CA199、NSE、CA153、CEA联合检测在脑胶质瘤诊断及预后分析中的应用

目的 探讨糖类抗原(CA)199、神经元特异性烯醇化酶(NSE)、CA153、癌胚抗原(CEA)在脑胶质瘤中的诊断价值及其与预后的关系.方法 收集该院2017年8月至2019年9月收治的52例脑胶质瘤患者为脑胶质瘤组,另选取60例脑外伤颅内压手术患者为对照组.采用酶联免疫吸附试验法检测CA199、NSE、CA153、C...

Application of combined detection of CA199,NSE,CA153 and CEA in diagnosis and prognosis analysis of brain glioma

Objective To investigate the diagnostic value of carbohydrate antigen(CA)199,neuron specific enolase(NSE),CA153 and carcinoembryonic antigen(CEA)in the diagnosis of gliomas and their relationship with prognosis.Methods Totally 52 patients with gliomas in our hospital from August 2017 to September 2019 were selected as the brain glioma group,and 60 patients with intracranial pressure after traumatic brain injury were selected as the control group.The levels of CA199,NSE,CA153 and CEA were detected by enzyme-linked immunosorbent assay.The diagnostic value of CA199,NSE,CA153 and CEA in the diagnosis of glioma was evaluated by receiver operating characteristic curve,and the diagnostic efficacy of combined detection and single detection of four indicators was compared.Logistic regression was used to analyze the relationship between the four indexes and the prognosis of patients.Results The serum levels of CA199,NSE,CA153 and CEA in brain glioma group were significantly higher than those in control group(P<0.05);Compared with low-grade brain glioma patients,the serum levels of CA199,NSE,CA153 and CEA in high-grade brain glioma patients were significantly higher(P<0.05).The area under the curve of NSE,CA199,CA153,CEA of single detection was 0.709(95%CI:0.616-0.791),0.859(95%CI:0.781-0.918),0.782(95%CI:0.694-0.854),0.630(95%CI:0.694-0.854).The combined diagnostic sensitivity,specificity and accuracy of NSE,CA199,CA153 and CEA were 88.46%,81.67%and 84.82%,respectively.The combined diagnostic sensitivity and accuracy of the four indexes were significantly higher than those of single detection(P<0.05).Compared with the good prognosis group,the serum levels of CA199,NSE,CA153 and CEA in the poor prognosis group were significantly higher(P<0.05).Logistic regression analysis showed that NSE,CA153,CA199 and CEA were independent prognostic factors(P<0.05).Conclusion NSE,CA153,CA199 and CEA have certain diagnostic value for brain glioma,and the combined diagnosis is more effective,which is an independent prognostic factor for brain glioma patients.