» Articles » PMID: 16896907

Meningiomas with Conventional MRI Findings Resembling Intraaxial Tumors: Can Perfusion-weighted MRI Be Helpful in Differentiation?

Overview
Journal Neuroradiology
Specialties Neurology
Radiology
Date 2006 Aug 10
PMID 16896907
Citations 28
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: To investigate the contribution of perfusion-weighted MRI to the differentiation of meningiomas with atypical conventional MRI findings from intraaxial tumors.

Methods: We retrospectively analyzed 54 meningiomas, 12 glioblastomas and 13 solitary metastases. We detected 6 meningiomas with atypical features on conventional MRI resembling intraaxial tumors. The regional cerebral blood flow (rCBV) ratios of all tumors were calculated via perfusion-weighted MRI. The signal intensity-time curves were plotted and three different curve patterns were observed. The type 1 curve resembled normal brain parenchyma or the postenhancement part was minimally below the baseline, the type 2 curve was similar to the type 1 curve but with the postenhancement part above the baseline, and the type 3 curve had the postenhancement part below the baseline accompanied by widening of the curve. Student's t-test was used for statistical analysis.

Results: On CBV images meningiomas were hypervascular and the mean rCBV ratio was 10.58+/-2.00. For glioblastomas and metastatic lesions, the rCBV ratios were 5.02+/-1.40 and 4.68+/-1.54, respectively. There was a statistically significant difference in rCBV ratios between meningiomas and glioblastomas and metastases (P<0.001). Only one of the meningiomas displayed a type 2 curve while five showed a type 3 curve. Glioblastomas and metastases displayed either a type 1 or a type 2 curve. None of the meningiomas showed a type 1 curve and none of the glioblastomas or metastases showed a type 3 curve.

Conclusion: Differentiating meningiomas with atypical conventional MRI findings from malignant intraaxial tumors can be difficult. Calculation of rCBV ratios and construction of signal intensity-time curves may contribute to the differentiation of meningiomas from intraaxial tumors.

Citing Articles

Malignant Meningiomas: From Diagnostics to Treatment.

Rowbottom H, Smigoc T, Ravnik J Diagnostics (Basel). 2025; 15(5).

PMID: 40075786 PMC: 11898517. DOI: 10.3390/diagnostics15050538.


Arterial spin labeled perfusion MRI for the assessment of radiation-treated meningiomas.

Manning P, Srinivas S, Bolar D, Rajaratnam M, Piccioni D, McDonald C Front Radiol. 2024; 4:1345465.

PMID: 38562528 PMC: 10982483. DOI: 10.3389/fradi.2024.1345465.


Clustering Functional Magnetic Resonance Imaging Time Series in Glioblastoma Characterization: A Review of the Evolution, Applications, and Potentials.

De Simone M, Iaconetta G, Palermo G, Fiorindi A, Schaller K, De Maria L Brain Sci. 2024; 14(3).

PMID: 38539683 PMC: 10968478. DOI: 10.3390/brainsci14030296.


Atypical radiological aspect of meningioma: Web-like enhancement.

El Farissi M, Dahamou M, Bakkar N, Dehenh Y, Khoulali M, Oulali N Radiol Case Rep. 2023; 18(8):2796-2799.

PMID: 37388260 PMC: 10300459. DOI: 10.1016/j.radcr.2023.05.029.


Dynamic contrast-enhanced computed tomography perfusion parameters of canine suspected brain tumors at baseline and during radiotherapy might be different depending on tumor location but not associated with survival.

Mortier J, Maddox T, Blackwood L, La Fontaine M, Busoni V Front Vet Sci. 2023; 10:1179762.

PMID: 37187932 PMC: 10175699. DOI: 10.3389/fvets.2023.1179762.


References
1.
Kremer S, Grand S, Remy C, Pasquier B, Benabid A, Bracard S . Contribution of dynamic contrast MR imaging to the differentiation between dural metastasis and meningioma. Neuroradiology. 2004; 46(8):642-8. DOI: 10.1007/s00234-004-1194-2. View

2.
Speck O, Chang L, DeSilva N, Ernst T . Perfusion MRI of the human brain with dynamic susceptibility contrast: gradient-echo versus spin-echo techniques. J Magn Reson Imaging. 2000; 12(3):381-7. DOI: 10.1002/1522-2586(200009)12:3<381::aid-jmri2>3.0.co;2-y. View

3.
Zee C, Chen T, Hinton D, Tan M, Segall H, Apuzzo M . Magnetic resonance imaging of cystic meningiomas and its surgical implications. Neurosurgery. 1995; 36(3):482-8. DOI: 10.1227/00006123-199503000-00006. View

4.
Verheggen R, Finkenstaedt M, Bockermann V, Markakis E . Atypical and malignant meningiomas: evaluation of different radiological criteria based on CT and MRI. Acta Neurochir Suppl. 1996; 65:66-9. DOI: 10.1007/978-3-7091-9450-8_19. View

5.
Principi M, Italiani M, Guiducci A, Aprile I, Muti M, Giulianelli G . Perfusion MRI in the evaluation of the relationship between tumour growth, necrosis and angiogenesis in glioblastomas and grade 1 meningiomas. Neuroradiology. 2003; 45(4):205-11. DOI: 10.1007/s00234-002-0937-1. View