摘要
Abstract
Objective To explore the diagnostic value of spectral coronary computed tomography angiography(CCTA)in diabetes patients with coronary artery disease.Methods A total of 88 patients with suspected type 2 diabetes mellitus(T2DM)complicated with coronary artery disease admitted to The First Hospital of Fuzhou affiliated to Fujian Medical University from August 2020 to August 2022 were selected.A total of 352 coronary segments were randomly selected and examined by spectral CCTA.Coronary angiography(CAG)was used as the gold standard to analyze the diagnostic efficacy of spectral CCTA on the severity of coronary artery disease,degree of coronary stenosis,and type of coronary plaques for T2DM patients.Results Among the 88 T2DM patients diagnosed by spectral CCTA,56 cases were complicated with coronary artery disease.Among 352 coronary segments,134 had no stenosis,115 had mild stenosis,68 had moderate stenosis,10 had severe stenosis,135 had no plaque,26 had calcified plaques,103 had noncalcified plaques,and 67 had mixed plaques.The accuracy of spectral CCTA in diagnosing coronary artery disease in T2DM patients was 88.64%,and the Kappa value was 0.733.The accuracies for diagnosing mild,moderate,and severe coronary stenosis were 95.74%,95.82%,and 97.73%,respectively.The corresponding Kappa values were 0.900,0.857,and 0.702.The accuracies for diagnosing coronary calcified plaques,noncalcified plaques,and mixed plaques were 96.01%,97.43%,and 98.24%,respectively.The corresponding Kappa values were 0.754,0.964,and 0.969.Conclusion Spectral CCTA has good diagnostic efficacy in diagnosing the severity of coronary artery disease,degree of coronary stenosis,and type of coronary plaques in T2DM patients.It can provide some reference for early diagnosis and treatment of T2DM combined with coronary artery disease in clinical practice and is worth promoting.关键词
能谱CT冠状动脉血管成像/糖尿病/冠状动脉病变/冠状动脉造影/诊断价值Key words
Spectral coronary computed tomography angiography/Diabetes mellitus/Coronary artery disease/Coronary angiography/Diagnostic value分类
医药卫生
