摘要
目的应用Logistic回归模型评价超声造影及弹性成像在甲状腺结节良恶性鉴别诊断中的价值。方法对149例患者的甲状腺结节进行超声造影及弹性成像检查，建立以甲状腺结节超声特征为变量的Logistic回归模型。绘制受试者工作特征曲线，评价Logistic回归模型的预报能力，通过比较各变量的似然比，评价超声造影及弹性成像在甲状腺结节良恶性鉴别诊断中的价值。结果运用前进法二分类Logistic回归分析，筛选出对甲状腺结节良恶性鉴别诊断中有统计学意义的特征变量包括钙化、增强程度、最大灌注强度及弹性评分。超声造影定量指标的似然比明显高于其他变量。所建立的回归模型对甲状腺结节良恶性预报的正确率为91．90％。结论超声造影和弹性成像对诊断甲状腺结节的良恶性具有较高的价值，所建立的Logistic回归模型具有较高的诊断正确率。
Objective To evaluate the contrast-enhanced ultrasound （CEUS） and ultrasonic elastography（UE） in diagnosis of thyroid nodules by a binary Logistic regression model. Methods A total 149 cases with thyroid nodules were examed by CEUS and UE and were confirmed by surgical pathology. A Logistic model was obtained on the basis of ultrasonographic features. Receiver operator characteris （ROC） curve was constructed to assess the performance of the Logistic model. Results Four ultrasonographic features including calcification, enhancement degree, biggest perfusion strength and elastic score were finally entered into the Logistic model. The percentage of correct prediction was 91.90%. Conclusion Both CEUS and UE have high value in differential diagnosis of thyroid nodules and the Logistic regression model has high diagnostic rate.
出处
《中华耳鼻咽喉头颈外科杂志》
CAS
CSCD
北大核心
2013年第6期495-498,共4页
Chinese Journal of Otorhinolaryngology Head and Neck Surgery
