Evidence map›Paper›PMID 33837805›Full record

ArticleNeuroradiology2022

Utility of multiparametric pre-operative magnetic resonance imaging in differentiation of chordoid meningioma from the other histopathological subtypes of meningioma-a retrospective study.

Sameer Peer, Jitender Saini, Chandrajit Prasad, Karthik Kulanthaivelu, Nishanth Sadashiva, Bevinahalli N Nandeesh, Alok Mohan Uppar, Shilpa Rao

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Article in Neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors at 1 institution in 1 country.

Sameer PeerDepartment of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, 560029, India.
Jitender SainiDepartment of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, 560029, India. jsaini76@gmail.com.ORCID http://orcid.org/0000-0002-5218-0264
Chandrajit PrasadDepartment of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, 560029, India.
Karthik KulanthaiveluDepartment of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, 560029, India.
Nishanth SadashivaDepartment of Neurosurgery, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, 560029, India.
Bevinahalli N NandeeshDepartment of Neuropathology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, 560029, India.
Alok Mohan UpparDepartment of Neurosurgery, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, 560029, India.
Shilpa RaoDepartment of Neuropathology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, 560029, India.
National Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the magnetic resonance imaging (MRI) features which could pre-operatively differentiate chordoid meningioma (CM) from other histopathological subtypes of meningioma.

methodsRetrospective analysis of pre-operative MRI of cases with histopathologically confirmed diagnosis of meningioma during the last 5 years at our institute was done. T1W, T2W, FLAIR sequences, and post-contrast enhancement were evaluated on a qualitative scale. Normalized ADC ratios (nADCR) and normalized fractional anisotropy ratios (nFAR) were derived. The intratumoral susceptibility score (ITSS), presence of sunburst pattern of vasculature, bone changes, tumour-parenchyma interface, and oedema-to-tumour ratio were also determined.

resultsA total of 81 lesions were analyzed out of which 15 were CM. CM showed a higher relative contrast enhancement as compared to all other subtypes except for angiomatous and microcystic meningioma. Relative signal intensity on FLAIR could differentiate CM from transitional meningioma. nFAR was found to be significantly higher in fibroblastic meningioma and significantly lower in microcystic meningiomas as compared to CM. Anaplastic meningiomas were remarkable for bone changes and an ill-defined tumour-brain interface in significantly higher proportion of cases as compared to CM. nADCR > 1.5 was found to be an independent predictor of CM with a sensitivity of 84.6%, specificity of 89.8%, positive predictive value of 64.7%, and negative predictive value of 96.4%.

conclusionRoutine pre-operative MRI may be able to differentiate CM from other meningioma subtypes and a cut-off value of greater than 1.5 for nADCR could be predictive of > 50% chordoid histology of meningioma with a high sensitivity, specificity, and negative predictive value.

Indexed as

Meningeal NeoplasmsMeningiomaDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingRetrospective StudiesApparent diffusion coefficientChordoidFluid attenuated inversion recoveryMeningiomaNormalization

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PMID33837805
OpenAlexW3150490583

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.