Diagnostic value of thyroid follicular tumors using grayscale ultrasound combined with ARFI technology

YE Shuigen; XU Lihua; YE Jianpei; HU Suzhi; XIANG Jiankai

doi:10.20258/j.cnki.1006-9011.2025.04.006

Abstract：Objective To analyze the diagnostic value of grayscale ultrasound combined with acoustic radiation force pulse imaging(ARFI)technology for thyroid follicular tumors.Methods Data from 120 patients with thyroid follicular tumors treated in hospitals were collected.All patients underwent grayscale ultrasound and ARFI technology examination during the visit,and received surgical treatment according to the indications.There were complete pathological biopsy diagnosis results,and the patients were divided into malignant group(37 cases)and benign group(83 cases)based on the biopsy results.The main parameters of grayscale ultrasound and ARFI technology were compared between the two groups,and the diagnostic value of grayscale ultrasound combined with ARFI technology for thyroid follicular tumors was evaluated.Results The ultrasound score,tumor internal blood flow grading score,and elastography grading score of the malignant group were higher than those of the benign group,and the AR and SWV values were higher than those of the benign group(P<0.05).The diagnostic AUC values of ultrasound score,tumor internal blood flow grading score,elastography grading score,AR value,and SWV for thyroid follicu-lar tumors were 0.753,0.864,0.741,0.848,and 0.779,respectively,all of which had moderate diagnostic value.Based on the above parameters,a column chart model was constructed and a decision curve was drawn.The model fitted well and had high di-agnostic accuracy.And within the threshold range of 0.00-1.00,the model's net return rate was always greater than 0,with a maximum net return rate of 0.305.Conclusion Grayscale ultrasound combined with ARFI technology can be used for qualita-tive diagnosis of thyroid follicular tumors.The column chart model constructed based on various parameters can accurately differ-entiate between benign and malignant thyroid follicular tumors.