Prediction of high-grade meningioma by preoperative MRI assessment

Yosuke Kawahara1, Mitsutoshi Nakada, Yutaka Hayashi

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

Journal of Neuro-Oncology
|February 14, 2012
PubMed

Insights

Magnetic resonance imaging can predict aggressive high-grade meningiomas. Unclear tumor-brain interface and heterogeneous enhancement on MRI scans are key indicators of malignancy, aiding pre-surgical assessment.

Area of Science:

  • Neurology
  • Radiology
  • Oncology

Background:

  • High-grade meningiomas (WHO grades II and III) exhibit aggressive growth and frequent recurrence, leading to poor patient prognoses.
  • Accurate pre-treatment assessment of tumor malignancy is crucial for effective therapeutic planning.
  • Conventional magnetic resonance (MR) imaging plays a vital role in the diagnostic workup of intracranial tumors.

Purpose of the Study:

  • To identify predictive imaging factors for high-grade meningioma on pre-operative magnetic resonance (MR) imaging.
  • To evaluate the utility of specific MR imaging features in differentiating benign from high-grade meningiomas.

Main Methods:

  • Retrospective review of 65 meningioma cases (39 benign, 26 high-grade).
  • Assessment of four MR imaging features: tumor-brain interface (TBI) on T1-weighted imaging (T1WI), capsular enhancement (CapE) on gadolinium-enhanced T1WI (T1Gd), heterogeneity on T1Gd, and tumoral margin on T1Gd.
  • Univariate and multivariate regression analyses were performed to determine independent predictive factors.

Main Results:

  • All four assessed MR imaging factors demonstrated utility in distinguishing high-grade from benign meningiomas in univariate analysis.
  • Multivariate analysis identified an unclear tumor-brain interface (TBI) and heterogeneous enhancement on T1Gd as independent predictors of high-grade meningioma.
  • The combination of an unclear TBI and heterogeneous enhancement yielded a 98% probability of high-grade meningioma.

Conclusions:

  • Specific conventional MR imaging features, namely an unclear tumor-brain interface and heterogeneous enhancement, are valuable independent predictors of high-grade meningioma.
  • This combination of MR imaging findings can assist clinicians in predicting tumor malignancy before surgery, potentially improving patient management.
  • Further validation of these findings may enhance the pre-operative risk stratification for meningioma patients.

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