JPRN-UMIN000049237尚未招募Unknown
Deep Learning-Based Prediction of Cardiovascular Outcomes using Optical Coherence Tomography in Patients with Acute Coronary Syndrome - Deep Learning-Based Prediction of Cardiovascular Outcomes using Optical Coherence Tomography in Patients with Acute Coronary Syndrome
Kobe University, department of cardiology0 个研究点目标入组 360 人开始时间: 2023年1月1日最近更新:
适应症
试验速览
- 阶段
- Unknown
- 状态
- 尚未招募
- 发起方
- 入组人数
- 360
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 20years-old 至 100years-old（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •(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
研究者
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