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用于检测冠状动脉疾病的应力心血管磁共振成像

Stress Cardiovascular Magnetic Resonance Imaging for the Detection of Coronary Artery Disease.

作者信息

Vinco Giulia, Dugo Clementina, Rigolli Marzia, Demattè Cristina, Giovanelli Cristiana, Caruso Fabio, Marinetti Alessandro, Chiampan Andrea, Cicciò Carmelo, Quattrocchi Carlo Cosimo, Molon Giulio, Del Greco Maurizio

机构信息

Division of Cardiology, Santa Maria del Carmine Hospital, APSS, 38068 Rovereto, Italy.

Division of Cardiology, IRCCS Sacro Cuore Don Calabria Hospital, 37024 Negrar, Italy.

出版信息

Rev Cardiovasc Med. 2023 Sep 18;24(9):254. doi: 10.31083/j.rcm2409254. eCollection 2023 Sep.

DOI:10.31083/j.rcm2409254
PMID:39076403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11270085/
Abstract

Stress cardiovascular magnetic resonance (CMR) imaging has received extensive validation for the assessment of ischemic heart disease. Without ionizing radiation exposure, it offers in-depth information regarding cardiac structure and function, presence and degree of myocardial ischemia and myocardial viability. When compared to other imaging modalities, it has demonstrated excellent sensitivity and specificity in detecting functionally relevant coronary artery stenosis, as well as strong prognostic value in clinical risk stratification. The current scientific data support a greater expansion of stress CMR. This review investigates the current stress CMR techniques and protocols, as well as its relevance in diagnosis and prognosis of coronary artery disease.

摘要

应激心血管磁共振（CMR）成像在评估缺血性心脏病方面已得到广泛验证。它无需电离辐射暴露，可提供有关心脏结构和功能、心肌缺血的存在及程度以及心肌存活能力的深入信息。与其他成像方式相比，它在检测功能相关的冠状动脉狭窄方面表现出出色的敏感性和特异性，并且在临床风险分层中具有很强的预后价值。目前的科学数据支持应激CMR的更大范围应用。本综述探讨了当前的应激CMR技术和方案，以及其在冠状动脉疾病诊断和预后中的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/1bf199f5a327/2153-8174-24-9-254-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/51f87d407a37/2153-8174-24-9-254-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/cfc7dbdd4873/2153-8174-24-9-254-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/b088737b5e92/2153-8174-24-9-254-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/0360ba36290b/2153-8174-24-9-254-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/d22c941f301a/2153-8174-24-9-254-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/1bf199f5a327/2153-8174-24-9-254-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/51f87d407a37/2153-8174-24-9-254-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/cfc7dbdd4873/2153-8174-24-9-254-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/b088737b5e92/2153-8174-24-9-254-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/0360ba36290b/2153-8174-24-9-254-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/d22c941f301a/2153-8174-24-9-254-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182e/11270085/1bf199f5a327/2153-8174-24-9-254-g6.jpg

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本文引用的文献

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Eur Heart J Cardiovasc Imaging. 2023 Jan 23;24(2):202-211. doi: 10.1093/ehjci/jeac202.
2
Machine-Learning Score Using Stress CMR for Death Prediction in Patients With Suspected or Known CAD.机器学习评分使用压力 CMR 预测疑似或已知 CAD 患者的死亡。
JACC Cardiovasc Imaging. 2022 Nov;15(11):1900-1913. doi: 10.1016/j.jcmg.2022.05.007. Epub 2022 Jul 13.
3
Quantitative Myocardial Perfusion With Simultaneous-Multislice Stress CMR for Detection of Significant Coronary Artery Disease.
采用同时多层应力心脏磁共振成像进行定量心肌灌注以检测严重冠状动脉疾病
JACC Cardiovasc Imaging. 2022 Sep;15(9):1672-1674. doi: 10.1016/j.jcmg.2022.04.010. Epub 2022 Jun 15.
4
Takotsubo cardiomyopathy.应激性心肌病。
Rev Cardiovasc Med. 2022 Jan 20;23(1):38. doi: 10.31083/j.rcm2301038.
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Evaluation of pulse wave velocity for predicting major adverse cardiovascular events in post-infarcted patients; comparison of oscillometric and MRI methods.评估脉搏波速度预测心梗后患者主要不良心血管事件；示波法和 MRI 方法的比较。
Rev Cardiovasc Med. 2021 Dec 22;22(4):1701-1710. doi: 10.31083/j.rcm2204178.
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