现代检验医学杂志2017，Vol.32Issue(1)：57-60,4.DOI:10.3969/j.issn.1671-7414.2017.01.016
血清CA72-4，CA242，CA19-9和CEA的PCA-决策树模型对胃癌的诊断价值
Diagnostic Value of Serum CA72-4,CA242,CA19-9 and CEA for Gastric Cancer Based on PCA-Decision Tree Model
摘要
Abstract
Objective To evaluate the diagnostic value of serum tumors CA72-4,CA242,CA19-9 and carcino-embryonic anti-gen (CEA)for patients with gastric cancer based on principle component analysis (PCA)-decision tree analysis.Methods Serum levels of CA72-4,CA242,CA19-9 and CEA in 193 patients with gastric cancer,106 patients with benign gastric disea-ses and 86 nornal controls were measured by electrochemiluminescence assay,and data were analyzed by the receiver operat-ing characteristic (ROC)curve,PCA and PCA-decision tree analysis.Results The area under the ROC curve of CA72-4, CA242,CA19-9 and CEA was 0.741[95% confidence interval (95%CI),0.692~0.791],0.863 (95%CI,0.827~0.898), 0.783 (95%CI,0.737~0.828)and 0.827 (95%CI,0.785~0.869),respectively.The combined four serum tumor markers in the PCA-AUC model was 0.935 (95%CI,0.912~0.958)at the cutoff value (PC score)of 44.13 with 78.2% of sensi-tivity and 94.8% of specificity.The accuracy of serum CA72-4,CA242,CA19-9 and CEA for the diagnosis of gastric cancer group and nongastric cancer group (benign gastric diseases and nornal controls)in the decision tree model were 76.2% and 94.8%,56.5% and 96.5% for prediction,respectively.The combined four serum tumors for the diagnosis of gastric cancer group and nongastric cancer group in PCA-decision tree model were 90.3% and 100%,72.4% and 92.2% for prediction,re-spectively.Conclusion The PCA-decision tree model based on serum CA72-4,CA242,CA19-9 and CEA were helpful for the diagnosis of gastric cancer.关键词
胃癌/诊断/主成分分析/决策树分析Key words
gastric cancer/diagnosis/principle component analysis/decision tree analysis分类
医药卫生引用本文复制引用
桂林,黄远帅..血清CA72-4，CA242，CA19-9和CEA的PCA-决策树模型对胃癌的诊断价值[J].现代检验医学杂志,2017,32(1):57-60,4.基金项目
四川省卫生厅课题资助项目（120336）；西南医科大学人才基金（2014ZD-017）。 （）
