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Prediction of high-grade meningioma by preoperative MRI assessment

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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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The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Department of Neurosurgery, Division of Neuroscience, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan

    Yosuke Kawahara, Mitsutoshi Nakada, Yutaka Hayashi, Yasuhiko Hayashi, Naoyuki Uchiyama & Jun-ichiro Hamada

  2. Department of Neurosurgery, Kumamoto University, Kumamoto, Japan

    Yutaka Kai & Jun-ichi Kuratsu

  3. Department of Environmental and Preventive Medicine, Kanazawa University, Kanazawa, Japan

    Hiroyuki Nakamura

Authors
  1. Yosuke Kawahara
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  2. Mitsutoshi Nakada
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  3. Yutaka Hayashi
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  4. Yutaka Kai
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  5. Yasuhiko Hayashi
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  6. Naoyuki Uchiyama
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  7. Hiroyuki Nakamura
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  8. Jun-ichi Kuratsu
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  9. Jun-ichiro Hamada
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Correspondence to Mitsutoshi Nakada.

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Kawahara, Y., Nakada, M., Hayashi, Y. et al. Prediction of high-grade meningioma by preoperative MRI assessment. J Neurooncol 108, 147–152 (2012). https://doi.org/10.1007/s11060-012-0809-4

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  • DOI: https://doi.org/10.1007/s11060-012-0809-4

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