was performed after percutaneous coronary intervention (PCI) or pre-dilation of the target lesions;
- Lesions could not be co-registered between CCTA and intravascular US;
- Missing CCTA or intravascular US data
Key Trial Info
Start Date :
July 1 2023
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2025
Estimated Enrollment :
2000 Patients enrolled
Trial Details
Trial ID
NCT06025305
Start Date
July 1 2023
End Date
December 31 2025
Last Update
October 18 2023
Active Locations (1)
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1
Research Institute Of Medical Imaging Jinling Hospital
Nanjing, Jiangsu, China, 210018