Objective To investigate the correlation between plaque characteristics and perivascular fat attenuation index(FAI)in patients with coronary heart disease by coronary computed tomography angiography(CCTA)based on artificial intelligence.Methods The clinical and CCTA imaging data of 154 patients suspected to be coronary heart disease were retrospectively collected.The rela-tionship between FAI and multiple factors affecting plaque was analyzed to identify the independent risk factors affecting FAI measure-ments.Results The FAI values in calcified plaque(CP),non-calcified plaque(NCP)and mixed plaque of left anterior descending artery(LAD)were statistically significant(P＜0.05).There were significantly different of FAI values among NCP and mixed plaque in different coronary arteries(P＜0.05),while the FAI values of CP in different coronary arteries had no statistical significance(P＞0.05).The FAI values proximal coronary artery plaques were independently correlated with low density plaque and plaque location.Conclusion The location of the coronary artery plaque and the low density plaque are FAI independent factors.The analysis based on plaque around FAI helps to identify low density plaque of high-risk coronary artery plaque,which may be monitor plaque inflammation more accu-rate around the change.