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Updated: Jul 22, 2025

Quantification of Atherosclerotic Plaque Activity and Vascular Inflammation using [18-F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography FDG-PET/CT
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Quantification of Atherosclerotic Plaque Activity and Vascular Inflammation using [18-F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography FDG-PET/CT

Published on: May 2, 2012

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由人工智能指导的定量斑块分期预测了动脉硬化心血管疾病风险患者的长期心血管结果

Nick S Nurmohamed1, Michiel J Bom2, Ruurt A Jukema2

  • 1Department of Cardiology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Vascular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands; Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA. Electronic address: https://twitter.com/NickNurmohamed.

JACC. Cardiovascular imaging
|July 22, 2023
PubMed
概括

人工智能引导的定量冠状动脉计算机断层扫描血管图分析 (AI-QCT) 能够有效预测10年内发生的主要不良心脏事件 (MACE). AI-QCT斑块分期提供了超越传统风险因素和评估的显著预后价值.

关键词:
在AI-QCT中.这是一个ASCVD.在这里,我们可以看到CAD,CAD,CAD.在CCTA中,它是最重要的.马子 马子 马子动脉样硬化 动脉样硬化

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