title: Brain atrophy in relapsing-remitting multiple sclerosis: fractional volumetric analysis of gray matter and white matter.
abstract: OBJECTIVE
  To determine the fractional brain tissue volume changes in the gray matter and white matter of patients with relapsing-remitting multiple sclerosis (MS) and to correlate these measurements with clinical disability and total lesion load.
  
  
  METHODS
  Thirty patients with relapsing-remitting MS and 25 healthy control subjects underwent magnetic resonance imaging. Fractional brain tissue volumes (tissue volume relative to total intracranial volume) were obtained from the total segmented gray matter and white matter in each group and were analyzed.
  
  
  RESULTS
  The fractional volume of white matter versus that of gray matter was significantly lower (-6.4%) in patients with MS (P <.0001) than in control subjects. Neither gray matter nor white matter fractional volume measurements correlated with clinical disability in the patients with MS.
  
  
  CONCLUSIONS
  Loss of brain parenchymal volume in patients with relapsing-remitting MS is predominantly confined to white matter. Analysis of fractional brain tissue volumes provides additional information useful in characterizing MS and may have potential in evaluating treatment strategies.
authors.affiliation: Department of Radiology, University of Pennsylvania Medical Center, Founders Bldg, Ground Floor, 3400 Spruce St, Philadelphia, PA 19104-4283, USA.
authors.forename: Y
authors.initials: Y
authors.lastname: Ge
authors.forename: R I
authors.initials: RI
authors.lastname: Grossman
authors.forename: J K
authors.initials: JK
authors.lastname: Udupa
authors.forename: J S
authors.initials: JS
authors.lastname: Babb
authors.forename: L G
authors.initials: LG
authors.lastname: Nyúl
authors.forename: D L
authors.initials: DL
authors.lastname: Kolson
mesh_terms: D000328:Adult; D001284:Atrophy; D001921:Brain / Q000473:pathology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009103:Multiple Sclerosis / Q000473:pathology*