Alhammouri Hashim, Ibrahim Ramzi, Alasmar Rahmeh, Abdelnabi Mahmoud, Habib Eiad, Allam Mohamed, Pham Hoang Nhat, Elbenawi Hossam, Farina Juan, Tamarappoo Balaji, Jokerst Clinton, Lee Kwan, Ayoub Chadi, Arsanjani Reza
Faculty of Medicine, University of Jordan, Amman 11118, Jordan.
Department of Cardiovascular Medicine, Mayo Clinic, 13400 East Shea Boulevard Scottsdale, Phoenix, AZ 85259, USA.
Tomography. 2025 Jul 30;11(8):85. doi: 10.3390/tomography11080085.
Advances in plaque imaging have transformed cardiovascular diagnostics through detailed characterization of atherosclerotic plaques beyond traditional stenosis assessment. This review outlines the clinical applications of varying modalities, including dual-layer spectral CT, photon-counting CT, dual-energy CT, and CT-derived fractional flow reserve (CT-FFR). These technologies offer improved spatial resolution, tissue differentiation, and functional assessment of coronary lesions. Additionally, artificial intelligence has emerged as a powerful tool to automate plaque detection, quantify burden, and refine risk prediction. Collectively, these innovations provide a more comprehensive approach to coronary artery disease evaluation and support personalized management strategies.
斑块成像技术的进展通过对动脉粥样硬化斑块进行超越传统狭窄评估的详细表征，改变了心血管诊断。本综述概述了不同模态的临床应用，包括双层光谱CT、光子计数CT、双能CT和CT衍生的血流储备分数（CT-FFR）。这些技术提供了更高的空间分辨率、组织区分能力以及对冠状动脉病变的功能评估。此外，人工智能已成为一种强大的工具，可实现斑块检测自动化、量化负担并优化风险预测。总体而言，这些创新为冠状动脉疾病评估提供了更全面的方法，并支持个性化管理策略。
