Literature DB >> 21563257

Is the magnetization transfer ratio a marker for myelin in multiple sclerosis?

Irene M Vavasour1, Cornelia Laule, David K B Li, Anthony L Traboulsee, Alex L MacKay.   

Abstract

PURPOSE: To investigate the correlation between water content (WC) and magnetization transfer ratio (MTR) in normal and multiple sclerosis (MS) brain. The MTR has been proposed as a marker for myelin in central nervous system tissue. However, changes in WC due to inflammation and edema may also affect the MTR.
MATERIALS AND METHODS: Seven MS subjects with active disease and seven age- and gender-matched controls were scanned using quantitative magnetic resonance techniques. WC, myelin water content, T(1) relaxation time, and MTR were calculated from areas of lesion (divided into new lesions less than 2 months old, isointense T(1) lesions, and hypointense T(1) lesions), contralateral normal-appearing white matter (NAWM), and location-matched normal white matter (NWM) in controls. Linear regression was used to determine the correlation between WC and MTR.
RESULTS: A significant correlation was found between WC and MTR across all tissue (R = -0.65, P < 0.0005).
CONCLUSION: MTR was correlated with WC in MS tissue, indicating that inflammation and edema influence MTR. Therefore, caution should be used when associating MTR exclusively with myelin content.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21563257     DOI: 10.1002/jmri.22441

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  72 in total

1.  Removal of cerebrospinal fluid partial volume effects in quantitative magnetization transfer imaging using a three-pool model with nonexchanging water component.

Authors:  Pouria Mossahebi; Andrew L Alexander; Aaron S Field; Alexey A Samsonov
Journal:  Magn Reson Med       Date:  2014-11-13       Impact factor: 4.668

2.  In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy.

Authors:  Ileana O Jelescu; Magdalena Zurek; Kerryanne V Winters; Jelle Veraart; Anjali Rajaratnam; Nathanael S Kim; James S Babb; Timothy M Shepherd; Dmitry S Novikov; Sungheon G Kim; Els Fieremans
Journal:  Neuroimage       Date:  2016-02-11       Impact factor: 6.556

3.  Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis.

Authors:  Yong Wang; Peng Sun; Qing Wang; Kathryn Trinkaus; Robert E Schmidt; Robert T Naismith; Anne H Cross; Sheng-Kwei Song
Journal:  Brain       Date:  2015-02-26       Impact factor: 13.501

4.  Sample-size calculations for short-term proof-of-concept studies of tissue protection and repair in multiple sclerosis lesions via conventional clinical imaging.

Authors:  Daniel S Reich; Richard White; Irene Cm Cortese; Luisa Vuolo; Colin D Shea; Tassie L Collins; John Petkau
Journal:  Mult Scler       Date:  2015-02-06       Impact factor: 6.312

Review 5.  Secondary Progressive Multiple Sclerosis: Definition and Measurement.

Authors:  Domenico Plantone; Floriana De Angelis; Anisha Doshi; Jeremy Chataway
Journal:  CNS Drugs       Date:  2016-06       Impact factor: 5.749

6.  Magnetization transfer in liposome and proteoliposome samples that mimic the protein and lipid composition of myelin.

Authors:  Weiqi Yang; Jae-Seung Lee; Maureen Leninger; Johannes Windschuh; Nathaniel J Traaseth; Alexej Jerschow
Journal:  NMR Biomed       Date:  2019-05-06       Impact factor: 4.044

Review 7.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

8.  Myelin loss in white matter hyperintensities and normal-appearing white matter of cognitively impaired patients: a quantitative synthetic magnetic resonance imaging study.

Authors:  Mina Park; Yeonsil Moon; Seol-Heui Han; Ho Kyun Kim; Won-Jin Moon
Journal:  Eur Radiol       Date:  2018-11-28       Impact factor: 5.315

9.  Development and aging of superficial white matter myelin from young adulthood to old age: Mapping by vertex-based surface statistics (VBSS).

Authors:  Minjie Wu; Anand Kumar; Shaolin Yang
Journal:  Hum Brain Mapp       Date:  2016-03-09       Impact factor: 5.038

10.  Adult age differences in subcortical myelin content are consistent with protracted myelination and unrelated to diffusion tensor imaging indices.

Authors:  Muzamil Arshad; Jeffrey A Stanley; Naftali Raz
Journal:  Neuroimage       Date:  2016-08-22       Impact factor: 6.556

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