Ruth Geraldes, Georgina Arrambide, Brenda Banwell, Àlex Rovira, Rosa Cortese, Hans Lassmann, Silvia Messina, Mara Assunta Rocca, Patrick Waters, Declan Chard, Claudio Gasperini, Yael Hacohen, Romina Mariano, Friedemann Paul, Gabriele C. DeLuca, Christian Enzinger, Ludwig Kappos, M. Isabel Leite, Jaume Sastre-Garriga, Tarek Yousry, Olga Ciccarelli, Massimo Filippi, Frederik Barkhof, Jacqueline Palace, MAGNIMS Study Group
{"title":"The influence of MOGAD on diagnosis of multiple sclerosis using MRI","authors":"Ruth Geraldes, Georgina Arrambide, Brenda Banwell, Àlex Rovira, Rosa Cortese, Hans Lassmann, Silvia Messina, Mara Assunta Rocca, Patrick Waters, Declan Chard, Claudio Gasperini, Yael Hacohen, Romina Mariano, Friedemann Paul, Gabriele C. DeLuca, Christian Enzinger, Ludwig Kappos, M. Isabel Leite, Jaume Sastre-Garriga, Tarek Yousry, Olga Ciccarelli, Massimo Filippi, Frederik Barkhof, Jacqueline Palace, MAGNIMS Study Group","doi":"10.1038/s41582-024-01005-2","DOIUrl":null,"url":null,"abstract":"Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) is an immune-mediated demyelinating disease that is challenging to differentiate from multiple sclerosis (MS), as the clinical phenotypes overlap, and people with MOGAD can fulfil the current MRI-based diagnostic criteria for MS. In addition, the MOG antibody assays that are an essential component of MOGAD diagnosis are not standardized. Accurate diagnosis of MOGAD is crucial because the treatments and long-term prognosis differ from those for MS. This Expert Recommendation summarizes the outcomes from a Magnetic Resonance Imaging in MS workshop held in Oxford, UK in May 2022, in which MS and MOGAD experts reflected on the pathology and clinical features of these disorders, the contributions of MRI to their diagnosis and the clinical use of the MOG antibody assay. We also critically reviewed the literature to assess the validity of distinctive imaging features in the current MS and MOGAD criteria. We conclude that dedicated orbital and spinal cord imaging (with axial slices) can inform MOGAD diagnosis and also illuminate differential diagnoses. We provide practical guidance to neurologists and neuroradiologists on how to navigate the current MOGAD and MS criteria. We suggest a strategy that includes useful imaging discriminators on standard clinical MRI and discuss imaging features detected by non-conventional MRI sequences that demonstrate promise in differentiating these two disorders. Myelin oligodendrocyte glycoprotein antibody-associated disease is an immune-mediated demyelinating disease that is distinct from multiple sclerosis but shares some of its characteristics. This Expert Recommendation, based on a Magnetic Resonance Imaging in MS workshop, proposes a diagnostic algorithm for the differential diagnosis of myelin oligodendrocyte glycoprotein antibody-associated disease and multiple sclerosis, using serological, imaging and clinical features.","PeriodicalId":19085,"journal":{"name":"Nature Reviews Neurology","volume":"20 10","pages":"620-635"},"PeriodicalIF":28.2000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Neurology","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41582-024-01005-2","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) is an immune-mediated demyelinating disease that is challenging to differentiate from multiple sclerosis (MS), as the clinical phenotypes overlap, and people with MOGAD can fulfil the current MRI-based diagnostic criteria for MS. In addition, the MOG antibody assays that are an essential component of MOGAD diagnosis are not standardized. Accurate diagnosis of MOGAD is crucial because the treatments and long-term prognosis differ from those for MS. This Expert Recommendation summarizes the outcomes from a Magnetic Resonance Imaging in MS workshop held in Oxford, UK in May 2022, in which MS and MOGAD experts reflected on the pathology and clinical features of these disorders, the contributions of MRI to their diagnosis and the clinical use of the MOG antibody assay. We also critically reviewed the literature to assess the validity of distinctive imaging features in the current MS and MOGAD criteria. We conclude that dedicated orbital and spinal cord imaging (with axial slices) can inform MOGAD diagnosis and also illuminate differential diagnoses. We provide practical guidance to neurologists and neuroradiologists on how to navigate the current MOGAD and MS criteria. We suggest a strategy that includes useful imaging discriminators on standard clinical MRI and discuss imaging features detected by non-conventional MRI sequences that demonstrate promise in differentiating these two disorders. Myelin oligodendrocyte glycoprotein antibody-associated disease is an immune-mediated demyelinating disease that is distinct from multiple sclerosis but shares some of its characteristics. This Expert Recommendation, based on a Magnetic Resonance Imaging in MS workshop, proposes a diagnostic algorithm for the differential diagnosis of myelin oligodendrocyte glycoprotein antibody-associated disease and multiple sclerosis, using serological, imaging and clinical features.
期刊介绍:
Nature Reviews Neurology aims to be the premier source of reviews and commentaries for the scientific and clinical communities we serve. We want to provide an unparalleled service to authors, referees, and readers, and we work hard to maximize the usefulness and impact of each article. The journal publishes Research Highlights, Comments, News & Views, Reviews, Consensus Statements, and Perspectives relevant to researchers and clinicians working in the field of neurology. Our broad scope ensures that the work we publish reaches the widest possible audience. Our articles are authoritative, accessible, and enhanced with clearly understandable figures, tables, and other display items. This page gives more detail about the aims and scope of the journal.