Document Detail


Thalamic Damage Predicts the Evolution of Primary-Progressive Multiple Sclerosis at 5 Years.
MedLine Citation:
PMID:  21393412     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND AND PURPOSE: Reliable markers to monitor PPMS are still needed. We investigated whether conventional and DTI measures of thalamic damage are predictive of long-term disability accumulation in PPMS. MATERIALS AND METHODS: Brain conventional and DTI scans were obtained at baseline and after a mean follow-up of 15 months in 54 patients with PPMS and 8 healthy controls. Patients were reassessed clinically after 5 years. At baseline and follow-up, measures of lesion load, brain atrophy, and NTV were obtained. MD and FA histograms of the NAWM, the whole GM without the thalami, and the thalami were obtained. A multivariate analysis evaluated the predictors of long-term neurologic deterioration. RESULTS: At follow-up, 35 patients showed disability worsening. At baseline, compared with healthy controls, patients with PPMS had lower NTV (P < .001) and thalamic FA (P = .002) and higher thalamic (P = .002) and whole GM without the thalami (P = .005) MD. During follow-up, the change of thalamic FA was higher in PPMS versus healthy controls (P = .01). Baseline NTV and thalamic DTI quantities differed significantly between patients with PPMS with and without thalamic lesions. Baseline thalamic quantities were significantly correlated with the extent of brain T2 lesions and the severity of NAWM damage. The multivariate model included average NAWM MD (OR = 1.46, P = .005) and FA thalamic change (OR = 0.84, P = .02) as independent predictors of EDSS score deterioration (Nagelkerke R(2) = 0.55). CONCLUSIONS: Short-term accrual of thalamic damage and the severity of NAWM involvement predict the long-term accumulation of disability in PPMS.
Authors:
S Mesaros; M A Rocca; E Pagani; M P Sormani; M Petrolini; G Comi; M Filippi
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-3-10
Journal Detail:
Title:  AJNR. American journal of neuroradiology     Volume:  -     ISSN:  1936-959X     ISO Abbreviation:  -     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-3-11     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8003708     Medline TA:  AJNR Am J Neuroradiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Neuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology, and Department of Neurology, Scientific Institute and University Ospedale San Raffaele, Milan, Italy; and Unit of Biostatistics, Department of Health Services, University of Genoa, Genoa, Italy.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Comparison of Hypothesis- and a Novel Hybrid Data/Hypothesis-Driven Method of Functional MR Imaging ...
Next Document:  Alcohol in fatal crashes involving Mexican and Canadian drivers in the USA.