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Machine Learning Assessment of CAD: A Giant Leap or a Small Step for Coronary CTA?

作者信息

Nicol Edward D

机构信息

Department of Cardiovascular CT, Royal Brompton Hospital, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom.

出版信息

JACC Cardiovasc Imaging. 2023 Feb;16(2):206-208. doi: 10.1016/j.jcmg.2022.12.021.

DOI:10.1016/j.jcmg.2022.12.021
PMID:36754477
Abstract
摘要

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Machine Learning Assessment of CAD: A Giant Leap or a Small Step for Coronary CTA?计算机辅助检测的机器学习评估:冠状动脉CT血管造影的巨大飞跃还是一小步?
JACC Cardiovasc Imaging. 2023 Feb;16(2):206-208. doi: 10.1016/j.jcmg.2022.12.021.
2
Coronary CTA enhanced with CTA based FFR analysis provides higher diagnostic value than invasive coronary angiography in patients with intermediate coronary stenosis.CTA 增强联合 CTA 基础 FFR 分析对存在中度冠状动脉狭窄的患者比有创冠状动脉造影提供了更高的诊断价值。
J Cardiovasc Comput Tomogr. 2019 Jan-Feb;13(1):62-67. doi: 10.1016/j.jcct.2018.10.004. Epub 2018 Oct 2.
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Superior Risk Stratification With Coronary Computed Tomography Angiography Using a Comprehensive Atherosclerotic Risk Score.基于综合动脉粥样硬化风险评分的冠状动脉 CT 血管造影术进行的高风险分层。
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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.基于冠状动脉计算机断层扫描血管造影的机器学习方法对冠状动脉血流储备分数的诊断准确性:MACHINE 联盟的研究结果。
Circ Cardiovasc Imaging. 2018 Jun;11(6):e007217. doi: 10.1161/CIRCIMAGING.117.007217.
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The Coronary Artery Disease-Reporting and Data System (CAD-RADS): Prognostic and Clinical Implications Associated With Standardized Coronary Computed Tomography Angiography Reporting.冠状动脉疾病报告和数据系统(CAD-RADS):与标准化冠状动脉计算机断层血管造影报告相关的预后和临床意义。
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Improving patient identification for advanced cardiac imaging through machine learning-integration of clinical and coronary CT angiography data.通过机器学习整合临床和冠状动脉 CT 血管造影数据,提高高级心脏成像中的患者识别能力。
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Diagnostic Performance of Hybrid Cardiac Imaging Methods for Assessment of Obstructive Coronary Artery Disease Compared With Stand-Alone Coronary Computed Tomography Angiography: A Meta-Analysis.混合心脏成像方法评估阻塞性冠状动脉疾病与单独冠状动脉计算机断层血管造影的诊断性能比较的荟萃分析。
JACC Cardiovasc Imaging. 2018 Apr;11(4):589-599. doi: 10.1016/j.jcmg.2017.05.020. Epub 2017 Aug 16.
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CT ​Evaluation ​by ​Artificial ​Intelligence ​for ​Atherosclerosis, Stenosis and Vascular ​Morphology ​(CLARIFY): ​A ​Multi-center, international study.基于人工智能的 CT 评估在动脉粥样硬化、狭窄和血管形态学中的应用(CLARIFY):一项多中心、国际性研究。
J Cardiovasc Comput Tomogr. 2021 Nov-Dec;15(6):470-476. doi: 10.1016/j.jcct.2021.05.004. Epub 2021 Jun 12.

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Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries.冠状动脉易损动脉粥样硬化斑块成像的人工智能应用路线图。
Nat Rev Cardiol. 2024 Jan;21(1):51-64. doi: 10.1038/s41569-023-00900-3. Epub 2023 Jul 18.