中国医学创新
中國醫學創新
중국의학창신
MEDICAL INNOVATION OF CHINA
2015年
13期
1-2,3
,共3页
李佩章%朱波%王英%黄玲莎%黄文成%劳明%茅乃权
李珮章%硃波%王英%黃玲莎%黃文成%勞明%茅迺權
리패장%주파%왕영%황령사%황문성%로명%모내권
肺癌%淋巴结转移%癌胚抗原%鳞状细胞癌抗原%铁蛋白
肺癌%淋巴結轉移%癌胚抗原%鱗狀細胞癌抗原%鐵蛋白
폐암%림파결전이%암배항원%린상세포암항원%철단백
Lung cancer%Lymph nodes metastasis%CEA%SCC%SF
目的:探讨Logistic回归和ROC曲线综合分析血清癌胚抗原(CEA)、鳞状细胞癌抗原(SCC)和铁蛋白(SF)检测在肺癌淋巴结转移中的应用价值。方法:采用电化学发光法检测CEA,酶免法检测SCC,免疫比浊法检测SF,检测100例肺癌患者血清中三种肿瘤标志物水平,其中转移组65例,未转移组35例。结果:转移组CEA、SCC的阳性率显著高于未转移组的阳性率(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。建立回归模型Y=1/[1+EXP(1.584X1+0.935X2-0.425)],新变量Y的AUC高于3种单一肿瘤标志物的AUC。结论:CEA和SCC对肺癌淋巴结转移的诊断具有较高的价值,综合运用Logistic回归和ROC曲线分析的提高临床判断肺癌淋巴结转移的准确性。
目的:探討Logistic迴歸和ROC麯線綜閤分析血清癌胚抗原(CEA)、鱗狀細胞癌抗原(SCC)和鐵蛋白(SF)檢測在肺癌淋巴結轉移中的應用價值。方法:採用電化學髮光法檢測CEA,酶免法檢測SCC,免疫比濁法檢測SF,檢測100例肺癌患者血清中三種腫瘤標誌物水平,其中轉移組65例,未轉移組35例。結果:轉移組CEA、SCC的暘性率顯著高于未轉移組的暘性率(P<0.01,P<0.05),而SF在兩組間的暘性率比較差異無統計學意義。建立迴歸模型Y=1/[1+EXP(1.584X1+0.935X2-0.425)],新變量Y的AUC高于3種單一腫瘤標誌物的AUC。結論:CEA和SCC對肺癌淋巴結轉移的診斷具有較高的價值,綜閤運用Logistic迴歸和ROC麯線分析的提高臨床判斷肺癌淋巴結轉移的準確性。
목적:탐토Logistic회귀화ROC곡선종합분석혈청암배항원(CEA)、린상세포암항원(SCC)화철단백(SF)검측재폐암림파결전이중적응용개치。방법:채용전화학발광법검측CEA,매면법검측SCC,면역비탁법검측SF,검측100례폐암환자혈청중삼충종류표지물수평,기중전이조65례,미전이조35례。결과:전이조CEA、SCC적양성솔현저고우미전이조적양성솔(P<0.01,P<0.05),이SF재량조간적양성솔비교차이무통계학의의。건립회귀모형Y=1/[1+EXP(1.584X1+0.935X2-0.425)],신변량Y적AUC고우3충단일종류표지물적AUC。결론:CEA화SCC대폐암림파결전이적진단구유교고적개치,종합운용Logistic회귀화ROC곡선분석적제고림상판단폐암림파결전이적준학성。
Objective:To investigate the diagnostic value of serum CEA,SCC and SF as analyzed with Logistic vegression and ROC curve in patients with lung cancer lymph nodes metastasis. Method:Serum CEA,SCC,and SF were detected in 100 patients with lung cancer,and in those cases,65 cases were identified as lymph nodes metastasis group and 35 as non-metsatasis group. Result:The positive rate of CEA and SCC of metastais group was evidently higher than that of non-metastasis(P<0.01,P<0.05),but there was no significant difference for SF between the two groups. According to regression equation Y=1/[1+EXP(1.584X1+0.935X2-0.425)],and the AUC of variable Y was higher than any of the three tumor markers. Conclusion:The combination of CEA and SCC is useful as indicator of lung cancer lymph nodes metastasis. Applications of Logistic regression and ROC curve increase diagnostic accuracy in lung cancer.