MRI predictors for brain invasion in meningiomas

Author:

Ong Thomas123,Bharatha Aditya124ORCID,Alsufayan Reema125ORCID,Das Sunit4,Lin Amy Wei12ORCID

Affiliation:

1. Division of Neuroradiology, St Michael’s Hospital, Toronto, Canada

2. Department of Medical Imaging, University of Toronto, Canada

3. Department of Radiology, Jewish General Hospital, Montreal, Canada

4. Division of Neurosurgery, St Michael’s Hospital, Toronto, Canada

5. Johns Hopkins Aramco Healthcare, Saudi Arabia

Abstract

Background and purpose In 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 methods We 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. Results The 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. Conclusions An increased volume of perilesional oedema is associated with the likelihood of brain invasion for meningiomas.

Publisher

SAGE Publications

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging,General Medicine

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1. Statistical analyses of motion-corrupted MRI relaxometry data computed from multiple scans;Journal of Neuroscience Methods;2023-10

2. Detection and Localization of Glioma and Meningioma Tumors in Brain MR Images using Deep Learning;Sakarya University Journal of Science;2023-06-30

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