Acta Neurochirurgica

, Volume 129, Issue 1–2, pp 39–46 | Cite as

Meningiomas: Correlation between MRI characteristics and operative findings including consistency

  • Y. Suzuki
  • T. Sugimoto
  • M. Shibuya
  • K. Sugita
  • S. J. Patel
Clinical Articles


The findings on magnetic resonance imaging (MRI) in 73 surgically verified intracranial meningiomas were correlated with their histology and consistency during resection.

T 1-weighted imaging was least useful since most of the tumours were iso-intense, similar to cortical grey matter regardless of histology or tumour consistency. The signal intensity on T 2-weighted images was found to best correlate with both the histology and consistency of the meningioma. Generally, the low intensity portion of the tumour on T 2-weighted images indicated a more fibrous and harder character, while the higher intensity portions indicated a more soft character. Most of the fibroblastic meningiomas showed the features of a hard tumour while angioblastic tumours showed the features of soft tumours.

Tumours predicted to be harder on MR imaging generally took longer to resect than softer ones, and this relationship was shown best for the larger tumours. Using linear regression analysis, it appears that operative time for soft tumours is more affected by factors other than tumour consistency. Blood loss during surgery was also unrelated to the consistency of the tumour.

These results suggest that the histology and consistency of meningiomas may be predictable from findings on T 2-weighted imaging, and this may also predict the difficulty and time required for resection.


Tumour consistency meningiomas MRI T 2-weighted image 


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  1. 1.
    Bydder GM, Kingsley DPE, Brown J,et al (1985) MR imaging of meningiomas including studies with and without gadolinium-DTPA. J Comp Assist Tomogr 9: 690–697Google Scholar
  2. 2.
    Chen TC, Zee C-S, Miller CA,et al (1992) Magnetic resonance imaging and pathological correlates of meningiomas. Neurosurgery 31: 1015–1022PubMedGoogle Scholar
  3. 3.
    Demaerel P, Wilms G, Lammens M,et al (1991) Intracranial meningiomas: correlation between MR imaging and histology in fifty patients. J Comp Assist Tomogr 15: 45–51Google Scholar
  4. 4.
    Elster AD, Challa VR, Gilbert TH,et al (1989) Meningiomas: MR and histologic features. Radiology 170: 857–862PubMedGoogle Scholar
  5. 5.
    Goran A, Ciminello VJ, Fisher RG (1965) Haemorrhage into meningiomas. Arch Neurol 13: 65–69PubMedGoogle Scholar
  6. 6.
    Kaplan RD, Coons S, Drayer BP,et al (1992) MR characteristics of meningiomas subtypes at 1.5 Tesla. J Comp Assist Tomogr 16: 366–371Google Scholar
  7. 7.
    Latchaw JP Jr, Dohn DF, Hahn JF,et al (1981) Subarachnoid haemorrhage from an intracranial meningioma. Neurosurgery 9: 433–435PubMedGoogle Scholar
  8. 8.
    Modesti LM, Binet EF, Collins GH (1976) Meningiomas causing spontaneous intracranial hematomas. J Neurosurg 45: 437–441PubMedGoogle Scholar
  9. 9.
    Russell EJ, George AE, Kricheff II,et al (1980) Atypical computed tomographic features of intracranial meningioma: radiological-pathological correlations in a series of 131 consecutive cases. Radiology 135: 673–682PubMedGoogle Scholar
  10. 10.
    Spagnoli MV, Goldberg HI, Grossman RI,et al (1986) Intracranial meningiomas: high-field MR imaging. Radiology 161: 369–375PubMedGoogle Scholar
  11. 11.
    Sugita K, Suzuki Y (1991) Tentorial meningioma. In: Al-Mefty O (ed) Meningiomas. Raven, New York, pp 357–362Google Scholar
  12. 12.
    Zimmerman RD, Fleming CA, Saint-Louis LA,et al (1985) Magnetic resonance imaging of meningiomas. ANJR 6: 149–157Google Scholar
  13. 13.
    Zimmerman RD, Heier LA, Snow RB,et al (1988) Acute intracranial hemorrhage: intensity changes on sequential MR scans at 0.5 T. AJNR 9: 47–57Google Scholar

Copyright information

© Springer-Verlag 1994

Authors and Affiliations

  • Y. Suzuki
    • 2
  • T. Sugimoto
    • 2
  • M. Shibuya
    • 2
  • K. Sugita
    • 2
  • S. J. Patel
    • 1
    • 2
  1. 1.Department of NeurosurgeryMedical University of South CarolinaUSA
  2. 2.Department of NeurosurgeryNagoya University School of MedicineNagoyaJapan

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