@article{QIMS155054,
author = {Xuezhen Chen and Xiaolin Zhou and Jie Shi and Zhiqiang Bai and Zhihui Wang and Pinggan Li and Yong Li},
title = {Correlation between the coronary computed tomography angiography-derived pericoronary fat attenuation index and coronary artery lesions in Kawasaki disease},
journal = {Quantitative Imaging in Medicine and Surgery},
volume = {16},
number = {7},
year = {2026},
keywords = {},
abstract = {Background: Kawasaki disease (KD), a type of acute systemic vasculitis that affects children, involves the coronary arteries and causes coronary artery lesions (CALs), including dilation, aneurysms, stenosis, and thrombosis. The pericoronary fat attenuation index (FAI), a novel biomarker of perivascular inflammation derived from coronary computed tomography angiography (CCTA), has been extensively validated in the context of adult coronary artery disease for stratifying plaque vulnerability and predicting future cardiac events. This study aimed to investigate the correlation between the FAI and the presence and severity of CALs in patients with KD.Methods: We retrospectively analyzed the coronary computed tomography angiography (CTA) datasets of 71 patients with KD (40 with documented CALs and 31 without CALs) and 30 age- and sex-matched controls. Pericoronary FAI was measured around the proximal segments of all major coronary arteries. The global FAI values and their differences between groups were analyzed. The FAI values, clinical data, and coronary artery dimensions (Z-scores) were compared between groups. In statistical analyses, independent samples t-tests, Pearson or Spearman correlation coefficients, and multivariate logistic regression were applied to determine the independent association between FAI and CALs.Results: Pericoronary FAI values were significantly higher in patients with KD and CALs than in those without CALs [−69.2±5.0 vs. −76.0±7.2 Hounsfield units (HU), P},
issn = {2223-4306}, url = {https://qims.amegroups.org/article/view/155054}
}