Al Rifai Mahmoud, Ahmed Ahmed Ibrahim, Alahdab Fares, Al-Mallah Mouaz H
Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
Prog Cardiovasc Dis. 2022 Nov-Dec;75:12-20. doi: 10.1016/j.pcad.2022.10.013. Epub 2022 Nov 4.
Coronary computed tomography (CT) angiography (CCTA) is increasingly recognized for diagnosing obstructive coronary artery disease (CAD) among patients presenting with chest pain. In this review, we summarize the utility of CCTA to determine luminal stenosis and identifying coronary plaques with high-risk features. We review different scoring systems that can quantify total plaque burden including how artificial intelligence can facilitate more detailed plaque assessment. We discuss how CCTA can also be used to detect the hemodynamic significance of CAD lesions (fractional flow reserve CT and CT perfusion) and also local factors outside the vessel wall that may predispose to plaque rupture (fat attenuation index and wall shear stress). We conclude with technological advances in imaging acquisition using photon counting CT and post-image processing techniques especially those that can mitigate blooming artifacts.
冠状动脉计算机断层扫描(CT)血管造影(CCTA)在诊断胸痛患者的阻塞性冠状动脉疾病(CAD)方面越来越受到认可。在本综述中,我们总结了CCTA在确定管腔狭窄和识别具有高危特征的冠状动脉斑块方面的效用。我们回顾了不同的评分系统,这些系统可以量化总斑块负荷,包括人工智能如何有助于更详细的斑块评估。我们讨论了CCTA如何还可用于检测CAD病变的血流动力学意义(血流储备分数CT和CT灌注)以及血管壁外可能易导致斑块破裂的局部因素(脂肪衰减指数和壁面切应力)。我们最后介绍了使用光子计数CT的成像采集技术进展以及图像后处理技术,特别是那些可以减轻伪影的技术。