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Research Article| Volume 312, ISSUE 1-2, P7-12, January 15, 2012

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Effect of disease-modifying therapies on brain volume in relapsing–remitting multiple sclerosis: Results of a five-year brain MRI study

Published:September 15, 2011DOI:https://doi.org/10.1016/j.jns.2011.08.034

      Abstract

      Objective

      To compare the long-term effect of disease-modifying therapies (DMT) on brain volume loss in relapsing–remitting MS (RRMS) patients.

      Methods

      We conducted a study to examine the effect of daily glatiramer acetate (GA), weekly low dose interferon beta (LD-IFNB), and high-dose high-frequency interferon beta disease (HD-IFNB) on brain volume loss over 5 years in RRMS patients. All patients were previously treatment naïve, had disease duration ≤5 years at the time of initiating DMT, and subsequently received the same DMT for 5 years continuously. The percentage change in brain volume (PCBV) was measured using fully automated software. MRI analysis was performed blinded to treatment allocation.

      Results

      The adjusted PCBV from baseline to year 5 was −2.27% in GA, −2.62% in LD-IFNB, and −3.21% in the HD-IFNB groups (−2.27 vs −2.62, p=0.0036; −2.27 vs −3.21, p<0.0001; −2.62 vs −3.21, p<0.0001). These data remained unchanged from year 1 to year 5, after adjusting for pseudoatrophy in the first year. A group of RRMS patients that remained untreated for a period ranging from 8 to 24 months, served as controls. All treatment groups were significantly better than the rate of projected brain volume loss in the untreated group over 5 years (p<0.0001).

      Conclusions

      Global brain volume loss is a dynamic process even in relatively early RRMS patients that occurs despite intervention with therapy. However, all DMT significantly reduced the loss of brain volume compared to no treatment. The GA-treated group experienced the least reduction in brain volume over 5 years, compared to the LD-IFNB and HD-IFNB treated groups. These differences could be partly related to the immunologic consequences of GA therapy in RRMS.

      Keywords

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