Literature DB >> 27153293

Multimodal quantitative MRI assessment of cortical damage in relapsing-remitting multiple sclerosis.

René-Maxime Gracien1,2, Alina Jurcoane3,2, Marlies Wagner3,2, Sarah C Reitz1,2, Christoph Mayer1, Steffen Volz2, Stephanie-Michelle Hof1,2, Vinzenz Fleischer4,5, Amgad Droby4,5, Helmuth Steinmetz1, Sergiu Groppa4,5, Elke Hattingen3,2, Ralf Deichmann2, Johannes C Klein1,2,6.   

Abstract

PURPOSE: To investigate magnetization transfer ratio (MTR), T1 relaxation time, and proton density (PD) as indicators of gray matter damage in relapsing-remitting multiple sclerosis (RRMS), reflecting different aspects of microstructural damage and as imaging correlates of clinical disability. We aimed to determine which of these parameters may optimally quantify cortical damage, and serve as an imaging surrogate of clinical disability. In this study, cortical values of MTR, a surrogate for demyelination in MS, of PD, reflecting replacement of neural tissue by water, and of T1 , indicating a complex array of microstructural changes, were assessed in a group of RRMS patients in comparison to healthy controls (HC).
MATERIALS AND METHODS: 22 RRMS patients with varying disease duration (4.0 ± 6.54 years) and 10 HC received quantitative 3T magnetic resonance imaging (MRI) with MTR, T1 , and PD mapping. We tested for differences in cortical measurements between patients and HC. Additionally, correlation with disability as quantified by the Expanded Disability Status Scale was investigated.
RESULTS: Cortical parameter values were significantly altered in the RRMS group, with increased values of T1 (P = 0.008) and PD (P = 0.028) and reduced values of MTR (P = 0.043). Only cortical T1 was correlated with clinical disability measurements (P = 0.001, r = 0.65). Receiver operating characteristic analysis demonstrated the best discriminatory power for T1 (area under the curve 0.79, PD: 0.75, MTR 0.73).
CONCLUSION: Out of the parameters studied, cortical T1 is best suited to detect cortical damage as an imaging surrogate of clinical disability in RRMS. J. Magn. Reson. Imaging 2016;44:1600-1607.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MTR; T1 relaxation time; cortical gray matter; multiple sclerosis; proton density; quantitative MRI

Mesh:

Year:  2016        PMID: 27153293     DOI: 10.1002/jmri.25297

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


  15 in total

1.  Quantitative MRI using STrategically Acquired Gradient Echo (STAGE): optimization for 1.5 T scanners and T1 relaxation map validation.

Authors:  Alice Pirastru; Yongsheng Chen; Laura Pelizzari; Francesca Baglio; Mario Clerici; E Mark Haacke; Maria Marcella Laganà
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

2.  Parameter map error due to normal noise and aliasing artifacts in MR fingerprinting.

Authors:  Danielle Kara; Mingdong Fan; Jesse Hamilton; Mark Griswold; Nicole Seiberlich; Robert Brown
Journal:  Magn Reson Med       Date:  2019-01-23       Impact factor: 4.668

3.  Evaluation of brain ageing: a quantitative longitudinal MRI study over 7 years.

Authors:  René-Maxime Gracien; Lucas Nürnberger; Pavel Hok; Stephanie-Michelle Hof; Sarah C Reitz; Udo Rüb; Helmuth Steinmetz; Rüdiger Hilker-Roggendorf; Johannes C Klein; Ralf Deichmann; Simon Baudrexel
Journal:  Eur Radiol       Date:  2016-07-05       Impact factor: 5.315

4.  Cortical quantitative MRI parameters are related to the cognitive status in patients with relapsing-remitting multiple sclerosis.

Authors:  Alexandra van Wijnen; Franca Petrov; Michelle Maiworm; Stefan Frisch; Christian Foerch; Elke Hattingen; Helmuth Steinmetz; Johannes C Klein; Ralf Deichmann; Marlies Wagner; René-Maxime Gracien
Journal:  Eur Radiol       Date:  2019-10-10       Impact factor: 5.315

5.  Potential clinical impact of multiparametric quantitative MR spectroscopy in neurological disorders: A review and analysis.

Authors:  Ivan I Kirov; Assaf Tal
Journal:  Magn Reson Med       Date:  2019-08-08       Impact factor: 4.668

6.  Discussion on "distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo.

Authors:  Amanda F Mejia
Journal:  Biometrics       Date:  2021-12-12       Impact factor: 1.701

7.  Discriminative power of intra-retinal layers in early multiple sclerosis using 3D OCT imaging.

Authors:  Caspar B Seitz; Amgad Droby; Lena Zaubitzer; Julia Krämer; Mathieu Paradis; Luisa Klotz; Heinz Wiendl; Sergiu Groppa; Sven G Meuth; Frauke Zipp; Vinzenz Fleischer
Journal:  J Neurol       Date:  2018-08-02       Impact factor: 4.849

8.  Comparison of two quantitative proton density mapping methods in multiple sclerosis.

Authors:  René-Maxime Gracien; Sarah C Reitz; Marlies Wagner; Christoph Mayer; Steffen Volz; Stephanie-Michelle Hof; Vinzenz Fleischer; Amgad Droby; Helmuth Steinmetz; Sergiu Groppa; Elke Hattingen; Johannes C Klein; Ralf Deichmann
Journal:  MAGMA       Date:  2016-08-20       Impact factor: 2.310

9.  Flexible proton density (PD) mapping using multi-contrast variable flip angle (VFA) data.

Authors:  Sara Lorio; Tim M Tierney; Amy McDowell; Owen J Arthurs; Antoine Lutti; Nikolaus Weiskopf; David W Carmichael
Journal:  Neuroimage       Date:  2018-11-19       Impact factor: 6.556

10.  The Relationship between Gray Matter Quantitative MRI and Disability in Secondary Progressive Multiple Sclerosis.

Authors:  René-Maxime Gracien; Alina Jurcoane; Marlies Wagner; Sarah C Reitz; Christoph Mayer; Steffen Volz; Stephanie-Michelle Hof; Vinzenz Fleischer; Amgad Droby; Helmuth Steinmetz; Frauke Zipp; Elke Hattingen; Ralf Deichmann; Johannes C Klein
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

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