Literature DB >> 26543170

Sonographic Differentiation Between Schwannomas and Neurofibromas in the Musculoskeletal System.

Jeong Ah Ryu1, Sang Hoon Lee2, Eun-Young Cha1, Tae Yeob Kim1, Sung Moon Kim1, Myung Jin Shin1.   

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); χ(2) and Fisher exact tests were used for analysis of categorical variables.
RESULTS: A total of 146 pathologically proven 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 neurofibromas 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.
© 2015 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  musculoskeletal ultrasound; neurofibroma; schwannoma; soft tissue tumor

Mesh:

Year:  2015        PMID: 26543170     DOI: 10.7863/ultra.15.01067

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  2 in total

1.  Diagnostic accuracy of an integrated approach using conventional ultrasonography, and Doppler and strain elastography in the evaluation of superficial soft tissue lesions.

Authors:  Abhiman Baloji; Ranjan Chandra; Neha Bagri; Ritu Misra; K Rajni; Sharathkumar S Prabhu
Journal:  Pol J Radiol       Date:  2020-06-11

Review 2.  Disorders of neural crest derivates in oncoradiological practice.

Authors:  Tamas Papp; Zsuzsanna Ferenczi; Matyas Petro; Zoltan Meszar; Zita Kepes; Ervin Berenyi
Journal:  Transl Cancer Res       Date:  2019-12       Impact factor: 1.241

  2 in total

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