ArticleNeuroradiology2006
Meningiomas with conventional MRI findings resembling intraaxial tumors: can perfusion-weighted MRI be helpful in differentiation?
Article in Neuroradiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Prognostic Value of Conventional Magnetic Resonance Imaging for Adult Patients with Brain Tumors.Clinical neuroradiology · 2015Trial
- Percentage of signal recovery (PSR): a more accurate marker than rCBV for differentiating radiation necrosis from tumor progression in brain metastases treated with stereotactic radiosurgery.Journal of neuro-oncology · 2025Article
- Malignant Meningiomas: From Diagnostics to Treatment.Diagnostics (Basel, Switzerland) · 2025Review
- Clustering Functional Magnetic Resonance Imaging Time Series in Glioblastoma Characterization: A Review of the Evolution, Applications, and Potentials.Brain sciences · 2024Review
- Arterial spin labeled perfusion MRI for the assessment of radiation-treated meningiomas.Frontiers in radiology · 2024Article
- Atypical radiological aspect of meningioma: Web-like enhancement.Radiology case reports · 2023Article
- Evaluation of the Value of Perfusion-Weighted Magnetic Resonance Imaging in the Differential Diagnosis of Sellar and Parasellar Tumors.Journal of clinical medicine · 2023Article
- 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.Frontiers in veterinary science · 2023Article
- Utility of 3T single-voxel proton MR spectroscopy for differentiating intracranial meningiomas from intracranial enhanced mass lesions.Acta radiologica open · 2021Article
- Comparison of MR-PWI quantitative and semi-quantitative parameters for the evaluation of liver fibrosis.BMC medical imaging · 2021Article
- Theragnostic Use of Radiolabelled Dota-Peptides in Meningioma: From Clinical Demand to Future Applications.Cancers · 2019Review
- Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme.Neuroradiology · 2019Article
- Characteristic features and proposed classification in 69 cases of intracranial microcystic meningiomas.Neurosurgical review · 2019Article
- Imaging and diagnostic advances for intracranial meningiomas.Neuro-oncology · 2019Review
- Usefulness of enhancement-perfusion mismatch in differentiation of CNS lymphomas from other enhancing malignant tumors of the brain.Quantitative imaging in medicine and surgery · 2017Article
- Advanced Imaging of Intracranial Meningiomas.Neurosurgery clinics of North America · 2016Review
- Benign neck masses showing restricted diffusion: Is there a histological basis for discordant behavior?World journal of radiology · 2016Review
- Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images.Biomarkers in cancer · 2016Review
- Fast spectroscopic multiple analysis (FASMA) for brain tumor classification: a clinical decision support system utilizing multi-parametric 3T MR data.International journal of computer assisted radiology and surgery · 2015Article
- The role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectives.Cancer imaging : the official publication of the International Cancer Imaging Society · 2014Review
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Authors and funding
6 authors.
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Abstract
introductionTo investigate the contribution of perfusion-weighted MRI to the differentiation of meningiomas with atypical conventional MRI findings from intraaxial tumors.
methodsWe 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.
resultsOn 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.
conclusionDifferentiating 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.
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