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Preoperative subtyping of meningiomas by perfusion MR imaging

  • Diagnostic Neuroradiology
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Abstract

Introduction

This paper aims to evaluate the value of perfusion magnetic resonance (MR) imaging in the preoperative subtyping of meningiomas by analyzing the relative cerebral blood volume (rCBV) of three benign subtypes and anaplastic meningiomas separately.

Materials and methods

Thirty-seven meningiomas with peritumoral edema (15 meningothelial, ten fibrous, four angiomatous, and eight anaplastic) underwent perfusion MR imaging by using a gradient echo echo-planar sequence. The maximal rCBV (compared with contralateral normal white matter) in both tumoral parenchyma and peritumoral edema of each tumor was measured. The mean rCBVs of each two histological subtypes were compared using one-way analysis of variance and least significant difference tests. A p value less than 0.05 indicated a statistically significant difference.

Results

The mean rCBV of meningothelial, fibrous, angiomatous, and anaplastic meningiomas in tumoral parenchyma were 6.93 ± 3.75, 5.61 ± 4.03, 11.86 ± 1.93, and 5.89 ± 3.85, respectively, and in the peritumoral edema 0.87 ± 0.62, 1.38 ± 1.44, 0.87 ± 0.30, and 3.28 ± 1.39, respectively. The mean rCBV in tumoral parenchyma of angiomatous meningiomas and in the peritumoral edema of anaplastic meningiomas were statistically different (p < 0.05) from the other types of meningiomas.

Conclusion

Perfusion MR imaging can provide useful functional information on meningiomas and help in the preoperative diagnosis of some subtypes of meningiomas.

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References

  1. Riemenschneider MJ, Perry A, Reifenberger G (2006) Histological classification and molecular genetics of meningiomas. Lancet Neurol 5:1045–1054

    Article  PubMed  CAS  Google Scholar 

  2. Louis DN, Ohgaki H, Wiestler OD et al (2007) The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol 114:97–109

    Article  PubMed  Google Scholar 

  3. Wada K, Maruno M, Suzuki T et al (2004) Chromosomal and genetic aberrations differ with meningioma subtype. Brain Tumor Pathol 21:127–133

    Article  PubMed  CAS  Google Scholar 

  4. Okamoto H, Li J, Vortmeyer AO et al (2006) Comparative proteomic profiles of meningioma subtypes. Cancer Res 66(20):10199–10204

    Article  PubMed  CAS  Google Scholar 

  5. Herting B, Meixensberger J, Roggendorf W, Reichmann H (2003) Metabolic patterns in meningiomas. J Neurooncol 65(2):119–123

    Article  PubMed  Google Scholar 

  6. Chen TC, Zee CS, Miller CA et al (1992) Magnetic resonance imaging and pathological correlates of meningiomas. Neurosurgery 31:1015–1022

    Article  PubMed  CAS  Google Scholar 

  7. Ildan F, Tuna M, Gocer AI et al (1999) Correlation of the relationships of brain-tumor interfaces, magnetic resonance imaging, and angiographic findings to predict cleavage of meningiomas. J Neurosurg 91:384–390

    Article  PubMed  CAS  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  9. Hakyemez B, Erdogan C, Bolca N, Yildirim N, Gokalp G, Parlak M (2006) Evaluation of different cerebral mass lesions by perfusion-weighted MR imaging. J Magn Reson Imaging 24(4):817–824

    Article  PubMed  Google Scholar 

  10. Kremer S, Grand S, Remy C et al (2002) Cerebral blood volume mapping by MR imaging in the initial evaluation of brain tumors. Neuroradiology 29:105–113

    CAS  Google Scholar 

  11. Cha S (2003) Perfusion MR imaging: basic principles and clinical applications. Magn Reson Imaging Clin N Am 11(3):403–413

    Article  PubMed  Google Scholar 

  12. Cha S, Knopp EA, Johnson G, Wetzel SG, Litt AW, Zagzag D (2002) Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging. Radiology 223:11–29

    Article  PubMed  Google Scholar 

  13. Yang S, Law M, Zagzag D et al (2003) Dynamic contrast-enhanced perfusion MR imaging measurements of endothelial permeability: differentiation between atypical and typical meningiomas. AJNR Am J Neuroradiol 24:1554–1559

