Chen Lihong, Cao Le, Liu Bing, Li Jianying, Qu Tingting, Li Yanshou, Li Yanan, Pan Ning, Cheng Yannan, Fan Ganglian, Jian Zhijie, Guo Jianxin
Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, #277 West Yanta Road, Xi'an, 710061, Shaanxi, China.
CT Imaging Research Center, GE Healthcare, #1 GuangHua Road, Chaoyang District, Beijing, 100010, China.
Heliyon. 2024 Jul 16;10(14):e34763. doi: 10.1016/j.heliyon.2024.e34763. eCollection 2024 Jul 30.
To investigate the relationship between the pericoronary adipose tissue CT mean attenuation (PCAT) measurement and image reconstruction parameters (adaptive statistical iterative reconstruction-veo (ASIR-V) percentage, kernel, and slice thickness).
One hundred and ninety-eight consecutive patients underwent CT coronary angiography at 100 kilovoltage peak (kVp) (n = 102) and 120 kVp (n = 96) were included. All scans were reconstructed by three means: 1. with 11 different ASIR-V percentages, standard kernel and 0.625 mm; 2. with soft, standard, detail, and bone kernels, 60 % ASIR-V, and 0.625 mm; 3. at 0.625 mm and 1.25 mm slice thickness, standard kernel and 60 % ASIR-V. PCAT of the three main coronary arteries was calculated using a dedicated software. Linear regression, analysis of variance (ANOVA), Friedman test, and paired -test were used for statistical analysis.
Linear regression of pooled average data showed that the PCAT was positively and linearly correlated with the ASIR-V percentage (all R squared >0.99). Regression analysis of individual data showed that most R squared were greater than 0.8 or 0.9, but their slope consisted of a relatively wide range. The difference of PCAT among different kernels for each coronary artery reached statistically significant levels ( < 0.001), particularly for the difference between standard and bone kernel. Most of the differences between 0.625 mm and 1.25 mm for LAD, LCX, and RCA at 100 kVp and 120 kVp reached statistical significance ( < 0.001).
PCAT correlates linearly with the strength of ASIR-V. Reconstruction kernel and slice thickness also affect PCAT, especially for the sharp kernels.
研究冠状动脉周围脂肪组织CT平均衰减值（PCAT）测量值与图像重建参数（自适应统计迭代重建-veo（ASIR-V）百分比、卷积核和层厚）之间的关系。
纳入198例连续接受CT冠状动脉造影的患者，其中100千伏峰值（kVp）时扫描的有102例，120 kVp时扫描的有96例。所有扫描均通过三种方式进行重建：1. 使用11种不同的ASIR-V百分比、标准卷积核和0.625毫米层厚；2. 使用软组织、标准、细节和骨卷积核、60% ASIR-V和0.625毫米层厚；3. 层厚为0.625毫米和1.25毫米时，使用标准卷积核和60% ASIR-V。使用专用软件计算三支主要冠状动脉的PCAT。采用线性回归、方差分析（ANOVA）、弗里德曼检验和配对检验进行统计分析。
汇总平均数据的线性回归显示，PCAT与ASIR-V百分比呈正线性相关（所有决定系数R²>0.99）。个体数据的回归分析显示，大多数决定系数大于0.8或0.9，但其斜率范围相对较宽。各冠状动脉不同卷积核之间的PCAT差异达到统计学显著水平（P<0.001），尤其是标准卷积核与骨卷积核之间的差异。在100 kVp和120 kVp时，左前降支（LAD）、左旋支（LCX）和右冠状动脉（RCA）的0.625毫米和1.25毫米层厚之间的大多数差异达到统计学显著水平（P<0.001）。
PCAT与ASIR-V的强度呈线性相关。重建卷积核和层厚也会影响PCAT，尤其是对于锐利的卷积核。
