Literature DB >> 27178000

Tissue damage within normal appearing white matter in early multiple sclerosis: assessment by the ratio of T1- and T2-weighted MR image intensity.

A Beer1,2, V Biberacher1,2, P Schmidt1,2,3, R Righart1,2, D Buck1, A Berthele1, J Kirschke4, C Zimmer2,4, B Hemmer1,5, M Mühlau6,7,8.   

Abstract

Histopathological and magnetic resonance imaging (MRI) studies have shown white matter (WM) damage in early stages of multiple sclerosis (MS) beyond the apparent T2-hyperintense lesions. These changes in normal appearing WM (NAWM) are important with regard to the clinical picture and prognosis. However, the detection of changes within NAWM has so far required special imaging techniques commonly not available in clinical routine and, hence, at large scale. The purpose of this study was to detect MS-related damage of NAWM by conventional MRI. As, within NAWM, the myelin content mainly drives the T1-weighted (T1w) signal, we scaled it by the T2w signal. We tested the hypothesis that the mean T1w/T2w ratio of NAWM is decreased in MS compared to healthy controls (HC) and that it correlates with clinical measures. We developed a pipeline to determine the individual mean values of this ratio within NAWM. We studied 244 patients in early disease stages of MS (mean age 37 ± 10 years, mean disease duration 3.1 ± 2.3, Expanded Disability Status Scale 1.3 ± 1), and 78 HC (mean age 31 ± 8 years). Compared to HC, the mean T1w/T2w ratio was lowered in the patient group (P < 0.001). The difference remained significant after restricting the analysis to patients with a disease duration of 5 years or less and without disease modifying drugs. Our measures also correlated with clinical scores. We believe that the mean T1w/T2w ratio is a promising candidate to assess MS-related tissue damage within NAWM at large scale.

Entities:  

Keywords:  Clinically isolated syndrome; Magnetic resonance imaging; Multiple sclerosis; Normal appearing white matter; T1-weighted/T2-weighted ratio

Mesh:

Year:  2016        PMID: 27178000     DOI: 10.1007/s00415-016-8156-6

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  25 in total

1.  Multiple sclerosis normal-appearing white matter: pathology-imaging correlations.

Authors:  Natalia M Moll; Anna M Rietsch; Smitha Thomas; Amy J Ransohoff; Jar-Chi Lee; Robert Fox; Ansi Chang; Richard M Ransohoff; Elizabeth Fisher
Journal:  Ann Neurol       Date:  2011-11       Impact factor: 10.422

2.  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

Review 3.  Concepts of myelin and myelination in neuroradiology.

Authors:  A J Barkovich
Journal:  AJNR Am J Neuroradiol       Date:  2000 Jun-Jul       Impact factor: 3.825

4.  Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes.

Authors:  Declan T Chard; Jonathan S Jackson; David H Miller; Claudia A M Wheeler-Kingshott
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

5.  An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis.

Authors:  Paul Schmidt; Christian Gaser; Milan Arsic; Dorothea Buck; Annette Förschler; Achim Berthele; Muna Hoshi; Rüdiger Ilg; Volker J Schmid; Claus Zimmer; Bernhard Hemmer; Mark Mühlau
Journal:  Neuroimage       Date:  2011-11-18       Impact factor: 6.556

6.  Association of cognitive impairment and lesion volumes in multiple sclerosis--a MRI study.

Authors:  Murat Yildiz; Barbara Tettenborn; Ernst-Wilhelm Radue; Kerstin Bendfeldt; Stefan Borgwardt
Journal:  Clin Neurol Neurosurg       Date:  2014-10-14       Impact factor: 1.876

7.  Disability in multiple sclerosis is related to normal appearing brain tissue MTR histogram abnormalities.

Authors:  A Traboulsee; J Dehmeshki; Kevin R Peters; C M Griffin; P A Brex; N Silver; O Ciccarrelli; D T Chard; G J Barker; A J Thompson; D H Miller
Journal:  Mult Scler       Date:  2003-12       Impact factor: 6.312

Review 8.  Iron in multiple sclerosis: roles in neurodegeneration and repair.

