MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice
Sastre-Garriga, Jaume (Centre d'Esclerosi Mútiple de Catalunya (Cemcat))
Pareto, Deborah (Hospital Universitari Vall d'Hebron)
Battaglini, Marco (University of Siena. Department of Medicine, Surgery and Neuroscience)
Rocca, Maria A. (IRCCS San Raffaele Scientific Institute (Milà, Itàlia). Institute of Experimental Neurology)
Ciccarelli, Olga (University College London Hospitals. National Institute for Health Research Biomedical Research Centre)
Enzinger, Christian (Medical University of Graz. Department of Neurology and Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology)
Wuerfel, Jens (University of Basel. Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering)
Sormani, Maria P. (IRCCS, Ospedale Policlinico San Martino, Genoa)
Barkhof, Frederik (University College London. Institutes of Neurology and Healthcare Engineering)
Yousry, Tarek A. (University College London Hospitals National Hospital for Neurology and Neurosurgery, University College London Institute of Neurology. Lysholm Department of Neuroradiology)
De Stefano, Nicola (University of Siena. Department of Medicine, Surgery and Neuroscience)
Tintoré, Mar (Centre d'Esclerosi Mútiple de Catalunya (Cemcat))
Filippi, Massimo (Vita-Salute San Raffaele University)
Gasperini, Claudio (San Camillo Forlanini Hospital)
Kappos, Ludwig (University Hospital Basel (Basilea, Suïssa))
Río, Jordi (Universitat Autònoma de Barcelona)
Frederiksen, Jette (University of Copenhagen)
Palace, Jackie (University of Oxford. Nuffield Department of Clinical Neurosciences)
Vrenken, Hugo (Amsterdam Neuroscience, MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC)
Montalban, Xavier (University of Toronto. Division of Neurology, St Michael's Hospital)
Rovira, Alex (Hospital Universitari Vall d'Hebron)
Universitat Autònoma de Barcelona
Hospital Universitari Vall d'Hebron
Centre d'Esclerosi Mútiple de Catalunya (Cemcat)

Date:	2020
Abstract:	Early evaluation of treatment response and prediction of disease evolution are key issues in the management of people with multiple sclerosis (MS). In the past 20 years, MRI has become the most useful paraclinical tool in both situations and is used clinically to assess the inflammatory component of the disease, particularly the presence and evolution of focal lesions - the pathological hallmark of MS. However, diffuse neurodegenerative processes that are at least partly independent of inflammatory mechanisms can develop early in people with MS and are closely related to disability. The effects of these neurodegenerative processes at a macroscopic level can be quantified by estimation of brain and spinal cord atrophy with MRI. MRI measurements of atrophy in MS have also been proposed as a complementary approach to lesion assessment to facilitate the prediction of clinical outcomes and to assess treatment responses. In this Consensus statement, the Magnetic Resonance Imaging in MS (MAGNIMS) study group critically review the application of brain and spinal cord atrophy in clinical practice in the management of MS, considering the role of atrophy measures in prognosis and treatment monitoring and the barriers to clinical use of these measures. On the basis of this review, the group makes consensus statements and recommendations for future research. In this Consensus statement, the Magnetic Resonance Imaging in MS (MAGNIMS) study group reviews the application of brain and spinal cord atrophy in clinical practice in the management of MS and makes consensus statements and recommendations for future research.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Multiple sclerosis ; Brain imaging ; Biomarkers
Published in:	Nature Reviews. Neurology, Vol. 16 (february 2020) , p. 171-182, ISSN 1759-4766

DOI: 10.1038/s41582-020-0314-x
PMID: 32094485

12 p, 1.5 MB

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