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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
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Long-term disability progression in primary progressive multiple sclerosis: a 15-year study.

Maria A Rocca1,2, Maria Pia Sormani3, Marco Rovaris4

  • 1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.

Brain : a Journal of Neurology
|October 21, 2017
PubMed
Summary

Predicting long-term primary progressive multiple sclerosis (PPMS) worsening requires better markers. Integrating MRI scans with clinical data at 15 months improves prediction of disability progression compared to clinical assessment alone.

Keywords:
disabilitylong-termmagnetic resonance imagingprimary progressive multiple sclerosis

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Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Prognostic markers for primary progressive multiple sclerosis (PPMS) evolution are crucial for patient management.
  • Current clinical assessments may not fully capture the long-term disease trajectory.

Purpose of the Study:

  • To evaluate the added value of magnetic resonance imaging (MRI) measures of brain and cervical cord damage in predicting long-term clinical worsening in PPMS.
  • To compare the predictive power of combined clinical and imaging data versus clinical assessment alone.

Main Methods:

  • Conventional and diffusion tensor MRI scans of the brain and cervical cord were acquired at baseline and 15 months in 54 PPMS patients.
  • Clinical evaluations were performed at 5 and 15 years in 49 patients.
  • Linear regression models analyzed lesion load, atrophy, mean diffusivity, and fractional anisotropy as predictors of 15-year disability change (Expanded Disability Status Scale).

Main Results:

  • Ninety percent of patients showed disability progression at 15 years.
  • Integrating clinical and imaging variables at 15 months predicted 15-year disability changes better (R2 = 61%) than clinical factors at 5 years (R2 = 57%).
  • The combined model predicted long-term disability change within one point for 77.6% of patients.

Conclusions:

  • Integration of clinical and imaging measures enhances the prediction of long-term disability progression in PPMS.
  • This combined approach can identify at-risk PPMS patients four years earlier than clinical assessment alone.
  • MRI-derived prognostic markers offer valuable insights into PPMS evolution.