{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T08:09:17Z","timestamp":1793261357116,"version":"4.5.0"},"reference-count":36,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2018,2,15]],"date-time":"2018-02-15T00:00:00Z","timestamp":1518652800000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008659","name":"ECTRIMS","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000890","name":"National Multiple Sclerosis Society","doi-asserted-by":"publisher","award":["#FG 2093\u2010A\u20101"],"award-info":[{"award-number":["#FG 2093\u2010A\u20101"]}],"id":[{"id":"10.13039\/100000890","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000910","name":"Conrad N. Hilton Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000910","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Annals of Neurology"],"published-print":{"date-parts":[[2018,2]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>In multiple sclerosis (MS), magnetic resonance imaging (MRI) is a sensitive tool for detecting white matter lesions, but its diagnostic specificity is still suboptimal; ambiguous cases are frequent in clinical practice. Detection of perivenular lesions in the brain (the \u201ccentral vein sign\u201d) improves the pathological specificity of MS diagnosis, but comprehensive evaluation of this MRI biomarker in MS\u2010mimicking inflammatory and\/or autoimmune diseases, such as central nervous system (CNS) inflammatory vasculopathies, is lacking. In a multicenter study, we assessed the frequency of perivenular lesions in MS versus systemic autoimmune diseases with CNS involvement and primary angiitis of the CNS (PACNS).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In 31 patients with inflammatory CNS vasculopathies and 52 with relapsing\u2013remitting MS, 3\u2010dimensional T2*\u2010weighted and T2\u2013fluid\u2010attenuated inversion recovery images were obtained during a single MRI acquisition after gadolinium injection. For each lesion, the central vein sign was evaluated according to consensus guidelines. For each patient, lesion count, volume, and brain location, as well as fulfillment of dissemination in space MRI criteria, were assessed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>MS showed higher frequency of perivenular lesions (median\u2009=\u200988%) than did inflammatory CNS vasculopathies (14%), without overlap between groups or differences between 3T and 1.5T MRI. Among inflammatory vasculopathies, Beh\u00e7et disease showed the highest median frequency of perivenular lesions (34%), followed by PACNS (14%), antiphospholipid syndromes (12%), Sj\u00f6gren syndrome (11%), and systemic lupus erythematosus (0%). When a threshold of 50% perivenular lesions was applied, central vein sign discriminated MS from inflammatory vasculopathies with a diagnostic accuracy of 100%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Interpretation<\/jats:title><jats:p>The central vein sign differentiates inflammatory CNS vasculopathies from MS at standard clinical magnetic field strengths. Ann Neurol 2018;83:283\u2013294<\/jats:p><\/jats:sec>","DOI":"10.1002\/ana.25146","type":"journal-article","created":{"date-parts":[[2018,1,12]],"date-time":"2018-01-12T15:57:43Z","timestamp":1515772663000},"page":"283-294","source":"Crossref","is-referenced-by-count":231,"title":["Central vein sign differentiates Multiple Sclerosis from central nervous system inflammatory vasculopathies"],"prefix":"10.1002","volume":"83","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1697-5585","authenticated-orcid":false,"given":"Pietro","family":"Maggi","sequence":"first","affiliation":[{"name":"Department of Neurology Universit\u00e9 Libre de Bruxelles Brussels Belgium"},{"name":"Department of Neurology Brugmann University Hospital, Universit\u00e9 Libre de Bruxelles Brussels Belgium"},{"name":"Department of Neurology Lausanne University Hospital Lausanne 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