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Defining the course of tumefactive multiple sclerosis: A large retrospective multicentre study.

Maria Di GregorioValentina Liliana Adriana Torri ClericiGiuseppe FenuLorenzo GaetaniAntonio GalloPaola CavallaPaolo RagonesePietro AnnovazziAlberto GajofattoLuca ProsperiniFrancesca BovisCarolina Ferreira NicolettiCaterina Di CarmineRocco TotaroViviana NocitiChiara De FinoDiana FerraroValentina TomassiniCarla TortorellaIsabella RighiniMaria Pia AmatoAlessia ManniDamiano PaolicelliPietro IaffaldanoRoberta LanzilloMarcello MocciaFabio ButtariRoberta FantozziRaffaella CerquaSara ZagagliaDeborah FarinaGiovanna De LucaMaria Chiara BuscarinuFederica PinardiEleonora CoccoClaudio GasperiniClaudio Marcello SolaroMassimiliano Di Filippo
Published in: European journal of neurology (2021)
The management of TuMS might be challenging because of its peculiar characteristics. Large prospective studies could help to define the clinical characteristics and the best treatment algorithms for people with TuMS.
Keyphrases
  • multiple sclerosis
  • machine learning
  • deep learning
  • white matter
  • replacement therapy
  • smoking cessation