Literature DB >> 24966048

Investigation of magnetization transfer ratio-derived pial and subpial abnormalities in the multiple sclerosis spinal cord.

Hugh Kearney1, Marios C Yiannakas2, Rebecca S Samson2, Claudia A M Wheeler-Kingshott3, Olga Ciccarelli3, David H Miller3.   

Abstract

Neuropathological studies in multiple sclerosis have suggested that meningeal inflammation in the brain may be linked to disease progression. Inflammation in the spinal cord meninges has been associated with axonal loss, a pathological substrate for disability. Quantitative magnetic resonance imaging facilitates the investigation of spinal cord microstructure by approximating histopathological changes. We acquired structural and quantitative imaging of the cervical spinal cord from which we calculated magnetization transfer ratio in the outer spinal cord-an area corresponding to the expected location of the pia mater and subpial region-and in spinal cord white and grey matter. We studied 26 healthy controls, 22 people with a clinically isolated syndrome, 29 with relapsing-remitting, 28 with secondary-progressive and 28 with primary-progressive multiple sclerosis. Magnetization transfer ratio values in the outermost region of the spinal cord were higher than the white matter in controls and patients: controls (51.35 ± 1.29 versus 49.87 ± 1.45, P < 0.01), clinically isolated syndrome (50.46 ± 1.39 versus 49.13 ± 1.19, P < 0.01), relapsing-remitting (48.86 ± 2.89 versus 47.44 ± 2.70, P < 0.01), secondary-progressive (46.33 ± 2.84 versus 44.75 ± 3.10, P < 0.01) and primary-progressive multiple sclerosis (46.99 ± 3.78 versus 45.62 ± 3.40, P < 0.01). In linear regression models controlling for cord area and age, higher outer spinal cord magnetization transfer ratio values were seen in controls than all patient groups: clinically isolated syndrome (coefficient = -0.32, P = 0.03), relapsing-remitting (coefficient = -0.48, P < 0.01), secondary-progressive (coefficient = -0.51, P < 0.01) and primary-progressive multiple sclerosis (coefficient = -0.38, P < 0.01). In a regression analysis correcting for age and cord area, magnetization transfer ratio values in the outer cord were lower in relapsing-remitting multiple sclerosis compared with clinically isolated syndrome (coefficient = -0.28, P = 0.02), and both primary and secondary-progressive compared to relapsing-remitting multiple sclerosis (coefficients = -0.29 and -0.24, respectively, P = 0.02 for both). In the clinically isolated syndrome and relapsing-remitting multiple sclerosis groups, outer cord magnetization transfer ratio was decreased in the absence of significant cord atrophy. In a multivariate regression analysis an independent association was seen between outer cord magnetization transfer ratio and cord atrophy (coefficient = 0.40, P < 0.01). Our in vivo imaging observations suggest that abnormalities in a region involving the pia mater and subpial cord occur early in the course of multiple sclerosis and are more marked in those with a progressive course.
© The Author (2014). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  MRI; MTR; magnetization transfer ratio; multiple sclerosis; spinal cord

Mesh:

Year:  2014        PMID: 24966048     DOI: 10.1093/brain/awu171

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  15 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

Review 2.  Spinal cord MRI in multiple sclerosis--diagnostic, prognostic and clinical value.

Authors:  Hugh Kearney; David H Miller; Olga Ciccarelli
Journal:  Nat Rev Neurol       Date:  2015-05-26       Impact factor: 42.937

Review 3.  MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.

Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

4.  Multiple sclerosis: Spinal cord MRI reveals progression-related MS pathology.

Authors:  Alex Chase
Journal:  Nat Rev Neurol       Date:  2014-07-22       Impact factor: 42.937

5.  Magnetization transfer ratio measures in normal-appearing white matter show periventricular gradient abnormalities in multiple sclerosis.

Authors:  Zheng Liu; Matteo Pardini; Özgür Yaldizli; Varun Sethi; Nils Muhlert; Claudia A M Wheeler-Kingshott; Rebecca S Samson; David H Miller; Declan T Chard
Journal:  Brain       Date:  2015-03-29       Impact factor: 13.501

6.  Evidence for early neurodegeneration in the cervical cord of patients with primary progressive multiple sclerosis.

Authors:  Khaled Abdel-Aziz; Torben Schneider; Bhavana S Solanky; Marios C Yiannakas; Dan R Altmann; Claudia A M Wheeler-Kingshott; Amy L Peters; Brian L Day; Alan J Thompson; Olga Ciccarelli
Journal:  Brain       Date:  2015-04-10       Impact factor: 13.501

Review 7.  Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI.

Authors:  Allan R Martin; Izabela Aleksanderek; Julien Cohen-Adad; Zenovia Tarmohamed; Lindsay Tetreault; Nathaniel Smith; David W Cadotte; Adrian Crawley; Howard Ginsberg; David J Mikulis; Michael G Fehlings
Journal:  Neuroimage Clin       Date:  2015-12-04       Impact factor: 4.881

Review 8.  Imaging as an Outcome Measure in Multiple Sclerosis.

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

9.  2D phase-sensitive inversion recovery imaging to measure in vivo spinal cord gray and white matter areas in clinically feasible acquisition times.

Authors:  Nico Papinutto; Regina Schlaeger; Valentina Panara; Eduardo Caverzasi; Sinyeob Ahn; Kevin J Johnson; Alyssa H Zhu; William A Stern; Gerhard Laub; Stephen L Hauser; Roland G Henry
Journal:  J Magn Reson Imaging       Date:  2014-12-08       Impact factor: 4.813

10.  Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis.

Authors:  Marios C Yiannakas; Ahmed M Mustafa; Benjamin De Leener; Hugh Kearney; Carmen Tur; Daniel R Altmann; Floriana De Angelis; Domenico Plantone; Olga Ciccarelli; David H Miller; Julien Cohen-Adad; Claudia A M Gandini Wheeler-Kingshott
Journal:  Neuroimage Clin       Date:  2015-11-10       Impact factor: 4.881

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