Liu Guangqing, Wu Size, Liang Xian, Cui Xiaojing, Zuo Dongshen
Department of Ultrasound, the First Affiliated Hospital of Hainan Medical University, Haikou, China.
Ultrasound Q. 2018 Jun;34(2):62-66. doi: 10.1097/RUQ.0000000000000354.
This study aimed to determine the performance of Virtual Touch tissue quantification (VTQ) technique in the differential evaluation of parotid gland nodules.
Acoustic radiation force impulse VTQ technique was used to determine the shear wave velocity (SWV) of 76 patients with parotid nodules and 30 subjects with normal parotid gland. These nodules were assigned to benign and malignant nodules according to histopathology, measurements of SWV were compared, a cutoff point for benign and malignant nodules was obtained with reference to receiver-operating characteristic curve, and relevant sensitivity and specificity were evaluated.
There were 61 of 76 patients with benign parotid nodules and 15 of 76 patients with malignant nodules. The SWV of the malignant nodules was higher than the SWV of the benign nodules, and the SWV of the benign and malignant nodules was higher than the normal parotid glands. There were significant differences between benign and malignant nodules as well as normal parotid glands in terms of the age and SWV of the nodules (all P < 0.001). The area under the curve is 0.893, the cutoff is 2.445 m/s, and the sensitivity and specificity are 80.0% and 91.8%, respectively.
Acoustic radiation force impulse VTQ technique can determine the stiffness of parotid nodules in general, its ability to distinct malignant from benign nodular nodule is still not strong, and overlay of SWV of VTQ between benign and malignant nodules is the main impedance to set cutoff point.
本研究旨在确定虚拟触诊组织定量(VTQ)技术在腮腺结节鉴别评估中的性能。
采用声辐射力脉冲VTQ技术测定76例腮腺结节患者和30例正常腮腺受试者的剪切波速度(SWV)。根据组织病理学将这些结节分为良性和恶性结节,比较SWV测量值,参照受试者操作特征曲线获得良性和恶性结节的截断点,并评估相关的敏感性和特异性。
76例腮腺结节患者中,良性结节61例,恶性结节15例。恶性结节的SWV高于良性结节,良性和恶性结节的SWV均高于正常腮腺。结节的年龄和SWV在良性与恶性结节以及正常腮腺之间存在显著差异(均P < 0.001)。曲线下面积为0.893,截断值为2.445 m/s,敏感性和特异性分别为80.0%和91.8%。
声辐射力脉冲VTQ技术总体上能够确定腮腺结节的硬度,但其区分恶性与良性结节的能力仍不强,VTQ的SWV在良性和恶性结节之间的重叠是设定截断点的主要障碍。