Authors:  Erin Stephenson; Nabeela Nathoo; Yasamin Mahjoub; Jeff F Dunn; V Wee Yong
Journal:  Nat Rev Neurol       Date:  2014-07-08       Impact factor: 42.937

9.  Increased PK11195-PET binding in normal-appearing white matter in clinically isolated syndrome.

Authors:  Paolo Giannetti; Marios Politis; Paul Su; Federico E Turkheimer; Omar Malik; Shiva Keihaninejad; Kit Wu; Adam Waldman; Richard Reynolds; Richard Nicholas; Paola Piccini
Journal:  Brain       Date:  2014-11-21       Impact factor: 13.501

10.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

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  17 in total

1.  Ratio of T1-Weighted to T2-Weighted Signal Intensity as a Measure of Tissue Integrity: Comparison with Magnetization Transfer Ratio in Patients with Multiple Sclerosis.

Authors:  D Pareto; A Garcia-Vidal; M Alberich; C Auger; X Montalban; M Tintoré; J Sastre-Garriga; À Rovira
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-05       Impact factor: 3.825

2.  N-Acetylglucosamine drives myelination by triggering oligodendrocyte precursor cell differentiation.

Authors:  Michael Sy; Alexander U Brandt; Sung-Uk Lee; Barbara L Newton; Judy Pawling; Autreen Golzar; Anas A Rahman; Zhaoxia Yu; Graham Cooper; Michael Scheel; Friedemann Paul; James W Dennis; Michael Demetriou
Journal:  J Biol Chem       Date:  2020-09-25       Impact factor: 5.157

3.  Association Between Serum MicroRNAs and Magnetic Resonance Imaging Measures of Multiple Sclerosis Severity.

Authors:  Keren Regev; Brian C Healy; Fariha Khalid; Anu Paul; Renxin Chu; Shahamat Tauhid; Subhash Tummala; Camilo Diaz-Cruz; Radhika Raheja; Maria A Mazzola; Felipe von Glehn; Pia Kivisakk; Sheena L Dupuy; Gloria Kim; Tanuja Chitnis; Howard L Weiner; Roopali Gandhi; Rohit Bakshi
Journal:  JAMA Neurol       Date:  2017-03-01       Impact factor: 18.302

4.  Lysophosphatidyl Choline Induced Demyelination in Rat Probed by Relaxation along a Fictitious Field in High Rank Rotating Frame.

Authors:  Lauri J Lehto; Aloma A Albors; Alejandra Sierra; Laura Tolppanen; Lynn E Eberly; Silvia Mangia; Antti Nurmi; Shalom Michaeli; Olli Gröhn
Journal:  Front Neurosci       Date:  2017-08-03       Impact factor: 4.677

5.  Loss of corticospinal tract integrity in early MS disease stages.

Authors:  Marc Pawlitzki; Jens Neumann; Jörn Kaufmann; Jan Heidel; Erhard Stadler; Catherine Sweeney-Reed; Michael Sailer; Stefanie Schreiber
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2017-09-25

Review 6.  Implications of white matter damage in amyotrophic lateral sclerosis (Review).

Authors:  Ting Zhou; Tina Khorshid Ahmad; Kiana Gozda; Jessica Truong; Jiming Kong; Michael Namaka
Journal:  Mol Med Rep       Date:  2017-08-07       Impact factor: 2.952

7.  Influence of 7T GRE-MRI Signal Compartment Model Choice on Tissue Parameters.

Authors:  Kiran Thapaliya; Viktor Vegh; Steffen Bollmann; Markus Barth
Journal:  Front Neurosci       Date:  2020-04-28       Impact factor: 4.677

8.  Gray matter T1-w/T2-w ratios are higher in Alzheimer's disease.

Authors:  Wiesje Pelkmans; Ellen Dicks; Frederik Barkhof; Hugo Vrenken; Philip Scheltens; Wiesje M van der Flier; Betty M Tijms
Journal:  Hum Brain Mapp       Date:  2019-06-03       Impact factor: 5.038

9.  Comparisons between multi-component myelin water fraction, T1w/T2w ratio, and diffusion tensor imaging measures in healthy human brain structures.

Authors:  Md Nasir Uddin; Teresa D Figley; Kevin G Solar; Anwar S Shatil; Chase R Figley
Journal:  Sci Rep       Date:  2019-02-21       Impact factor: 4.379

10.  Mapping of pathological change in chronic fatigue syndrome using the ratio of T1- and T2-weighted MRI scans.

Authors:  Kiran Thapaliya; Sonya Marshall-Gradisnik; Don Staines; Leighton Barnden
Journal:  Neuroimage Clin       Date:  2020-07-31       Impact factor: 4.881

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