Application value of ultrasound microvascular imaging combined with shear wave elastography in the diagnosis of ACR TI-RADS 4 thyroid nodules
Objective To explore the application value of ultrasound microvascular imaging combined with shear wave elastography in differentiating thyroid ultrasound image reporting and data system(TI-RADS)4 benign and malignant thyroid nodules.Methods Totally 114 thyroid nodules diagnosed as ACR TI-RADS 4 in Hangzhou traditional Chinese medicine hospital from November 2021 to December 2022 were retrospectively selected.All nodules were examined by ultrasound microvascular imaging and shear wave elastography,and compared with the surgical pathological results to evaluate the diagnostic efficacy of microvascular imaging,shear wave elastography and the combination of the two.Results Among 114 cases of thyroid TI-RADS type 4 nodules,35 cases were benign nodules,79 cases were malignant nodules.The microvascular pattern of malignant nodules was mainly concentrated and interrupted sign and perforator sign.The Emax value of shear wave elastography was statistically significant in differentiating benign from malignant nodules,and the SWE Emax value of malignant nodules was greater than 41.6kPa(P<0.05).The sensitivity,specificity and accuracy of ultrasound microvascular imaging combined with shear wave elastography in the diagnosis of thyroid TI-RADS 4 nodules were 96.20%,65.72%and 86.84%,respectively,and the area under curve(AUC)was 0.810.The sensitivity and accuracy were higher than those of single diagnosis mode,and the difference was statistically significant(P<0.05).Conclusion Ultrasound microvascular imaging combined with shear wave elastography can improve the diagnostic efficiency of benign and malignant thyroid TI-RADS 4 nodules with high diagnostic sensitivity and accuracy,which is helpful for the noninvasive differential diagnosis of such nodules and avoids some unnecessary needle biopsy.
Microvascular imagingShear wave elastographyThyroid nodulesThyroid imaging reporting and date system
万方数据
维普
