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作 者:高玲滨 陈波 蒋丽丽 Gao Lingbin;Chen Bo;Jiang Lili(Laboratory of Kunshan Second People's Hospital,Kunshan Jiangsu 215300,China;Kunshan City Qiandeng Town Community Health Service Center Laboratory,Kunshan Jiangsu 215300,China)
机构地区:[1]昆山市第二人民医院检验科,江苏昆山215300 [2]昆山市千灯镇社区卫生服务中心检验科,江苏昆山215300
出 处:《生命科学仪器》2024年第6期20-22,共3页Life Science Instruments
基 金:昆山市科技计划项目,基金编号:KS1905
摘 要:目的探讨血清铁蛋白(SF)、癌胚抗原(CEA)、糖类抗原(CA)15-3联合检测诊断乳腺癌及预测复发转移的临床价值。方法选择2017年1月至2024年5月期间昆山市第二人民医院收治的乳腺癌、良性乳腺病患者各60例,均检测血清SF、CEA及CA15-3,比较两组检测结果,分析联合检测的诊断效能。将乳腺癌组患者分为复发转移组与未复发转移组,比较两组血清SF、CEA以及CA15-3检测结果。结果乳腺癌组血清SF、CEA及CA15-3水平均较良性乳腺病组高(P<0.05);联合检测的诊断准确度为87.50%、灵敏度为86.67%,均高于单独检测结果(P<0.05)。复发转移组血清SF、CEA及CA15-3水平均较未复发转移组高(P<0.05)。结论乳腺癌患者血清SF、CEA及CA15-3水平均存在异常升高的情况,联合检测对该病的诊断效能高,并可辅助预测乳腺癌的复发转移。Objective:To explore the clinical value of combined detection of serum ferritin(SF)、carcinoembryonic antigen(CEA)and carbohydrate antigen(CA)15-3 in diagnosing breast cancer and predicting recurrence and metastasis.Methods:From January 2017 to May 2024,60 patients with breast cancer and 60 patients with benign breast disease in Kunshan Second People's Hospital were selected,and their serum SF、CEA and CA15-3 were detected.The results of the two groups were compared,and the diagnostic efficiency of the combined detection was analyzed.Patients with breast cancer were divided into recurrence and metastasis group and non-recurrence and metastasis group,and the detection results of serum SF、CEA and CA15-3 were compared between the two groups.Results:Serum SF、CEA and CA15-3 levels in breast cancer group were higher than those in benign breast disease group(P<0.05).The diagnostic accuracy and sensitivity of combined detection were 87.50%and 86.67%,which were higher than those of single detection(P<0.05).The average levels of serum SF、CEA and CA15-3 in patients with recurrence and metastasis were higher than those in patients without recurrence and metastasis(P<0.05).Conclusion:Serum SF、CEA and CA15-3 water in patients with breast cancer are abnormally elevated on average.Combined detection has high diagnostic efficiency and can help predict the recurrence and metastasis of breast cancer.
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