The current role of MRI in differentiating multiple sclerosis from its imaging mimics.
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Geraldes R
Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK.
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Ciccarelli O
University College London, London, UK.
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Barkhof F
University College London, London, UK.
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De Stefano N
Neurology and Neurometabolic Unit, Department of Neurological and Behavioural Sciences, University of Siena, Siena, Italy.
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Enzinger C
Department of Neurology, Medical University of Graz, Graz, Austria.
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Filippi M
Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
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Hofer M
Neuropathology Department, John Radcliffe Hospital, Oxford, UK.
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Paul F
NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Berlin, Germany.
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Preziosa P
Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
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Rovira A
Magnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.
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DeLuca GC
Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK.
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Kappos L
Department of Neurology, University Hospital Basel, Basel, Switzerland.
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Yousry T
Institute of Neurology, Queen Square, London, UK.
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Fazekas F
Department of Neurology, Medical University of Graz, Graz, Austria.
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Frederiksen J
Department of Neurology, Rigshospitalet Glostrup and University of Copenhagen, Copenhagen, Denmark.
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Gasperini C
Multiple Sclerosis Centre, Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy.
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Sastre-Garriga J
Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.
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Evangelou N
Division of Neurosciences, School of Medicine, University of Nottingham, Queen's Medical Centre Campus, Nottingham, UK.
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Palace J
Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK.
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Published in:
- Nature reviews. Neurology. - 2018
English
MRI red flags proposed over a decade ago by the European Magnetic Resonance Network in MS (MAGNIMS) have guided clinicians in the diagnosis of multiple sclerosis (MS). However, the past 10 years have seen increased recognition that vascular disease can coexist and possibly interact with MS, improvements in the reliability of ways to differentiate MS from novel antibody-mediated CNS disorders (such as anti-aquaporin-4 antibody and myelin-oligodendrocyte glycoprotein antibody-associated diseases) and advances in MRI techniques. In this Review, MAGNIMS updates the imaging features that differentiate the most common mimics of MS, particularly age-related cerebrovascular disease and neuromyelitis optica, from MS itself. We also provide a pragmatic summary of the clinically useful MRI features that distinguish MS from its mimics and discuss the future of nonconventional techniques that have identified promising disease-specific features.
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green
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https://sonar.ch/global/documents/232262
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