Literature DB >> 27078709

Quantitative evaluation of cerebral white matter in patients with multiple sclerosis using multicomponent T2 mapping.

Eva Baranovicova1, Vladimir Mlynarik2, Ema Kantorova3, Petra Hnilicova1, Dusan Dobrota4.   

Abstract

OBJECTS: A standard magnetic resonance imaging (MRI) investigation of white matter (WM) areas with visible or expected pathology does not explain satisfactorily the relation between pathology and clinical outcome. Therefore, we focused on multicomponent T2 mapping of WM with the intention to characterize the WM, including normal-appearing white matter that has normal and prolonged T2 and lesions, including degenerated tissue.
MATERIALS AND METHODS: Twenty-nine patients with clinically diagnosed MS and 27 healthy controls underwent MRI examination. T2 mapping of the WM across the two whole MRI slices was carried out. The relative abundance of biologically relevant T2 regions was correlated with age and the expanded disability status scale (EDSS).
RESULTS: The relative abundance of the T2 values of water trapped in myelin increased with age in both healthy subjects (p < 0.05) and MS patients (p < 0.05). The relative abundance of intermediate T2 assigned to intra- and extracellular water decreased with age in both groups (p < 0.05) and with EDSS (p < 0.005) in the MS patients. The mixed water pools with a T2 above 110 ms were not related to age, but strongly increased with EDSS (p < 0.000005).
CONCLUSION: Our results suggest that multicomponent T2 mapping of the WM can be a useful parameter for monitoring the progression of MS in patients.

Entities:  

Keywords:  Aging; Multiple sclerosis; Myelin; Relaxometry; White matter

Mesh:

Year:  2016        PMID: 27078709     DOI: 10.1080/01616412.2016.1165450

Source DB:  PubMed          Journal:  Neurol Res        ISSN: 0161-6412            Impact factor:   2.448


  3 in total

1.  Rapid simultaneous high-resolution mapping of myelin water fraction and relaxation times in human brain using BMC-mcDESPOT.

Authors:  Mustapha Bouhrara; Richard G Spencer
Journal:  Neuroimage       Date:  2016-10-08       Impact factor: 6.556

2.  Quantitative signal properties from standardized MRIs correlate with multiple sclerosis disability.

Authors:  Tammie L S Benzinger; Robert T Naismith; Matthew R Brier; Abraham Z Snyder; Aaron Tanenbaum; Richard A Rudick; Elizabeth Fisher; Stephen Jones; Joshua S Shimony; Anne H Cross
Journal:  Ann Clin Transl Neurol       Date:  2021-05-04       Impact factor: 4.511

Review 3.  Current Methods of Magnetic Resonance for Noninvasive Assessment of Molecular Aspects of Pathoetiology in Multiple Sclerosis.

Authors:  Petra Hnilicová; Oliver Štrbák; Martin Kolisek; Egon Kurča; Kamil Zeleňák; Štefan Sivák; Ema Kantorová
Journal:  Int J Mol Sci       Date:  2020-08-25       Impact factor: 5.923

  3 in total

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