Deep Learning-Based Prediction of Cardiovascular Outcomes using Optical Coherence Tomography in Patients with Acute Coronary Syndrome
Not Applicable
- Conditions
- acute coronary syndrome
- Registration Number
- JPRN-UMIN000049237
- Lead Sponsor
- Kobe University, department of cardiology
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 360
Inclusion Criteria
Not provided
Exclusion Criteria
(1) Patients who have asked not to participate in this study based on publicly available information. (2) Patients who had ACS due to in-stent restenosis or occlusion (3) Patients with graft vessels (4) Patients with lesions in the left main trunk or the ostium of the right coronary artery (5) Patients who did not undergo stenting at PCI (6) Patients with Thrombolysis in myocardial infarction trial (TIMI) flow grade 2 or less at the final coronary angiogram
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method