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Published in: Journal of Neuro-Oncology 1/2012

01-05-2012 | Clinical Study

Prediction of high-grade meningioma by preoperative MRI assessment

Authors: Yosuke Kawahara, Mitsutoshi Nakada, Yutaka Hayashi, Yutaka Kai, Yasuhiko Hayashi, Naoyuki Uchiyama, Hiroyuki Nakamura, Jun-ichi Kuratsu, Jun-ichiro Hamada

Published in: Journal of Neuro-Oncology | Issue 1/2012

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Abstract

High-grade (World Health Organization grades II and III) meningiomas grow aggressively and recur frequently, resulting in a poor prognosis. Assessment of tumor malignancy before treatment initiation is important. We attempted to determine predictive factors for high-grade meningioma on magnetic resonance (MR) imaging before surgery. We reviewed 65 meningiomas (39 cases, benign; 26 cases, high-grade) and assessed four factors: (1) tumor–brain interface (TBI) on T1-weighted imaging (T1WI), (2) capsular enhancement (CapE), i.e., the layer of the tumor–brain interface on gadolinium-enhanced T1WI (T1Gd), (3) heterogeneity on T1Gd, and (4) tumoral margin on T1Gd. All four factors were useful in distinguishing high-grade from benign meningiomas, according to univariate analysis. On multivariate regression analysis, unclear TBI and heterogeneous enhancement were independent predictive factors for high-grade meningioma. In meningiomas with an unclear TBI and heterogeneous enhancement, the probability of high-grade meningioma was 98%. Our data suggest that this combination of factors obtained from conventional sequences on MR imaging may be useful to predict high-grade meningioma.
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Metadata
Title
Prediction of high-grade meningioma by preoperative MRI assessment
Authors
Yosuke Kawahara
Mitsutoshi Nakada
Yutaka Hayashi
Yutaka Kai
Yasuhiko Hayashi
Naoyuki Uchiyama
Hiroyuki Nakamura
Jun-ichi Kuratsu
Jun-ichiro Hamada
Publication date
01-05-2012
Publisher
Springer US
Published in
Journal of Neuro-Oncology / Issue 1/2012
Print ISSN: 0167-594X
Electronic ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-012-0809-4

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