Association of Pericoronary Adipose Tissue Quality Determined by Dual-Layer Spectral Detector CT With Severity of Coronary Artery Disease: A Preliminary Study.
Association of Pericoronary Adipose Tissue Quality Determined by Dual-Layer Spectral Detector CT With Severity of Coronary Artery Disease: A Preliminary Study.
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双层能谱探测器 CT 测定的冠周脂肪组织质量与冠状动脉疾病严重程度的关系：初步研究
DOI：
10.3389/fcvm.2021.720127
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发表时间：
2021
影响因子：
3.6
通讯作者：
Hou Y
中科院分区：
文献类型：
--
作者：
Dang Y;Chen X;Ma S;Ma Y;Ma Q;Zhou K;Liu T;Wang K;Hou Y
背景资料：冠状动脉周围脂肪组织（PCAT）被认为是炎症介质的来源，导致冠状动脉粥样硬化的发展。本研究旨在研究双层光谱探测器CT（SDCT）的PCAT质量与冠状动脉疾病（CAD）严重程度之间的相关性，以及PCAT参数是否与CAD的存在独立相关。材料与方法：403例有胸痛症状的患者行SDCT检查。PCAT质量包括从常规多色CT图像（FAI 120 kvp）和40 keV的光谱虚拟单能量图像（FAI 40 keV）测量的脂肪衰减指数（FAI）、光谱HU曲线斜率（λHU）和代表每例患者血管狭窄最大程度的病变周围的有效原子序数（Eff-Z）。同时，在常规多色能量成像中获得总体心外膜脂肪组织（EAT）衰减。结果如下：FAI 40 keV、λHU、Eff-Z和FAI 120 kvp沿着CAD程度的增加而增加，在检测CAD方面上级EAT衰减。多因素Logistic回归分析显示，FAI 40 keV是冠心病最强的独立指标（OR 1.058，95% CI 1.044-1.073; p < 0.001）。使用最佳截止值（-131.8 HU）时，FAI 40 keV的诊断准确率比其他参数高80.6%。结论：这些初步研究结果表明，FAI 40 keV的SDCT可能是一个有吸引力的替代标记，允许监测PCAT的变化，在CAD的发展。
Background: Pericoronary adipose tissue (PCAT) is considered as a source of inflammatory mediators, leading to the development of coronary atherosclerosis. The study aimed to investigate the correlation between PCAT quality derived from dual-layer spectral detector CT (SDCT) and the severity of coronary artery disease (CAD), and whether PCAT parameters were independently associated with the presence of CAD. Materials and Methods: A total of 403 patients with symptoms of chest pain who underwent SDCT were included. PCAT quality including fat attenuation index (FAI) measured from conventional polychromatic CT images (FAI120kvp) and spectral virtual mono-energetic images at 40 keV (FAI40keV), slope of spectral HU curve (λHU), and effective atomic number (Eff-Z) were measured around the lesions representing the maximal degree of vascular stenosis in each patient. Meanwhile, overall epicardial adipose tissue (EAT) attenuation was acquired in the conventional polychromatic energy imaging. Results: FAI40keV, λHU, Eff-Z, and FAI120kvp increased along with the degree of CAD in general and were superior to the overall EAT attenuation for detecting the presence of CAD. Multivariate logistic regression analysis indicated that FAI40keV was the most powerful independent indicator (odds ratio 1.058, 95% CI 1.044–1.073; p < 0.001) of CAD among these parameters. Using an optimal cut-off (−131.8 HU), FAI40keV showed higher diagnostic accuracy of 80.6% compared with the other parameters. Conclusions: These preliminary findings suggest that FAI40keV on SDCT may be an appealing surrogate maker to allow monitoring of PCAT changes in the development of CAD.
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影响因子：
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作者：
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