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Association of Plaque Location and Vessel Geometry Determined by Coronary Computed Tomographic Angiography With Future Acute Coronary Syndrome-Causing Culprit Lesions

NIAID Data Ecosystem2026-03-14 收录

冠状动脉斑块分析

急性冠脉研究

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https://data.mendeley.com/datasets/wz47pc3xw7 数据链接链接失效反馈

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资源简介：

Scientific research for publishing the article

应用场景：

创建时间：

2023-02-24

冠状动脉斑块分析

血压变异性评估

Visit-to-visit variability (VVV) in blood pressure (BP) has been reported to be a strong predictor of cardiovascular disease. However, the association between VVV in BP and coronary plaque composition

NIAID Data Ecosystem40

Raw data - Differences in Progression to Obstructive Lesions per High-Risk Plaque Features and Plaque Volumes With CCTA

冠状动脉斑块分析

心血管影像诊断

Research data

NIAID Data Ecosystem30

Multivariate multinomial logistic regression analysis § of risk factors associated with coronary plaque features.

冠状动脉斑块分析

心血管风险评估

Multivariate multinomial logistic regression analysis§ of risk factors associated with coronary plaque features.

NIAID Data Ecosystem20

Cox proportional hazards model of PCI and other related factors on time to adverse outcomes after 3 months follow up in patients aged ≥80 with ACS.

心血管疾病预后与预防

急性冠脉研究

Cox proportional hazards model of PCI and other related factors on time to adverse outcomes after 3 months follow up in patients aged ≥80 with ACS.

NIAID Data Ecosystem30

OCT findings.

冠状动脉斑块分析

急性冠状动脉综合征管理

Background The relationship of layered plaque detected by optical coherence tomography (OCT) with coronary inflammation and coronary flow reserve (CFR) remains elusive. We aimed to investigate the ass

NIAID Data Ecosystem20

Association of Plaque Location and Vessel Geometry Determined by Coronary Computed Tomographic Angiography With Future Acute Coronary Syndrome-Causing Culprit Lesions

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