Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
GE Healthcare, Computed Tomography Research Center, Beijing, PR China.
Acad Radiol. 2024 Sep;31(9):3579-3589. doi: 10.1016/j.acra.2024.05.001. Epub 2024 Jun 8.
The pericoronary fat attenuation index (FAI) values around plaques may reveal the relationship between periplaque vascular inflammation and different plaque component volume fractions. We aimed to evaluate the potential associations between periplaque FAI values and plaque component volume fractions.
496 patients (1078 lesions) with coronary artery disease, who underwent computed tomography angiography (CCTA) between September 2022 and August 2023, were analyzed retrospectively. Each lesion was characterized and the plaque component volume fractions and periplaque FAI values were measured. Multiple linear regression, weighted quantile sum (WQS) regression, and quantile g-computation (Qgcomp) were used to explore the relationship between plaque component volume fractions and the risk of elevated periplaque FAI values.
After adjusting for clinical characteristics, multiple linear regression identified that lipid components volume fraction (β = 0.162, P < 0.001) were independent risk factors for elevated periplaque FAI values whereas calcified components volume fraction (β = -0.066, P = 0.025) were independent protective factors. The WQS regression models indicated an increase in the overall confounding effect of the adjusted lipid indices and plaque composition volume fraction on the risk of elevated periplaque FAI values (P = 0.004). Qgcomp analysis indicated lipid component volume fraction and calcified component volume fraction was positively and negatively correlated with elevated plaque FAI values, respectively (all P < 0.05).
Periplaque FAI values quantified by CCTA were strongly correlated with lipid and calcification component volume fractions.
斑块周围的冠状动脉脂肪衰减指数（FAI）值可能揭示了斑块周围血管炎症与不同斑块成分体积分数之间的关系。本研究旨在评估斑块周围 FAI 值与斑块成分体积分数之间的潜在关联。
回顾性分析了 2022 年 9 月至 2023 年 8 月期间接受计算机断层血管造影（CCTA）检查的 496 例冠心病患者（1078 处病变）。对每个病变进行特征描述，并测量斑块成分体积分数和斑块周围 FAI 值。采用多元线性回归、加权分位数总和（WQS）回归和分位数 g 计算（Qgcomp）来探讨斑块成分体积分数与升高的斑块周围 FAI 值之间的关系。
在调整临床特征后，多元线性回归分析发现脂质成分体积分数（β=0.162，P<0.001）是升高的斑块周围 FAI 值的独立危险因素，而钙化成分体积分数（β=-0.066，P=0.025）是升高的斑块周围 FAI 值的独立保护因素。WQS 回归模型表明，调整后的脂质指数和斑块成分体积分数对升高的斑块周围 FAI 值的整体混杂作用增加（P=0.004）。Qgcomp 分析表明，脂质成分体积分数和钙化成分体积分数与升高的斑块 FAI 值呈正相关和负相关（均 P<0.05）。
CCTA 定量的斑块周围 FAI 值与脂质和钙化成分体积分数密切相关。
