[1]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(01):57-60.[doi:10.3969/j.issn.1671-7414.2017.01.016]
　GUI Lin,HUANG Yuan-shuai.Diagnostic Value of Serum CA72-4,CA242,CA19-9 and CEA for Gastric Cancer Based on PCA-Decision Tree Model[J].Journal of Modern Laboratory Medicine,2017,32(01):57-60.[doi:10.3969/j.issn.1671-7414.2017.01.016]
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血清CA72-4,CA242,CA19-9和CEA的PCA-决策树模型对胃癌的诊断价值()
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《现代检验医学杂志》[ISSN:/CN:]

卷:
第32卷
期数:
2017年01期
页码:
57-60
栏目:
论著
出版日期:
2017-01-25

文章信息/Info

Title:
Diagnostic Value of Serum CA72-4,CA242,CA19-9 and CEA for Gastric Cancer Based on PCA-Decision Tree Model
文章编号:
1671-7414(2017)01-057-04
作者:
桂 林; 黄远帅
西南医科大学附属医院输血科,四川 泸州 646000
Author(s):
GUI Lin; HUANG Yuan-shuai
Department of Blood Transfusion, the Affiliated Hospital of Southwest Medical University,Sichuan Luzhou 646000,China
关键词:
胃癌;  诊断;  主成分分析;  决策树分析
分类号:
R735.2; R730.43
DOI:
10.3969/j.issn.1671-7414.2017.01.016
文献标志码:
A
摘要:
目的 探讨血清CA72-4,CA242,CA19-9和CEA的主成分分析(PCA)-决策树模型对胃癌的诊断价值。方法 采用电化学发光法测定193例胃癌患者、106例胃良性疾病和86例正常对照血清CA72-4,CA242,CA19-9和CEA水平并进行受试者工作特征曲线(ROC),PCA和PCA-决策树分析。结果 单项指标CA72-4,CA242,CA19-9和CEA的ROC曲线下面积(AUC)分别为0.741(95%CI,0.692～0.791),0.863(95%CI,0.827～0.898),0.783(95%CI,0.737～0.828)和0.827(95%CI,0.785～0.869)。四指标联合的PCA-AUC为0.935(95%CI,0.912～0.958),在临界值(PC得分)为44.13时,敏感度和特异度分别为78.2%和94.8%。单项指标的决策树模型对胃癌和非胃癌(胃良性疾病+正常对照)的诊断正确率为76.2%和94.8%,预测正确率为56.5%和96.5%。联合四指标的PCA-决策树模型对胃癌和非胃癌的分类正确率为90.3%和100%,预测正确率为72.4%和92.2%。结论 血清CA72-4,CA242,CA19-9和CEA的PCA-决策树模型有助于胃癌的鉴别诊断。
Abstract:
Objective To evaluate the diagnostic value of serum tumors CA72-4,CA242,CA19-9 and carcino-embryonic antigen(CEA)for patients with gastric cancer based on principle component analysis(PCA)-decisiontree analysis.Methods Serum levels of CA72-4,CA242,CA19-9 and CEA in 193 patients with gastric cancer,106 patients with benign gastric diseases and 86 nornal controls were measured by electrochemiluminescence assay,and data were analyzed by the receiver operating 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% confidenceinterval(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 sensitivity 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-decisiontree model were 90.3% and 100%,72.4% and 92.2% for prediction,respectively.Conclusion The PCA-decision tree model based on serum CA72-4,CA242,CA19-9 and CEA were helpful for the diagnosis of gastric cancer.

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备注/Memo

备注/Memo:
值基金项目: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)。
作者简介:桂 林(1986-),女,技师,研究方向:输血相关疾病,E-mail:459531301@qq.com。
通讯作者:黄远帅,Tel:0830-3165740,E-mail:riys@live.cn。
更新日期/Last Update: 2017-01-20