甲状腺结节的超声声像图多元回归分析

Ultrasonographic diagnosis of thyroid nodules by multiple Logistic regression

目的:探讨超声多元参数对甲状腺良恶性结节判别的意义,以筛选鉴别结节良恶性的敏感指标。方法:对301个经病理确诊甲状腺结节的超声声像图参数进行多元逐步回归分析。结果:经逐步回归的多变量二分类Logistic回归分析,引入方程的4个超声检查指标包括结节是否伴有微小钙化、结节内部回声、包膜的完整性以及结节的边界。结论:以超声特征诊断甲状腺结节的Logistic回归模型有助于鉴别甲状腺良、恶性病变。

Objective：To explore the significance of ultrasound multiple parameters in distinguishing benign and malignant thyroid nodules ,and to screen the sensitive indexes for the differential diagnosis. Methods：Three hundreds and one thyroid nodules were enrolled in this study. The uhrasonograms were retrospectively studied with multiple stepwise regression analysis. Results ： With stepwise regression analysis of muhivariable binary logistic regression analysis,4 ultrasound evaluation indexes were enrolled：microcalcification, internal echo of nodule ,integrity of capsule and nodule boundary. Conclusions：The Logistic model can help differentiate benign from malignant thyroid nodules.