MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis—clinical implementation in the diagnostic process
Year: 2015
Type: review
Abstract: The use of MRI in patients with multiple sclerosis (MS) is commonplace in clinical settings. However, the precise implementation of MRI in the diagnosis of MS is highly variable, which is problematic in the context of the substantial technical advances of the past decade. In these Evidence-based Guidelines, members of the MAGNIMS study group present a standardized approach to the use of MRI in the diagnosis of MS. The clinical use of MRI in patients with multiple sclerosis (MS) has advanced markedly over the past few years. Technical improvements and continuously emerging data from clinical trials and observational studies have contributed to the enhanced performance of this tool for achieving a prompt diagnosis in patients with MS. The aim of this article is to provide guidelines for the implementation of MRI of the brain and spinal cord in the diagnosis of patients who are suspected of having MS. These guidelines are based on an extensive review of the recent literature, as well as on the personal experience of the members of the MAGNIMS (Magnetic Resonance Imaging in MS) network. We address the indications, timing, coverage, reporting and interpretation of MRI studies in patients with suspected MS. Our recommendations are intended to help radiologists and neurologists standardize and optimize the use of MRI in clinical practice for the diagnosis of MS.
Source: Nature Reviews Neurology
Authors: on behalf of the MAGNIMS study group, Àlex Rovira, Mike P. Wattjes, Mar Tintoré, Carmen Tur, Tarek A. Yousry, Maria P. Sormani, Nicola De Stefano, Massimo Filippi, Cristina Auger, Maria A. Rocca, Frederik Barkhof, Franz Fazekas, Ludwig Kappos, Chris Polman, David Miller, Xavier Montalban
Institutions: Universitat Autònoma de Barcelona, Vall d'Hebron Hospital Universitari, Centre d'Esclerosi Múltiple de Catalunya, Amsterdam UMC Location Vrije Universiteit Amsterdam, University College London Hospitals NHS Foundation Trust, National Hospital for Neurology and Neurosurgery, UCL Queen Square Institute of Neurology, University College London, University of Genoa, University of Siena, Vita-Salute San Raffaele University, Medical University of Graz, University of Basel
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W1943838624
