Status:
NOT_YET_RECRUITING
Evaluation and Treatment Strategy Development of Coronary Heart Disease Guided by OCT Based on Multimodal Deep Learning
Lead Sponsor:
Xiang Ma
Collaborating Sponsors:
Shihezi University
Conditions:
Coronary Disease
Coronary Artery Disease
Eligibility:
All Genders
20-80 years
Brief Summary
This is a retrospective, multicenter, observational study aimed at assessing stent apposition for coronary stent implantation by an optical coherence tomography system constructed by deep learning alg...
Detailed Description
In this study, we planned to retrospectively collect 2,000 subjects who underwent optical coherence tomography-guided percutaneous coronary stent implantation with an optical coherence tomography syst...
Eligibility Criteria
Inclusion
- Age ≥20 years old;
- Angiography was performed, and OCT imaging of criminal blood vessels was performed before intervention;
- Type of coronary heart disease: Unstable angina pectoris (UA), ST elevation myocardial infarction (STEMI) And non-ST elevation myocardial infarction (NSTEMI);
Exclusion
- Lack of medical records;
- Failure to complete follow-up;
- Previous coronary artery bypass grafting;
- Severe liver or kidney insufficiency;
- Infectious diseases, malignancies and bleeding diseases;
- OCT image quality was caused by large thrombus volume or residual blood in lumen and percutaneous coronary angiography Poor and further excluded.
Key Trial Info
Start Date :
August 20 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2026
Estimated Enrollment :
2000 Patients enrolled
Trial Details
Trial ID
NCT06544681
Start Date
August 20 2024
End Date
December 31 2026
Last Update
August 9 2024
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