Analysis of the correlation between pericoronary adipose tissue mean attenuation and plaque characteristics and stenosis in coronary CT angiography.

Coronary artery disease (CAD) is a predominant cardiovascular disorder, particularly in the aging population. The pathophysiology of atherosclerosis involves lipid deposition and inflammation of the arterial walls. With coronary computed tomography angiography offering insights into coronary anatomy and pathology, parameters such as pericoronary adipose tissue mean attenuation (PCATMA) have gained significance in the understanding of cardiac diseases. A retrospective study encompassing 130 patients with CAD was conducted to analyze 269 observation points. Coronary CT Angiography was employed, with specific attention paid to the measurement of PCATMA and a qualitative and quantitative assessment of plaques. Statistical analyses were performed using Statistical Package for the Social Sciences software (version 27.0), independent samples t test, one-way ANOVA, and multivariate logistic regression analysis. There was a notable correlation between PCATMA expression and severity of coronary artery calcification and stenosis. Patients with higher coronary artery calcification scores and more pronounced stenosis had elevated PCATMA values. Variances in PCATMA based on plaque type and degree of stenosis were significant (P < .05). Multivariate logistic regression revealed that plaque presence, type, and degree of stenosis were independent determinants of PCATMA expression. PCATMA expression is closely associated with CAD progression. As plaque calcification and arterial stenosis increase, there is a concomitant increase in PCATMA expression, potentially serving as a pivotal prognostic indicator.