Neuropsychological assessment in multiple sclerosis: a follow-up study with magnetic resonance imaging

1991 ◽  
Vol 238 (7) ◽  
pp. 395-400 ◽  
Author(s):  
C. Mariani ◽  
E. Farina ◽  
S. F. Cappa ◽  
G. P. Anzola ◽  
L. Faglia ◽  
...  
2008 ◽  
Vol 49 (5) ◽  
pp. 570-579 ◽  
Author(s):  
J. Martola ◽  
L. Stawiarz ◽  
S. Fredrikson ◽  
J. Hillert ◽  
J. Bergström ◽  
...  

2016 ◽  
Vol 23 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Tomas Uher ◽  
Manuela Vaneckova ◽  
Lukas Sobisek ◽  
Michaela Tyblova ◽  
Zdenek Seidl ◽  
...  

Background: Disease progression and treatment efficacy vary among individuals with multiple sclerosis. Reliable predictors of individual disease outcomes are lacking. Objective: To examine the accuracy of the early prediction of 12-year disability outcomes using clinical and magnetic resonance imaging (MRI) parameters. Methods: A total of 177 patients from the original Avonex-Steroids-Azathioprine study were included. Participants underwent 3-month clinical follow-ups. Cox models were used to model the associations between clinical and MRI markers at baseline or after 12 months with sustained disability progression (SDP) over the 12-year observation period. Results: At baseline, T2 lesion number, T1 and T2 lesion volumes, corpus callosum (CC), and thalamic fraction were the best predictors of SDP (hazard ratio (HR) = 1.7–4.6; p ⩽ 0.001–0.012). At 12 months, Expanded Disability Status Scale (EDSS) and its change, number of new or enlarging T2 lesions, and CC volume % change were the best predictors of SDP over the follow-up (HR = 1.7–3.5; p ⩽  0.001–0.017). A composite score was generated from a subset of the best predictors of SDP. Scores of ⩾4 had greater specificity (90%–100%) and were associated with greater cumulative risk of SDP (HR = 3.2–21.6; p < 0.001) compared to the individual predictors. Conclusion: The combination of established MRI and clinical indices with MRI volumetric predictors improves the prediction of SDP over long-term follow-up and may provide valuable information for therapeutic decisions.


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