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血清多肿瘤标志物判别方程建立及其对肺癌诊断及分类的意义
引用本文:李梦侠,王东,李增鹏,王佳,关伟,杨镇洲,谢家印,仲召阳.血清多肿瘤标志物判别方程建立及其对肺癌诊断及分类的意义[J].重庆医学,2007,36(19):1926-1928,1972.
作者姓名:李梦侠  王东  李增鹏  王佳  关伟  杨镇洲  谢家印  仲召阳
作者单位:第三军医大学大坪医院野战外科研究所肿瘤中心,重庆,400042;第三军医大学大坪医院野战外科研究所肿瘤中心,重庆,400042;第三军医大学大坪医院野战外科研究所肿瘤中心,重庆,400042;第三军医大学大坪医院野战外科研究所肿瘤中心,重庆,400042;第三军医大学大坪医院野战外科研究所肿瘤中心,重庆,400042;第三军医大学大坪医院野战外科研究所肿瘤中心,重庆,400042;第三军医大学大坪医院野战外科研究所肿瘤中心,重庆,400042;第三军医大学大坪医院野战外科研究所肿瘤中心,重庆,400042
摘    要:目的 探讨多肿瘤标志物联合检测系统在肺癌诊断及分类中的意义,并建立判别方程,以提高诊断正确率.方法 对601例肺癌患者、88例肺部良性疾病患者及1 203例正常体检者的12种常见肿瘤标志物检测结果及临床资料进行回顾性研究,通过Fisher二分类判别分析建立判别诊断及三种主要病理学类型分类方程.结果 单项指标中CEA、CA125和CA242阳性率分别为40.93%、29.78%和13.48%,与肺部良性疾病组和正常人群阳性率差异有统计学意义(P<0.001),其中CEA对肺癌诊断差异有统计学意义(P<0.001).建立肺癌诊断判别方程及分类诊断方程,其中肺癌诊断符合率为89.10%,同时分类诊断符合率为86.10%(鳞癌),92.10%(腺癌)和95.60%(小细胞肺癌)均显著高于其对应的多项指标累加的诊断正确率及CEA单项诊断正确率(P<0.01).结论 肺癌诊断及分类方程有助于临床对多肿瘤标志物意义的理解,能够有效提高肺癌及分类诊断的正确率,有推广应用价值.

关 键 词:肺癌  肿瘤标志物  联合诊断  判别函数
文章编号:1671-8348(2007)19-1926-03
修稿时间:2007-07-13

Establishment of diagnostic equation within serum multiple tumor markers and its significance in diagnosis and classify of Lung Cancer
LI Meng-xia , WANG Dong , LI Zeng-peng,et al..Establishment of diagnostic equation within serum multiple tumor markers and its significance in diagnosis and classify of Lung Cancer[J].Chongqing Medical Journal,2007,36(19):1926-1928,1972.
Authors:LI Meng-xia  WANG Dong  LI Zeng-peng  
Institution:Cancer Center ,Daping Hospital and Surgery Research Institute, Third Military Medical University, Chongqing 400042 ,China
Abstract:Objective To evaluate the significance of multiple tumor markers detection system in diagnosis and classify of lung cancer,and enhance the accuracy rate by establishing the diagnostic equation.Methods Link the tumor markers detection results and the clinical information of 601 cases of lung cancer patients,88 cases of respiratory system benign disease patients and 1203 ca- ses of health examinations by retrospective study.Establish the lung cancer diagnostic equation and classify functions of three ma- jor pathological types.Results The positive rates of CEA,CA125 and CA242 were 40.93%,29.78% and 13.48%,separately, which were significant different from their counterpart of lung benign disease group and health group.Moreover,CEA was signifi- cance rather than CA125 and CA242 in lung cancer diagnosis.The diagnose accordance rate of lung cancer diagnostic equation was 89.10%,and the accordance rate of the classify functions were 86.10%(SC),92.10%(AC)and 95.60%(SCCL)separately,and all had great significance compared with the accuracy rate of CEA and combined diagnosis(P<0.01).Conclusion Diagnostic and classify equation of lung cancer established by this study are great helpful to understand the meaning of multiple tumor marker de- tection result correctly and have significance of enhancing the accuracy rate of lung cancer diagnosis and classify.
Keywords:lung cancer  tumor markers  combined diagnosis  discrimination function
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