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Predictors of meningioma consistency: A study in 243 consecutive cases

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Abstract

Background

Meningioma is a common neoplasm primarily arising in the central nervous system. Its consistency is considered to be one of the critical prognostic factors for determining surgical resectability. The present study endeavored to investigate predictive factors associated with the tumor consistency.

Methods

Two hundred and forty-three consecutive participants who underwent resective surgery of meningioma were examined. The authors designed an objective grading system for meningioma consistency and utilized it for assessing consistency among all cases. We focused on the relationship between preoperative tumor characteristics on neuroimaging studies and the consistency.

Results

The tumor attributes on T2-weighted image (T2WI) and fluid attenuated inversion recovery (FLAIR) image were significantly correlated with the tumor consistency (p = 0.004 and 0.045, respectively). The hypointense tumors on both MRI sequences tended to be hard, whereas the tumors showing hypersignal intensity were associated with soft consistency. There was no correlation between the consistency and age, gender, duration of neurologic symptoms, tumor location, size, calcification, cystic portion, en plague appearance, tumor-brain contact interface expressed by cerebrospinal fluid (CSF) cleft, perilesional vasogenic edema, bony status, features on T1-weighted image (T1WI) and pattern of contrast enhancement. In multiple logistic regression analysis, the tumor characteristics on T2WI and FLAIR image were independent factors significantly correlated with the tumor consistency (p = 0.005 and 0.041, respectively). The tumor consistency was also correlated with operative radicalness as evaluated by the Simpson criteria.

Conclusions

Signal intensity on T2WI and FLAIR image can be used for insinuating meningioma consistency. Presurgical prediction of the consistency is highly valuable in operative planning, particularly in arduous cases.

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References

  1. Alexiou GA, Gogou P, Markoula S, Kyritsis AP (2010) Management of meningiomas. Clin Neurol Neurosurg 112:177–182

    Article  PubMed  Google Scholar 

  2. Carpeggiani P, Crisi G, Trevisan C (1993) MRI of intracranial meningiomas: correlation with histology and physical consistency. Neuroradiol 35:532–536

    Article  CAS  Google Scholar 

  3. Chen TC, Zee CS, Miller CA, Weiss MH, Tang G, Chin L, Levy ML, Apuzzo ML (1992) Magnetic resonance imaging and pathological correlates of meningiomas. Neurosurg 31:1015–1021

    Article  CAS  Google Scholar 

  4. Elster AD, Challa VR, Gilbert TH, Richardson DN, Contento JC (1989) Meningiomas: MR and histopathologic features. Radiol 170:857–862

    CAS  Google Scholar 

  5. Gurkanlar D, Er U, Sanli M, Ozkan M, Sekerci Z (2005) Peritumoral brain edema in intracranial meningiomas. J Clin Neurosci 12:750–753

    Article  PubMed  Google Scholar 

  6. Hoover JM, Morris JM, Meyer FB (2011) Use of preoperative magnetic resonance imaging T1 and T2 sequences to determine intraoperative meningioma consistency. Surg Neurol Int 2:142

    Article  PubMed  Google Scholar 

  7. Kaplan RD, Coons S, Drayer BP, Bird CR, Johnson PC (1992) MR characteristics of meningioma subtypes at 1.5 Tesla. J Comput Assist Tomogr 16:366–371

    Article  CAS  Google Scholar 

  8. Kashimura H, Inoue T, Ogasawara K, Arai H, Otawara Y, Kanbara Y, Ogawa A (2007) Prediction of meningioma consistency using fractional anisotropy value measured by magnetic resonance imaging. J Neurosurg 107:784–787

    Article  PubMed  Google Scholar 

  9. Kendall B, Pullicino P (1979) Comparison of consistency of meningiomas and CT appearances. Neuroradiol 18:173–176

    Article  CAS  Google Scholar 

  10. Louis DN, Scheithauer BW, Budka H, von Deimling A, Kepes JJ (2000) Meningiomas. In: Cavenee WK (ed) Kleihues P. Pathology and genetics. tumours of the nervous system. IARC Press, Lyon, pp 176–184

    Google Scholar 

  11. Maiuri F, Iaconetta G, de Divitiis O, Cirillo S, Di Salle F, De Caro ML (1999) Intracranial meningiomas: correlations between MR imaging and histology. Eur J Radiol 31:69–75

    Article  PubMed  CAS  Google Scholar 

  12. Marosi C, Hassler M, Roessler K, Reni M, Sant M, Mazza E, Vecht C (2008) Meningioma. Crit Rev Oncol Hematol 67:153–171

    Article  PubMed  Google Scholar 

  13. Nakano T, Asano K, Miura H, Itoh S, Suzuki S (2002) Meningiomas with brain edema: radiological characteristics on MRI and review of the literature. Clin Imaging 26:243–249

    Article  PubMed  Google Scholar 

  14. Pereira-Filho Nde A, Soares FP, Chemale Ide M, Coutinho LM (2010) Peritumoral brain edema in intracranial meningiomas. Arq Neuropsiquiatr 68:346–349

    Article  PubMed  Google Scholar 

  15. Simpson D (1957) The recurrence of intracranial meningiomas after surgical treatment. J Neurol Neurosurg Psychiatry 20:22–39

    Article  PubMed  CAS  Google Scholar 

  16. Soyama N, Kuratsu J, Ushio Y (1995) Correlation between Magnetic resonance images and histology in meningiomas: T2-weighted images indicate collagen contents in tissues. Neurol Med Chir (Tokyo) 35:438–441

    Article  CAS  Google Scholar 

  17. Suzuki Y, Sugimoto T, Shibuya M, Sugita K, Patel SJ (1994) Meningiomas: correlation between MRI characteristics and operative findings including consistency. Acta Neurochir (Wien) 129:39–46

    Article  CAS  Google Scholar 

  18. Tanaka M, Imhof HG, Schucknecht B, Kollias S, Yonekawa Y, Valavanis A (2006) Correlation between the efferent venous drainage of the tumor and peritumoral edema in intracranial meningiomas: superselective angiographic analysis of 25 cases. J Neurosurg 104:382–388

    Article  PubMed  Google Scholar 

  19. Yamaguchi N, Kawase T, Sagoh M, Ohira T, Shiga H, Toya S (1997) Prediction of consistency of meningiomas with preoperative magnetic resonance imaging. Surg Neurol 48:579–583

    Article  PubMed  CAS  Google Scholar 

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Acknowledgment

The authors would like to thank Julaporn Pool-iam, Clinical Epidemiology Unit, Office of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University for statistical consultation.

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Correspondence to Bunpot Sitthinamsuwan.

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Sitthinamsuwan, B., Khampalikit, I., Nunta-aree, S. et al. Predictors of meningioma consistency: A study in 243 consecutive cases. Acta Neurochir 154, 1383–1389 (2012). https://doi.org/10.1007/s00701-012-1427-9

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  • DOI: https://doi.org/10.1007/s00701-012-1427-9

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