Application of deep-learning to the seronegative side of the NMO spectrum.

Journal: Journal of neurology
PMID: 34328544

Abstract

OBJECTIVES: To apply a deep-learning algorithm to brain MRIs of seronegative patients with neuromyelitis optica spectrum disorders (NMOSD) and NMOSD-like manifestations and assess whether their structural features are similar to aquaporin-4-seropositive NMOSD or multiple sclerosis (MS) patients.

Authors

  • Laura Cacciaguerra
  • Loredana Storelli
    From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience.
  • Marta Radaelli
    Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Sarlota Mesaros
    Clinic of Neurology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Lucia Moiola
    Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Jelena Drulovic
    Clinic of Neurology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  • Massimo Filippi
    Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy.
  • Maria A Rocca
    Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.

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