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目的:探讨CT心肌灌注成像联合血清胱抑素C（CysC）、半乳糖凝集素-3（Gal-3）检测对冠心病的诊断价值及与冠状动脉病变的相关性。方法:回顾性分析2018年5月至2020年5月武警山西省总队医院126例冠心病患者（冠心病组）和126例疑似冠心病但经冠状动脉造影排除冠心病患者（对照组）的临床资料。两组患者均行CT心肌灌注成像，计算心肌血流量（BF）和平均通过时间（MTT）；采用酶联免疫吸附法检测血清Gal-3，免疫比浊法检测血清CysC。比较两组及不同冠状动脉狭窄程度和病变支数冠心病患者各指标变化情况。采用Logistic回归分析冠心病发病的影响因素；Pearson相关分析BF、MTT、CysC、Gal-3与冠心病患者冠状动脉狭窄程度和病变支数间的关系；绘制受试者工作特征（ROC）曲线，分析各指标诊断冠心病的效能，不同方法曲线下面积（AUC）比较采用DeLong检验，联合诊断实施Logistic二元回归拟合。结果:冠心病组BF明显低于对照组[（102.30 ± 9.25）ml/（100 g·min）比（119.97 ± 12.08）ml/（100 g·min）]，MTT、CysC和Gal-3明显高于对照组[（17.23 ± 3.04）s比（5.38 ± 1.29）s、（0.98 ± 0.24）mg/L比（0.73 ± 0.18）mg/L和（55.27 ± 16.42）ng/L比（16.93 ± 5.75）ng/L]，差异有统计学意义（n P<0.01）。Logistic回归分析结果显示，BF、MTT、CysC和Gal-3是冠心病发病的影响因素（n P<0.01）。ROC曲线分析结果显示，BF、MTT、CysC和Gal-3联合诊断冠心病的AUC最大为0.879，特异度为84.92%，灵敏度为80.95%。冠心病患者随着冠状动脉狭窄程度的加重和病变支数的增多，BF逐渐降低，MTT、CysC和Gal-3逐渐升高，差异有统计学意义（n P<0.05）。Pearson相关分析结果显示，BF与冠心病患者冠状动脉狭窄程度和病变支数呈负相关（n r = - 0.592和- 0.573，n P<0.01），MTT、CysC和Gal-3与冠心病患者冠状动脉狭窄程度、病变支数呈正相关（MTT：n r = 0.695和0.674，n P<0.01；CysC：n r = 0.546和0.519，n P<0.01；Gal-3：n r = 0.628和0.609，n P<0.01）。n 结论:CT心肌灌注成像指标（BF和MTT）、血清CysC和Gal-3水平均与冠心病患者冠状动脉狭窄程度、病变支数相关，且各指标联合检测可提高诊断价值，可为临床诊治及病情监测提供一定的依据。“,”Objective:To investigate the diagnostic value of CT myocardial perfusion combined with serum cystatin C (CysC) and galectin-3 (Gal-3) for coronary heart disease (CHD) and its correlation with coronary artery disease.Methods:The clinical data of 126 patients with CHD (CHD group) and 126 patients with suspected CHD but excluded CHD by coronary angiography (control group) in Shanxi Provincial General Hospital of Armed Police Force from May 2018 to May 2020 were retrospectively analyzed. CT myocardial perfusion myocardial imaging was performed in both groups, and blood perfusion (BF) and mean transit time (MTT) were calculated. The serum Gal-3 was detected by enzyme-linked immunosorbent method, and the serum CysC was detected by immunoturbidimetric method. The changes of indexes in 2 groups and in CHD patients with different degrees of coronary artery stenosis and number of diseased branches were compared. Logistic regression was used to analyze the influencing factors of CHD; Pearson correlation was used to analyze the relationship between BF, MTT, CysC, Gal-3 and the degree of coronary artery stenosis and the number of diseased branches in patients with CHD; the receiver operating characteristic (ROC) curve was drawn, and the effectiveness of each index in diagnosing CHD was analyzed. The area under curve (AUC) was compared by DeLong test, and the combined diagnosis was performed by Logistic binary regression fitting.Results:The BF in CHD group was significantly lower than that in control group: (102.30 ± 9.25) ml/(100 g·min) vs. (119.97 ± 12.08) ml/(100 g·min), the MTT, CysC and Gal-3 were significantly higher than those in control group: (17.23 ± 3.04) s vs. (5.38 ± 1.29) s, (0.98 ± 0.24) mg/L vs. (0.73 ± 0.18) mg/L and (55.27 ± 16.42) ng/L vs. (16.93 ± 5.75) ng/L, and there were statistical differences (n P<0.01). Logistic regression analysis result showed that BF, MTT, CysC and Gal-3 were the influencing factors of CHD (n P<0.01). ROC curve analysis result showed that the AUC of BF, MTT, CysC combined with Gal-3 in the diagnosis of CHD was the largest (0.879), with a specificity of 84.92% and a sensitivity of 80.95%. In patients with CHD, with the aggravation of coronary artery stenosis and the increase of the number of diseased branches, the BF decreased gradually, the MTT, CysC and Gal-3 increased gradually, and there were statistical differences (n P<0.05). Pearson correlation analysis result showed that the BF had negative correlation with the degree of coronary artery stenosis and the number of diseased branches in patients with CHD (n r=-0.592 and -0.573, n P<0.01), and the MTT, CysC and Gal-3 had positive correlation with the degree of coronary artery stenosis and the number of diseased branches (MTT:n r = 0.695 and 0.674, n P<0.01; CysC:n r = 0.546 and 0.519, n P<0.01; Gal-3:n r = 0.628 and 0.609, n P<0.01).n Conclusions:CT myocardial perfusion imaging indexes (BF and MTT), serum CysC and Gal-3 levels are related to the degree of coronary artery stenosis and the number of diseased branches in patients with CHD. The combined detection of various indicators can improve the diagnostic value and provide a certain basis for clinical diagnosis and treatment and disease monitoring.