摘要
目的应用Logistic回归和ROC曲线探讨血清癌胚抗原(CEA)、鳞状细胞癌抗原(SCC-Ag)和铁蛋白(SF)检测在肺癌淋巴结转移中的诊断价值。方法分别检测100例手术前肺癌患者血清中三种肿瘤标志物水平,行手术确定淋巴结转移情况,通过Logistic回归建立回归模型,用ROC曲线分析三项指标对肺癌淋巴结转移的价值。结果淋巴结有转移组CEA、SCC-Ag的阳性率显著高于无转移组(P<0.01,P<0.05),而SF在两组间的阳性率比较差异无统计学意义(P>0.05);建立回归模型Y=1/[1+EXP(1.584X1+0.935X2-0.425)],新变量Y的AUC高于三种单一肿瘤标志物的AUC。结论综合运用Logistic回归和ROC曲线分析CEA、SCC-Ag和SF对肺癌淋巴结转移的诊断具有较高的价值,可提高其诊断的准确性。
Objective To investigate the diagnostic value of serum carcinoembryonic antigen ( CEA) , squa-mous cell carcinoma antigen ( SCC-Ag) and ferritin ( SF) for lymph nodes metastasis in lung cancer. Methods The levels of CEA, SCC-Ag and SF were detected in 100 patients with lung cancer before surgery, and then they were giv-en surgery to determine lymph node metastasis. Logistic regression established by the regression model, and the diag-nostic value of the three tumor markers for lymph nodes metastasis was analyzed by ROC curve. Results The posi-tive rate of CEA and SCC-Ag was evidently higher in the metastasis group than in the non-metastasis group ( P〈0. 01, P〈0. 05), but there was no significant difference in SF between the two groups (P〉0. 05). According to re-gression equation Y=1/[1+EXP(1. 584X1+0. 935X2-0. 425)], the AUC of variable Y was higher than any of the three tumor markers. Conclusion The combined detection of CEA, SCC-Ag and SF can improve the diagnostic ac-curacy of lymph nodes metastasis through logistic regression and ROC curve analysis.
出处
《临床肺科杂志》
2015年第7期1192-1194,共3页
Journal of Clinical Pulmonary Medicine
基金
广西壮族自治区卫生厅科研课题(No Z2012354)