中国医师杂志
中國醫師雜誌
중국의사잡지
JOURNAL OF CHINESE PHYSICIAN
2013年
2期
167-169
,共3页
余才华%马志红%李鸿伟%沈琦斌%费淑祎%刘亚萍
餘纔華%馬誌紅%李鴻偉%瀋琦斌%費淑祎%劉亞萍
여재화%마지홍%리홍위%침기빈%비숙의%류아평
癌胚抗原/血液%CA-125抗原/血液%磷酸丙酮酸水合酶/血液%肺肿瘤/诊断%抗原,肿瘤/血液%肿瘤标记,生物学/分析
癌胚抗原/血液%CA-125抗原/血液%燐痠丙酮痠水閤酶/血液%肺腫瘤/診斷%抗原,腫瘤/血液%腫瘤標記,生物學/分析
암배항원/혈액%CA-125항원/혈액%린산병동산수합매/혈액%폐종류/진단%항원,종류/혈액%종류표기,생물학/분석
Carcinoembryonic antigen/blood%CA-125 antigen/blood%Phosphopyruvate hydratase/blood%Lung neoplasms/diagnosis%Antigens,neoplasm/blood%Tumor markers,biological/analysis
目的 探讨综合运用Logistic回归和受试者工作特征曲线(ROC曲线)分析四项肿瘤标志物对肺癌的诊断价值.方法 采用放射免疫法检测1 12例原发性肺癌和74例肺良性疾病患者血清中癌胚抗原(CEA)、糖类抗原-125(CA125)、细胞角蛋白片段19(CYFRA21-1)和神经元特异性烯醇化酶(NSE)的表达水平.通过Logistic回归建立回归模型,用ROC曲线分析4项肿瘤标志物在肺癌诊断中的意义.结果 肺癌患者血清中CEA、CA125、CYFRA21-1和NSE的表达水平[4.53(2.22-11.53) ng/ml、28.97(11.39-62.10) U/ml、4.05(2.29-8.18) ng/ml、14.11(11.35-24.12)ng/ml]明显高于肺良性疾病患者[2.08(1.45-2.52) ng/ml、12.90(9.80-19.44)U/ml、1.53(1.21-2.17) ng/ml、11.38(9.07-12.80) ng/ml],差异有统计学意义(均P＜0.01).通过Logistic回归建立回归方程Y=1/[1 +EXP(4.902-0.394X1-0.627X2-0.165X3)],经ROC曲线分析,新变量Y的ROC曲线下面积(AUC)为0.915 ±0.020,敏感度79.46％、特异度93.24％、准确度84.95％.结论 运用Logistic回归和ROC曲线综合分析可提高肺癌的诊断.
目的 探討綜閤運用Logistic迴歸和受試者工作特徵麯線(ROC麯線)分析四項腫瘤標誌物對肺癌的診斷價值.方法 採用放射免疫法檢測1 12例原髮性肺癌和74例肺良性疾病患者血清中癌胚抗原(CEA)、糖類抗原-125(CA125)、細胞角蛋白片段19(CYFRA21-1)和神經元特異性烯醇化酶(NSE)的錶達水平.通過Logistic迴歸建立迴歸模型,用ROC麯線分析4項腫瘤標誌物在肺癌診斷中的意義.結果 肺癌患者血清中CEA、CA125、CYFRA21-1和NSE的錶達水平[4.53(2.22-11.53) ng/ml、28.97(11.39-62.10) U/ml、4.05(2.29-8.18) ng/ml、14.11(11.35-24.12)ng/ml]明顯高于肺良性疾病患者[2.08(1.45-2.52) ng/ml、12.90(9.80-19.44)U/ml、1.53(1.21-2.17) ng/ml、11.38(9.07-12.80) ng/ml],差異有統計學意義(均P＜0.01).通過Logistic迴歸建立迴歸方程Y=1/[1 +EXP(4.902-0.394X1-0.627X2-0.165X3)],經ROC麯線分析,新變量Y的ROC麯線下麵積(AUC)為0.915 ±0.020,敏感度79.46％、特異度93.24％、準確度84.95％.結論 運用Logistic迴歸和ROC麯線綜閤分析可提高肺癌的診斷.
목적 탐토종합운용Logistic회귀화수시자공작특정곡선(ROC곡선)분석사항종류표지물대폐암적진단개치.방법 채용방사면역법검측1 12례원발성폐암화74례폐량성질병환자혈청중암배항원(CEA)、당류항원-125(CA125)、세포각단백편단19(CYFRA21-1)화신경원특이성희순화매(NSE)적표체수평.통과Logistic회귀건립회귀모형,용ROC곡선분석4항종류표지물재폐암진단중적의의.결과 폐암환자혈청중CEA、CA125、CYFRA21-1화NSE적표체수평[4.53(2.22-11.53) ng/ml、28.97(11.39-62.10) U/ml、4.05(2.29-8.18) ng/ml、14.11(11.35-24.12)ng/ml]명현고우폐량성질병환자[2.08(1.45-2.52) ng/ml、12.90(9.80-19.44)U/ml、1.53(1.21-2.17) ng/ml、11.38(9.07-12.80) ng/ml],차이유통계학의의(균P＜0.01).통과Logistic회귀건립회귀방정Y=1/[1 +EXP(4.902-0.394X1-0.627X2-0.165X3)],경ROC곡선분석,신변량Y적ROC곡선하면적(AUC)위0.915 ±0.020,민감도79.46％、특이도93.24％、준학도84.95％.결론 운용Logistic회귀화ROC곡선종합분석가제고폐암적진단.
Objective To explore the diagnostic value of four tumor markers analyzed with Logistic regression and receiver operator characteristic (ROC) curve in patients with lung cancer.Methods The serum levels of carcinoembryonic antigen (CEA) 、carbohydrate antigen 125 (CA125),cytokeratin 19 fragment (CYFRA21-1) and neuron specific enolase (NSE) were determined by radioimmunoassay in 112 patients with lung cancer and 74 patients with benign pulmonary disease.Four tumor markers were analyzed by Logistic regression and ROC curve.Results The serum levels of CEA,CA125,CYFRA21-1 and NSE in lung cancer patients were [4.53(2.22-11.53)ng/ml,28.97 (11.39-62.10) U/ml,4.05(2.29-8.18)ng/ml,14.11 (11.35-24.12) ng/ml],respectively,which were significantly higher than those in health adults[2.08 (1.45-2.52) ng/ml,12.90 (9.80-19.44) U/ml,1.53 (1.21-2.17) ng/ml,11.38 (9.07-12.80) ng/ml] (all P ＜ 0.01).According to regression equation Y =1/[1 + EXP (4.902-0.394X1-0.627X2-0.165X3)],the area under the ROC curve (AUC),sensitivity,specificity,and accuracy of new variable Y were 0.915 ± 0.020,79.46％,93.24％,and 84.95％,respectively.Conclusions Application of logistic regression and ROC curve increases diagnostic accuracy in lung cancer.