    PubMed  Google Scholar 

  14. Kimura H, Takeuchi H, Koshimoto Y, Arishima H, Uematsu H, Kawamura Y, Kubota T, Itoh H (2006) Perfusion imaging of meningioma by using continuous arterial spin-labeling: comparison with dynamic susceptibility-weighted contrast-enhanced MR images and histopathologic features. AJNR Am J Neuroradiol 27(1):85–93

    PubMed  CAS  Google Scholar 

  15. Rosen BR, Belliveau JW, Vevea JM et al (1990) Perfusion imaging with NMR contrast agents. Magn Reson Med 14:249–265

    Article  PubMed  CAS  Google Scholar 

  16. Weisskoff R, Belliveau J, Kwong K et al (1993) Functional MR imaging of capillary hemodynamics. In: Potchen E (ed) Magnetic resonance angiography: concepts and applications. Mosby, St Louis, MO, pp 473–484

    Google Scholar 

  17. Knopp EA, Cha S, Johnson G et al (1999) Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology 211:791–798

    PubMed  CAS  Google Scholar 

  18. Villringer A, Rosen BR, Bellveau JW et al (1988) Dynamic imaging with lanthanide chelates in normal brain-contrast due to magnetic-susceptibility effects. Magn Reson Med 6:164–174

    Article  PubMed  CAS  Google Scholar 

  19. Aronen HJ, Gazit IE, Louis DN et al (1994) Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 191:41–51

    PubMed  CAS  Google Scholar 

  20. Zierler KL (1962) Theoretical basis of indicator-dilution methods for measuring flow and volume. Circ Res 10:393–407

    Google Scholar 

  21. Sugahara T, Korogi Y, Kochi M et al (2001) Perfusion-sensitive MR imaging of gliomas: comparison between gradient-echo and spin-echo echo-planar imaging techniques. AJNR Am J Neuroradiol 22:1306–1315

    PubMed  CAS  Google Scholar 

  22. Cha S (2006) Update on brain tumor imaging: from anatomy to physiology. AJNR Am J Neuroradiol 27:475–487

    PubMed  CAS  Google Scholar 

  23. Lupo JM, Cha S, Chang SM, Nelson SJ (2005) Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity. AJNR Am J Neuroradiol 26:1446–1454

    PubMed  Google Scholar 

  24. Yoshioka H, Hama S, Taniguchi E et al (1999) Peritumoral brain edema associated with meningioma: influence of vascular endothelial growth factor expression and vascular blood supply. Cancer 85:936–944

    Article  PubMed  CAS  Google Scholar 

  25. Uematsu H, Maeda M, Itoh H (2003) Peritumoral brain edema in intracranial meningiomas evaluated by dynamic perfusion-weighted MR imaging: a preliminary study. Eur Radiol 13(4):758–762

    PubMed  Google Scholar 

  26. Bitzer M, Klose U, Geist-Barth B, Nagele T, Schick F, Morgalla M, Claussen CD, Voigt K (2002) Alterations in diffusion and perfusion in the pathogenesis of peritumoral brain edema in meningiomas. Eur Radiol 12(8):2062–2076

    PubMed  CAS  Google Scholar 

  27. Domingo Z, Rowe G, Blamire AM, Cadoux-Hudson TA (1998) Role of ischaemia in the genesis of oedema surrounding meningiomas assessed using magnetic resonance imaging and spectroscopy. Br J Neurosurg 12(5):414–418

    Article  PubMed  CAS  Google Scholar 

  28. Hiyama H, Kubo O, Tajika Y, Tohyama T, Takakura K (1994) Meningiomas associated with peritumoural venous stasis: three types on cerebral angiogram. Acta Neurochir 129:31–38

    Article  CAS  Google Scholar 

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Acknowledgment

We thank Stella Noach (Department of radiology, University Medical Center Groningen) for her grammatical correction of our paper.

Conflict of interest statement

We declare that we have no conflict of interest.

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Correspondence to Hao Zhang.

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Zhang, H., Rödiger, L.A., Shen, T. et al. Preoperative subtyping of meningiomas by perfusion MR imaging. Neuroradiology 50, 835–840 (2008). https://doi.org/10.1007/s00234-008-0417-3

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  • DOI: https://doi.org/10.1007/s00234-008-0417-3

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