中国医疗设备2016，Vol.31Issue(11)：50-52,61,4.DOI:10.3969/j.issn.1674-1633.2016.11.011
超声弹性成像技术诊断良恶性甲状腺结节效果的研究
Study on the Effectiveness of Application of Ultrasound Elastography in Diagnosis of Benign and Malignant Thyroid Nodules
摘要
Abstract
Objective To explore the effectiveness of application of Young’s modulus value of shearing wave elastography imaging technique in differential diagnosis of benign and malignant thyroid nodules. Methods A total of 186 patients with thyroid nodules underwent real-time shear wave elasticity imaging. Their ROC (Receiver Operating Characteristic) curves were drawn to acquire the optimal critical value of benign and malignant thyroid nodules. Results There were 90 benign nodules and 129 malignant nodules in the total 219 thyroid lesions. The mean, maximum and minimum Young’s modulus value of benign nodules was (46.11±19.49), (69.13±32.26) and (13.12±7.29) kPa respectively, whereas the mean, maximum and minimum Young’s modulus value of malignant ones was (81.22±21.99), (104.45±42.36) and (24.76±10.91) kPa respectively, with statistically significant difference (P<0.01); The AUC (Area under the Curve) of the ROC curve of maximum and the mean Young’s modulus value was respectively 0.783 and 0.893 (P<0.05). Taking 80.5 kPa as the threshold of maximum Young’s modulus value, the sensitivity was 75.4% and specificity was 73.3%. Taking 63.5 kPa as the threshold of mean Young’s modulus value, the sensitivity was 80.8% and specificity was 85.66%. Conclusion Young’s modulus value of real-time shear wave elasticity imaging could directly and quantitatively reflect the hardness of thyroid nodules, which provided an effective new method for the differential diagnosis of benign and malignant thyroid nodules, and had broad clinical application prospect.关键词
甲状腺良恶结节/甲状腺/杨氏模量/超声弹性成像/ROC曲线Key words
benign and malignant thyroid nodules/thyroid/Young’s modulus/ultrasonic elastography/receiver operating characteristic curve分类
医药卫生引用本文复制引用
黄泽健,阚娜..超声弹性成像技术诊断良恶性甲状腺结节效果的研究[J].中国医疗设备,2016,31(11):50-52,61,4.基金项目
三亚市科技局课题（2015YW20）。 （）
