Literature DB >> 30684254

Differentiation between intraspinal schwannoma and meningioma by MR characteristics and clinic features.

Xiaodong Zhai1, Ming Zhou1, Hongwei Chen1, Qunfeng Tang1, Zhimin Cui1, Yong Yao2, Qihua Yin3.   

Abstract

OBJECTIVES: To retrospectively review the MRI characteristics and clinic features and evaluate the effectiveness of MR imaging in differentiating intraspinal schwannomas and meningiomas, with the excised histopathologic findings as the reference standard.
MATERIALS AND METHODS: One hundred and four schwannomas (M/F, 57:47) and 53 meningiomas (M/F, 13:40) underwent MR examinations before surgical treatment. Simple clinic data and imaging findings were considered:(a) location (craniocaudal and axial), (b) size, (c) morphology, (d) dural contact, (e) signal characteristics, (f) enhancement degree and patterns. The usefulness of the algorithm for differential diagnosis was examined between the two tumors.
RESULTS: Interobserver agreement was good (κ = 0.7-0.9). Ten cases meningiomas demonstrated multiple lesions. There was a female predominance in the meningiomas (P < 0.001). Meningiomas predominantly were located in the ventral or anterolateral areas of thoracic regions, while schwannomas in the posterolateral areas of the thoracic and the lumbar regions (P < 0.001). Mean size of the lesions was 1.47 ± 0.36 cm for meningioma, and 2.02 ± 1.13 cm for schwannoma (P < 0.001). A dumbbell shape with intervertebral foramen widening could detect schwannomas, while the "dural tail sign" did meningiomas (P < 0.001). Hypointense and miscellaneous signal implied meningioma on T1WIs (P < 0.001). Isointense was more frequently observed in the meningiomas, while the fluid signal intensity and miscellaneous signal in the schwannomas on T2WIs (P < 0.001). Schwannomas usually manifested rim enhancement, while meningiomas diffuse enhancement (P = 0.005). There were six variables including the logistic equation (age, size, dural tail sign, morphology, T2WI, and axial location). The accuracy of the algorithm in diagnosis of schwannomas was 87.1%.
CONCLUSIONS: Combination of clinic data and MRI performs significantly for differentiating between intraspinal meningiomas and schwannomas.

Entities:  

Keywords:  Magnetic resonance imaging; Schwannoma; Spinal meningioma

Mesh:

Substances:

Year:  2019        PMID: 30684254     DOI: 10.1007/s11547-019-00988-z

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  27 in total

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-08-27       Impact factor: 4.254

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Review 9.  Epidemiology and etiology of meningioma.

Authors:  Joseph Wiemels; Margaret Wrensch; Elizabeth B Claus
Journal:  J Neurooncol       Date:  2010-09-07       Impact factor: 4.130

10.  Radiological findings of spinal schwannomas and meningiomas: focus on discrimination of two disease entities.

Authors:  Wei Chiang Liu; Gun Choi; Sang-Ho Lee; Heon Han; Ji Yeon Lee; Yong Hwan Jeon; Hyeon Seon Park; Ji Young Park; Sung Suk Paeng
Journal:  Eur Radiol       Date:  2009-06-06       Impact factor: 5.315

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2.  Evaluation of Magnetic Resonance Imaging for Microsurgical Efficacy and Relapse of Rolandic Meningioma.

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3.  The value of quantitative magnetic resonance imaging signal intensity in distinguishing between spinal meningiomas and schwannomas.

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