多模式超声技术在甲状腺微小结节诊断中的价值
发布时间：2018-11-23 10:01
【摘要】：目的根据甲状腺微小结节的三维能量多普勒定量参数、弹性值及超声特征建立Logistic回归模型,得到对其良恶性具有鉴别诊断意义的变量。方法对215例247个甲状腺微小结节进行分析和检验,采用Logistic回归得出预测甲状腺微小结节良恶性公式。结果 5个变量最终进入回归方程,该模型对甲状腺恶性微小结节预报的敏感度、特异度和准确度分别为71.01%、94.94%和88.26%。结论结节边界模糊、纵横比≥1、微钙化、后方声影衰减和弹性值较高5个特征,对超声鉴别诊断甲状腺微小结节的良恶性具有较高价值。
[Abstract]:Objective to establish a Logistic regression model based on the quantitative parameters of three-dimensional power Doppler, elastic value and ultrasonic characteristics of thyroid micronodules, and to obtain the variables of differential diagnosis for benign and malignant thyroid nodules. Methods A total of 247 thyroid micronodules in 215 cases were analyzed and examined. Logistic regression was used to predict benign and malignant thyroid micronodules. Results five variables finally entered the regression equation. The sensitivity, specificity and accuracy of the model for the prediction of thyroid malignant micronodules were 71.01% 94.94% and 88.26%, respectively. Conclusion there are five characteristics of nodular boundary ambiguity, aspect ratio 鈮，
本文编号：2351177
[Abstract]:Objective to establish a Logistic regression model based on the quantitative parameters of three-dimensional power Doppler, elastic value and ultrasonic characteristics of thyroid micronodules, and to obtain the variables of differential diagnosis for benign and malignant thyroid nodules. Methods A total of 247 thyroid micronodules in 215 cases were analyzed and examined. Logistic regression was used to predict benign and malignant thyroid micronodules. Results five variables finally entered the regression equation. The sensitivity, specificity and accuracy of the model for the prediction of thyroid malignant micronodules were 71.01% 94.94% and 88.26%, respectively. Conclusion there are five characteristics of nodular boundary ambiguity, aspect ratio 鈮，
本文编号：2351177
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