Advances in the Assessment of Coronary Artery Disease Activity with PET/CT and CTA.
Advances in the Assessment of Coronary Artery Disease Activity with PET/CT and CTA.
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DOI：
10.3390/tomography9010026
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发表时间：
2023-02-01
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影响因子：
--
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非侵入性检测在冠状动脉疾病的诊断、进展评估、治疗反应和风险分层中起着关键作用。尽管通过计算机断层扫描血管造影术（CTA）进行的解剖斑块成像和心肌灌注成像研究的缺血检测是当前的护理标准，但越来越多的证据表明，对驱动动脉粥样硬化斑块进展和破裂的过程进行成像有可能进一步增强风险分层。特别是，冠状动脉斑块炎症和活动性钙化的非侵入性成像在这方面显示出希望。正电子发射断层扫描（PET）与新采用的放射性示踪剂提供了独特的见解动脉粥样硬化活动作为一个强大的独立预测心肌梗死。同样，通过提供冠状动脉炎症的定量测量，从标准冠状动脉CTA得出的冠状动脉周围脂肪组织密度（PCAT）增强了心脏风险预测，并允许在当前最新技术水平评估之上进行重新分层。在这篇综述中，我们将讨论PET和CTA的疾病活动性的非侵入性评估方法的最新进展，强调这些方法如何改善危险分层，并最终受益于冠状动脉疾病患者。
Non-invasive testing plays a pivotal role in the diagnosis, assessment of progression, response to therapy, and risk stratification of coronary artery disease. Although anatomical plaque imaging by computed tomography angiography (CTA) and ischemia detection with myocardial perfusion imaging studies are current standards of care, there is a growing body of evidence that imaging of the processes which drive atherosclerotic plaque progression and rupture has the potential to further enhance risk stratification. In particular, non-invasive imaging of coronary plaque inflammation and active calcification has shown promise in this regard. Positron emission tomography (PET) with newly-adopted radiotracers provides unique insights into atheroma activity acting as a powerful independent predictor of myocardial infarctions. Similarly, by providing a quantitative measure of coronary inflammation, the pericoronary adipose tissue density (PCAT) derived from standard coronary CTA enhances cardiac risk prediction and allows re-stratification over and above current state-of-the-art assessments. In this review, we shall discuss the recent advances in the non-invasive methods of assessment of disease activity by PET and CTA, highlighting how these methods could improve risk stratification and ultimately benefit patients with coronary artery disease.
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影响因子：
24
作者：
Chang HJ;Lin FY;Lee SE;Andreini D;Bax J;Cademartiri F;Chinnaiyan K;Chow BJW;Conte E;Cury RC;Feuchtner G;Hadamitzky M;Kim YJ;Leipsic J;Maffei E;Marques H;Plank F;Pontone G;Raff GL;van Rosendael AR;Villines TC;Weirich HG;Al'Aref SJ;Baskaran L;Cho I;Danad I;Han D;Heo R;Lee JH;Rivzi A;Stuijfzand WJ;Gransar H;Lu Y;Sung JM;Park HB;Berman DS;Budoff MJ;Samady H;Shaw LJ;Stone PH;Virmani R;Narula J;Min JK
通讯作者：
Min JK
DOI：
10.1007/s00259-007-0685-x
发表时间：
2008-04-01
影响因子：
9.1
作者：
Bucerius, Jan;Schmaljohann, Joern;Manka, Christoph
通讯作者：
Manka, Christoph
影响因子：
39.3
作者：
Gaemperli, Oliver;Shalhoub, Joseph;Camici, Paolo G.
通讯作者：
Camici, Paolo G.
影响因子：
168.9
作者：
Erlinge, David;Maehara, Akiko;Stone, Gregg W.
通讯作者：
Stone, Gregg W.
DOI：
10.1007/s00259-017-3680-x
发表时间：
2017-08-01
影响因子：
9.1
作者：
Ishiwata, Yoshinobu;Kaneta, Tomohiro;Inoue, Tomio
通讯作者：
Inoue, Tomio