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CT 冠状动脉粥样硬化成像可改善临床转归。

Coronary atherosclerosis imaging by CT to improve clinical outcomes.

机构信息

University of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK; Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK.

University of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK; Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK.

出版信息

J Cardiovasc Comput Tomogr. 2019 Sep-Oct;13(5):281-287. doi: 10.1016/j.jcct.2019.03.007. Epub 2019 Mar 29.

Abstract

Coronary artery disease remains an important cause of morbidity and mortality world-wide. Coronary Computed Tomography Angiography (CCTA) has excellent diagnostic accuracy and the identification and stratification of coronary artery disease is associated with improved prognosis in multiple studies. Recent randomized controlled trials have shown that in patients with stable coronary artery disease, CCTA is associated with improved diagnosis, changes in investigations, changes in medical treatment and appropriate selection for revascularization. Importantly this diagnostic approach reduces the long-term risk of fatal and non-fatal myocardial infarction. The identification of adverse plaques on CCTA is known to be associated with an increased risk of acute coronary syndrome, but does not appear to be predictive of long-term outcomes independent of coronary artery calcium burden. Future research will involve the assessment of outcomes after CCTA in patients with acute chest pain and asymptomatic patients. In addition, more advanced quantification of plaque subtypes, vascular inflammation and coronary flow dynamics may identify further patients at increased risk.

摘要

冠状动脉疾病仍然是全球发病率和死亡率的重要原因。冠状动脉计算机断层血管摄影术(CCTA)具有出色的诊断准确性,多项研究表明,识别和分层冠状动脉疾病与改善预后相关。最近的随机对照试验表明,在稳定型冠状动脉疾病患者中,CCTA 可改善诊断、改变检查、改变治疗和适当选择血运重建。重要的是,这种诊断方法降低了致命和非致命性心肌梗死的长期风险。已知 CCTA 上的不良斑块与急性冠状动脉综合征的风险增加相关,但似乎不能独立于冠状动脉钙负担预测长期结局。未来的研究将涉及评估急性胸痛和无症状患者接受 CCTA 后的结局。此外,更先进的斑块亚型、血管炎症和冠状动脉血流动力学定量分析可能会进一步识别出处于高风险的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5f/6928571/6c4373016d99/gr1.jpg

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