UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Advanced central nervous system imaging biomarkers in radiologically isolated syndrome: a mini review

Collorone, Sara; Foster, Michael AA; Toosy, Ahmed TT; (2023) Advanced central nervous system imaging biomarkers in radiologically isolated syndrome: a mini review. Frontiers in Neurology , 14 , Article 1172807. 10.3389/fneur.2023.1172807. Green open access

[thumbnail of Advanced central nervous system imaging biomarkers in radiologically isolated syndrome a mini review.pdf]
Preview
Text
Advanced central nervous system imaging biomarkers in radiologically isolated syndrome a mini review.pdf - Published Version

Download (574kB) | Preview

Abstract

Radiologically isolated syndrome is characterised by central nervous system white-matter hyperintensities highly suggestive of multiple sclerosis in individuals without a neurological history of clinical demyelinating episodes. It probably represents the pre-symptomatic phase of clinical multiple sclerosis but is poorly understood. This mini review summarises our current knowledge regarding advanced imaging techniques in radiologically isolated syndrome that provide insights into its pathobiology and prognosis. The imaging covered will include magnetic resonance imaging-derived markers of central nervous system volumetrics, connectivity, and the central vein sign, alongside optical coherence tomography-related metrics.

Type: Article
Title: Advanced central nervous system imaging biomarkers in radiologically isolated syndrome: a mini review
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fneur.2023.1172807
Publisher version: https://doi.org/10.3389/fneur.2023.1172807
Language: English
Additional information: Copyright © 2023 Collorone, Foster and Toosy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences, Neurosciences & Neurology, multiple sclerosis, magnetic resonance imaging, optical coherence tomography, connectivity, neurodegeneration, radiologically isolated syndrome, OPTICAL COHERENCE TOMOGRAPHY, CENTRAL VEIN SIGN, MULTIPLE-SCLEROSIS, BRAIN ATROPHY, WHITE-MATTER, DEGENERATION, CONVERSION, ONSET, MRI
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/10171930
Downloads since deposit
22Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item