声脉冲辐射力弹性成像(acoustic radiation force impulse imaging,ARFI)是近年来推出的超声成像新技术,声触诊组织量化技术(virtual touch tissue quantification,VTQ)是其中之一。声脉冲辐射力使组织产生纵向压缩及横向振动,间接反映组织弹性,实现了无创检测特定解剖部位的组织弹性,具有无创、准确、客观等特性。本文对ARFI在甲状腺超声诊断中的临床应用进行综述。VTQ技术可对正常甲状腺、甲状腺弥漫性病变(桥本甲状腺炎和弥漫性毒性甲状腺肿)、甲状腺良恶性结节鉴别进行定量诊断,与实时弹性成像(real time elastography,RTE)、超声造影、细针穿刺等联合应用,可进一步提高诊断准确率。
Abstract
Acoustic radiation force impulse imaging (ARFI) is a new technology
and virtual touch tissue quantification (VTQ) is one of the most commonly used technologies. The acoustic radiation force makes the tissues produce longitudinal compression and lateral vibration
and reflects the tissue elasticity indirectly. It achieves the noninvasive measurement of tissue elasticity in specific anatomical location tissue elasticity with noninvasive
accurate
and objective features. The aim of this review was to illustrate the clinical application of ARFI in normal thyroids and thyroid diseases. VTQ can make quantitative differential diagnosis of the normal thyroid tissues
thyroid diffuse diseases (Hashimotos thyroiditis and Graves disease) and thyroid nodules. The combination of ARFI with real time elastography (RTE)
contrast-enhanced ultrasound (CEUS) and fine needle aspiration (FNA) can improve the diagnostic accuracy.
Feasibility study of automated scanning ultrasound robot for thyroid examination
Progress of thyroid ultrasound in diagnosis and treatment in 2022
Diagnostic value of superb microvascular imaging combined with virtual touch tissue quantification in differentiating breast malignancy
A comparative study of three methods of ultrasound-guided biopsy of thyroid nodules
Comparison of diagnostic yields and analysis of influencing factors of core needle biopsy guided by conventional ultrasound or contrast‑enhanced ultrasound for retroperitoneal tumors
Related Author
XU Huixiong
ZHAO Chongke
ZHANG Shaohua
ZHANG Longhui
CHEN Xuejun
LIN Lewu
LU Qing
SUN Yikang
Related Institution
Department of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University
Department of Ultrasound, Zhongshan Hospital, Fudan University
Wuhan Cobot Technology Co., Ltd., Hubei 430206, Wuhan Province
Department of Medical Ultrasound, Shanghai Tenth Peoples Hospital, Tongji University
Department of Ultrasound, Taizhou Fourth People&rsquo