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Is It Possible to Differentiate the Impact of Pediatric Monophasic Demyelinating Disorders and Multiple Sclerosis After a First Episode of Demyelination?

  • Bérengère Aubert-BrocheEmail author
  • Vladimir Fonov
  • Katrin Weier
  • Sridar Narayanan
  • Douglas L. Arnold
  • Brenda Banwell
  • D. Louis Collins
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8682)

Abstract

A first episode of acute demyelination of the central nervous system may be a monophasic transient illness or represent the first attack of multiple sclerosis (MS). This study investigates if it is possible to distinguish these two groups of patients retrospectively at the time of the first episode, in a pediatric population. For each patient, the method consists in fitting an individual brain growth curve using multiple follow-up time-points, and using this curve to predict 4 metrics at the first attack: brain volume, brain growth rate, thalamus volume normalized by the brain volume (called normalized thalamus) and normalized thalamus growth rate. These metrics were compared to age-and-sex matched healthy controls by computing z-scores.

In this study, 85 patients were scanned up to 8 years after the first attack. During this follow-up period, 23 patients were subsequently diagnosed with MS (MS group). Among the 62 patients with a transient illness, 9 suffered from monophasic acute disseminated encephalomyelitis (ADEM group). The 53 remaining formed the non-ADEM monophasic (MONO) group.

The normalized thalamus growth rate was the only metric that distinguished patient groups: the z-scores were significantly smaller for MS than for the MONO group (p<0.01). Whereas 93% of monophasic subjects were correctly classified with a linear discriminant analysis, only 13% of the MS subjects were correctly classified, due to a large inter-individual variability in this group.

Keywords

Multiple Sclerosis Linear Discriminant Analysis Brain Volume Optic Neuritis Brain Growth 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Bérengère Aubert-Broche
    • 1
    Email author
  • Vladimir Fonov
    • 1
  • Katrin Weier
    • 1
  • Sridar Narayanan
    • 1
  • Douglas L. Arnold
    • 1
  • Brenda Banwell
    • 2
    • 3
  • D. Louis Collins
    • 1
  1. 1.McConnell Brain Imaging Center, Montreal Neurological InstituteMcGill UniversityMontrealCanada
  2. 2.The Hospital for Sick ChildrenUniversity of TorontoTorontoCanada
  3. 3.Children’s Hospital of PhiladelphiaUniversity of PennsylvaniaPhiladelphiaUSA

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