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Neuropathologically informed imaging of cortical grey matter lesions in MS – A pilot study

Quigley, S; Yiannakas, MC; Bede, P; Meaney, J; Kearney, H; (2023) Neuropathologically informed imaging of cortical grey matter lesions in MS – A pilot study. Multiple Sclerosis and Related Disorders , 71 , Article 104555. 10.1016/j.msard.2023.104555. Green open access

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Abstract

Multiple sclerosis (MS) is frequently misdiagnosed based on MRI abnormalities detected in the brain white matter. Cortical lesions have been well described neuropathologically, but remain challenging to detect in clinical practice. Therefore, the ability to detect cortical lesions offers real potential to reduce misdiagnosis. Cortical lesions have been shown to have a predilection for regions with CSF stasis - such as the insula and cingulate gyrus. This pathological observation forms the basis of our current pilot MR imaging study, which successfully uses high spatial resolution imaging of these two anatomical regions to clearly identify cortical lesions in MS.

Type: Article
Title: Neuropathologically informed imaging of cortical grey matter lesions in MS – A pilot study
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.msard.2023.104555
Publisher version: https://doi.org/10.1016/j.msard.2023.104555
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Cortical lesions, MRI, Multiple sclerosis, Neuropathology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
URI: https://discovery.ucl.ac.uk/id/eprint/10169384
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