Clinical Research
Value of ultrasonography in diagnosing peripheral intraneural vascular anomalies
Tiezheng Wang, Hengtao Qi, Lei Xu, Shougang Bao, Xiaofei Mu, Xiandong Zhang, Jianbo Teng
Published 2019-08-25
Cite as Chin J Ultrasonogr, 2019, 28(8): 709-712. DOI: 10.3760/cma.j.issn.1004-4477.2019.08.013
Abstract
ObjectiveTo evaluate the value of ultrasonography in diagnosing peripheral intraneural vascular anomalies.
MethodsThe ultrasonographic images of 10 patients with peripheral intraneural vascular anomalies confirmed by surgery or pathology were retrospectively analyzed. The ultrasonographic features were summarized.
ResultsThe ultrasonographic images could not only clearly show the location, involvement and blood supply of peripheral intraneural vascular anomalies, but also determined the classification of them. Ultrasonography showed enlarging nerves, within which tubular structures could be observed, and the boundary between the vascular malformations and the perineurium was not clear. Abundant arteriovenous blood flow (arteriovenous malformation) or low velocity venous blood flow (venous malformation) within the vascular anomalies could be detected by color Doppler examination.
ConclusionsUltrasonography is the preferred imaging method for diagnosis of peripheral intraneural vascular anomalies.
Key words:
Ultrasonography, Dopper, color; Peripheral nerve; Vascular malformations
Contributor Information
Tiezheng Wang
Department of Ultrasound, Shandong Medical Imaging Research Institute, Jinan 250021, China
Hengtao Qi
Department of Ultrasound, Shandong Medical Imaging Research Institute, Jinan 250021, China
Lei Xu
Department of Vascular Surgery, Shandong Provincial Hospital, Jinan 250021, China
Shougang Bao
Department of Ultrasound, Shandong Medical Imaging Research Institute, Jinan 250021, China
Xiaofei Mu
Department of Ultrasound, Shandong Medical Imaging Research Institute, Jinan 250021, China
Xiandong Zhang
Department of Ultrasound, Shandong Medical Imaging Research Institute, Jinan 250021, China
Jianbo Teng
Department of Ultrasound, Shandong Medical Imaging Research Institute, Jinan 250021, China