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Predicting short-term disability progression in early MS: added value of MRI parameters
  1. Arjan Minneboo (a.minneboo{at}vumc.nl)
  1. VU University Medical Center, Netherlands
    1. Bas Jasperse (mms.jasperse{at}vumc.nl)
    1. VU University Medical Center, Netherlands
      1. Frederik Barkhof (f.barkhof{at}vumc.nl)
      1. VU University Medical Center, Netherlands
        1. Bernard MJ Uitdehaag (bmj.uitdehaag{at}vumc.nl)
        1. VU University Medical Center, Netherlands
          1. Dirk L Knol (d.knol{at}vumc.nl)
          1. VU University Medical Center, Netherlands
            1. Vincent de Groot (v.degroot{at}vumc.nl)
            1. VU University Medical Center, Netherlands
              1. Chris H Polman (ch.polman{at}vumc.nl)
              1. VU University Medical Center, Netherlands
                1. Jonas A Castelijns (j.castelijns{at}vumc.nl)
                1. VU University Medical Center, Netherlands

                  Abstract

                  Objective: Magnetic resonance imaging (MRI) and clinical parameters are associated with disease progression in Multiple Sclerosis (MS). The aim of this study was to investigate whether adding MRI parameters to a model with only clinical parameters could improve these associations.

                  Methods: 89 patients (55 women) with recently diagnosed MS had clinical and MRI evaluation at baseline (time of diagnosis) and at follow-up after 2.2 years. Detailed clinical data were available including disease type (relapse-onset or progressive-onset) and disability as measured by the expanded disability status scale (EDSS). MRI parameters included Normalised Brain Volume (NBV) at baseline, percentage brain volume change (PBVC/year), T2- and T1-lesion loads and spinal cord abnormalities. Progression of disability (increase in EDSS of at least 1 point at follow-up) was the main outcome measure. For a model containing only clinical parameters, the added value of MRI parameters was tested using logistic regression.

                  Results: PBVC/year and lesion loads at follow-up were significantly higher in the group with progression. Adding PBVC/year to a clinical model improved the model, indicating that MRI parameters added independent information (p<.001). Conclusion: rate of cerebral atrophy conveys added information for progression of disability in early MS patient, suggesting that clinical disability is determined by neurodegenerative changes as depicted by MRI.

                  • Brain Atrophy
                  • Longitudinal
                  • Magnetic Resonance Imaging
                  • Multiple Sclerosis

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