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Sonographic Differentiation Between Schwannomas and Neurofibromas in the Musculoskeletal System

Authors
Ryu, Jeong AhLee, Sang HoonCha, Eun-YoungKim, Tae YeobKim, Sung MoonShin, Myung Jin
Issue Date
Dec-2015
Publisher
AMER INST ULTRASOUND MEDICINE
Keywords
musculoskeletal ultrasound; neurofibroma; schwannoma; soft tissue tumor
Citation
JOURNAL OF ULTRASOUND IN MEDICINE, v.34, no.12, pp.2253 - 2260
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF ULTRASOUND IN MEDICINE
Volume
34
Number
12
Start Page
2253
End Page
2260
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/155775
DOI
10.7863/ultra.15.01067
ISSN
0278-4297
Abstract
Objectives The purpose of this study was to determine key features and define a strategy for differentiation between schwannomas and neurofibromas using sonography. Methods This retrospective study was approved by the Institutional Review Board at our hospital, and informed consent was waived. We reviewed sonograms of pathologically proven schwannomas and neurofibromas of the extremities and body wall. On grayscale images, tumors were evaluated on the basis of their size, maximum-to-minimum diameter ratio, shape, contour, margin, location, encapsulation, echogenicity, echo texture, cystic changes, presence of intratumoral calcifications, presence of a target sign, and presence of an entering or exiting nerve. If an entering or exiting nerve was identified, the nerve-tumor position and nerve-tumor transition were characterized. On color Doppler images, the presence and amount of vascularity were evaluated. Student t tests were used for analysis of continuous variables (size, maximum-to-minimum diameter ratio, and age); chi(2) and Fisher exact tests were used for analysis of categorical variables. Results A total of 146 pathologicallyproven tumors, including 115 schwannomas and 31 neurofibromas of the extremities and body wall, were included. The maximum diameter, maximum-to-minimum diameter ratio, contour, cystic portion, nerve-tumor position, nerve-tumor transition, and vascularity were significantly different in schwannomas versus neurofibromas (P < .05), and a lobulated contour, fusiform shape, and hypovascularity of netrofibromas could be helpful for differentiation when a prediction model is considered. The nerve-tumor position, nerve-tumor transition, and maximum-to-minimum diameter ratio were also significantly different between groups (P < .05) and thus could be useful for differentiation of neurogenic tumors. Conclusions Sonographic findings are helpful in differentiating between schwannomas and neurofibromas.
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