摘要
目的:基于受试者工作特征(ROC)曲线分析甲状腺功能指标鉴别诊断良恶性甲状腺疾病的临床价值。方法:根据病理诊断结果将吉林省肿瘤医院收治的167例甲状腺疾病患者分为甲状腺良性病变(BTL)组(112例)和甲状腺癌(TC)组(55例),观察两组甲状腺功能指标并行ROC曲线分析。结果:两组血清总四碘甲状腺原氨酸(T_(4))、总三碘甲状腺原氨酸(T_(3))、游离甲状腺素(FT_(4))、游离三碘甲状腺原氨酸(FT_(3))、抗甲状腺过氧化物酶抗体(TPOAb)水平比较差异无统计学意义(P>0.05)。TC组促甲状腺激素(TSH)、甲状腺球蛋白(Tg)、甲状腺球蛋白抗体(TgAb)水平均高于BTL组(P<0.05)。经计算,上述3项指标对TC和BTL均具有鉴别诊断价值[曲线下面积(AUC)>0.7,P<0.05],且联合检测的AUC和约登指数均高于各指标单一检测,鉴别效能最高。结论:TSH、Tg与TgAb联合检测在良恶性甲状腺疾病鉴别诊断中具有较高的应用价值。
Objective:To analyze the clinical value of thyroid function indicators in differentiating benign and malignant thyroid diseases based on receiver operating characteristic(ROC)curve analysis.Methods:A total of 167 patients with thyroid diseases admitted to Jilin Provincial Cancer Hospital were divided into the benign thyroid lesion(BTL)group(n=112)and the thyroid cancer(TC)group(n=55)based on pathological diagnosis.Thyroid function indicators were compared between the two groups,and ROC curve analysis was performed.Results:No significant differences were observed in serum levels of total thyroxine(T_(4)),total triiodothyronine(T_(3)),free thyroxine(FT_(4)),free triiodothyronine(FT_(3)),or thyroid peroxidase antibody(TPOAb)between the two groups(P>0.05).The levels of thyroid-stimulating hormone(TSH),thyroglobulin(Tg),and thyroglobulin antibody(TgAb)in the TC group were significantly higher than those in the BTL group(P<0.05).ROC analysis showed that these three indicators had diagnostic value in differentiating TC from BTL(AUC>0.7,P<0.05).Moreover,the combined detection of TSH,Tg,and TgAb yielded a higher AUC and Youden index compared to any single indicator,demonstrating the best discriminative performance.Conclusion:The combined detection of TSH,Tg,and TgAb has high clinical value in the differential diagnosis of benign and malignant thyroid diseases.
作者
宋波
SONG Bo(Department of Nuclear Medicine,Jilin Provincial Cancer Hospital,Changchun 130000,China)
出处
《延边大学医学学报》
2025年第9期66-69,共4页
Journal of Medical Science Yanbian University
关键词
甲状腺疾病
甲状腺功能指标
鉴别诊断
ROC曲线分析
Thyroid diseases
Thyroid function indicators
Differential diagnosis
ROC curve analysis
