ArticleThe neuroradiology journal2021
MRI predictors for brain invasion in meningiomas.
Article in The neuroradiology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- Preoperative prediction of brain invasion in meningiomas: a comparison of diffusion kurtosis imaging and diffusion tensor imaging.BMC neurology · 2025Article
- New imaging findings of tumor invasion into brain tissue: "Peritumoral Hyperintense Enhancement Sign".Frontiers in human neuroscience · 2025Article
- Emergency Surgical Management of Meningiomas: Factors Affecting Early Outcomes and Complications.Asian journal of neurosurgery · 2024Article
- Multiparameter MRI-based radiomics nomogram for preoperative prediction of brain invasion in atypical meningioma:a multicentre study.BMC medical imaging · 2024Article
- MRI- and DWI-Based Radiomics Features for Preoperatively Predicting Meningioma Sinus Invasion.Journal of imaging informatics in medicine · 2024Article
- Shape and texture analyses based on conventional MRI for the preoperative prediction of the aggressiveness of pituitary adenomas.European radiology · 2023Article
- Meningiomas with CNS invasion.Frontiers in neuroscience · 2023Review
- Type IV collagen-derived angiogenesis inhibitor: canstatin low expressing in brain-invasive meningiomas using liquid chromatography-mass spectrometry (LC-MS/MS).Journal of neuro-oncology · 2023Article
- Benefits of Combined MRI Sequences in Meningioma Consistency Prediction: A Prospective Study of 287 Consecutive Patients.Asian journal of neurosurgery · 2022Article
- Nomogram based on MRI can preoperatively predict brain invasion in meningioma.Neurosurgical review · 2022Article
- Updated Systematic Review on the Role of Brain Invasion in Intracranial Meningiomas: What, When, Why?Cancers · 2022Review
- Review
- A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features.Frontiers in oncology · 2021Article
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeIn the 2016 revision of the World Health Organization classification of central nervous system tumours, brain invasion was added as an independent histological criterion for the diagnosis of a World Health Organization grade II atypical meningioma. The aim of this study was to assess whether magnetic resonance imaging characteristics can predict brain invasion for meningiomas. MATERIALS AND
methodsWe conducted a retrospective review of all meningiomas resected at our institution between 2005 and 2016 which had preoperative magnetic resonance imaging and included brain tissue within the pathology specimen. One hundred meningiomas were included in the study, 60 of which had histopathological brain invasion, 40 of which did not. Magnetic resonance imaging characteristics of tumours were evaluated for potential predictors of brain invasion. Tumour location, size, perilesional oedema, contour, cerebrospinal fluid cleft, peritumoral cyst, dural venous sinus invasion, bone invasion, hyperostosis and the presence of enlarged pial arteries and veins were evaluated. Data were analysed using conventional chi-square, Fisher's exact test and logistic regression.
resultsThe volume of peritumoral oedema was significantly higher in the brain-invasive meningioma group compared to the non-brain-invasive group. The presence of a complete cleft was a rare finding that was only found in non-brain-invasive meningiomas. The presence of enlarged pial feeding arteries was a rare finding that was only found in brain-invasive meningiomas.
conclusionsAn increased volume of perilesional oedema is associated with the likelihood of brain invasion for meningiomas.
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