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logistic hui gui he roc qu xian fen xi duo zhong zhong liu biao zhi wu zai jian bie liang e xing xiong shui zhong de ying yong jia zhi
Author(s): 
Pages: 238-240
Year: Issue:  2
Journal: The Journal of Practical Medicine

Keyword:  肿瘤标记生物学胸水Logistic回归ROC曲线;
Abstract: 目的:应用Logistic回归和ROC曲线探讨癌胚抗原(CEA)、鳞癌抗原(SCC)、神经特异性烯醇化酶(NSE)和细胞角蛋白19片段(CYFRA21-1)在鉴别良恶性胸水中的应用价值.方法:应用化学发光微粒子免疫测定法和电化学发光免疫测定法对24例肺癌患者、32例良性肺部疾病患者的胸水标本进行4种肿瘤标志物测定.通过ROc曲线分析CEA、CYFRA21-1、NSE、SCC及各种Logistic回归结果的ROC曲线下面积(AUC)值.结果:肺癌患者-良性肺部疾病患者胸水中,除SCC外其余3种肿瘤标志物差异均有显著性(P<0.05).CEA的AUC要高于CYFRA21-1,而CYFRA21-1的AUC要高于NSE,NSE的AUC要高于SCC,而CEA、CYFRA21-1、NSE三者联合诊断的AUC要高于其中任意单一检查的AUC.结论:检测CEA、CYFRA21-1和NSE 3种肿瘤标志物对诊断和鉴别诊断良、恶性肺部疾病有重要临床价值.作为一种统计手段,ROC分析中结合Logistic回归模型简单有效,适用于多指标联合诊断试验的分析评价.
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