Literature DB >> 26939635

Lesion Heterogeneity on High-Field Susceptibility MRI Is Associated with Multiple Sclerosis Severity.

D M Harrison1, X Li2, H Liu3, C K Jones2, B Caffo4, P A Calabresi5, P van Zijl2.   

Abstract

BACKGROUND AND
PURPOSE: Susceptibility MR imaging contrast variations reflect alterations in brain iron and myelin content, making this imaging tool relevant to studies of multiple sclerosis lesion heterogeneity. In this study, we aimed to characterize the relationship of high-field, susceptibility contrasts in multiple sclerosis lesions to clinical outcomes.
MATERIALS AND METHODS: Twenty-four subjects with multiple sclerosis underwent 7T MR imaging of the brain, disability examinations, and a fatigue inventory. The inverse of T2* relaxation time (R2*), frequency, and relative susceptibility (from quantitative susceptibility mapping) were analyzed in 306 white matter lesions.
RESULTS: Most lesions were hypointense on R2* (88% without a rim, 5% with). Lesions that were hyperintense on quantitative susceptibility mapping were more frequent in relapsing-remitting than in progressive multiple sclerosis (54% versus 35%, P = .018). Hyperintense lesion rims on quantitative susceptibility maps were more common in progressive multiple sclerosis and patients with higher levels of disability and fatigue. Mean lesion R2* was inversely related to disability and fatigue and significantly reduced in progressive multiple sclerosis. Relative susceptibility was lower in lesions in progressive multiple sclerosis (median, -0.018 ppm; range, -0.070 to 0.022) than in relapsing-remitting MS (median, -0.010 ppm; range, -0.062 to 0.052; P = .003).
CONCLUSIONS: A progressive clinical phenotype and greater disability and fatigue were associated with lower R2* and relative susceptibility values (suggestive of low iron due to oligodendrocyte loss) and rimmed lesions (suggestive of chronic inflammation) in this multiple sclerosis cohort. Lesion heterogeneity on susceptibility MR imaging may help explain disability in multiple sclerosis and provide a window into the processes of demyelination, oligodendrocyte loss, and chronic lesion inflammation.
© 2016 by American Journal of Neuroradiology.

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Mesh:

Year:  2016        PMID: 26939635      PMCID: PMC4983536          DOI: 10.3174/ajnr.A4726

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  35 in total

1.  Oligodendrocyte progenitor cells internalize ferritin via clathrin-dependent receptor mediated endocytosis.

Authors:  S W Hulet; S O Heyliger; S Powers; J R Connor
Journal:  J Neurosci Res       Date:  2000-07-01       Impact factor: 4.164

2.  Quantitative in vivo magnetic resonance imaging of multiple sclerosis at 7 Tesla with sensitivity to iron.

Authors:  Kathryn E Hammond; Meredith Metcalf; Lucas Carvajal; Darin T Okuda; Radhika Srinivasan; Dan Vigneron; Sarah J Nelson; Daniel Pelletier
Journal:  Ann Neurol       Date:  2008-12       Impact factor: 10.422

Review 3.  Relationship of iron to oligodendrocytes and myelination.

Authors:  J R Connor; S L Menzies
Journal:  Glia       Date:  1996-06       Impact factor: 7.452

4.  The use of power images to perform quantitative analysis on low SNR MR images.

Authors:  A J Miller; P M Joseph
Journal:  Magn Reson Imaging       Date:  1993       Impact factor: 2.546

5.  Magnetic susceptibility contrast variations in multiple sclerosis lesions.

Authors:  Xu Li; Daniel M Harrison; Hongjun Liu; Craig K Jones; Jiwon Oh; Peter A Calabresi; Peter C M van Zijl
Journal:  J Magn Reson Imaging       Date:  2015-06-14       Impact factor: 4.813

6.  Chronic multiple sclerosis lesions: characterization with high-field-strength MR imaging.

Authors:  Bing Yao; Francesca Bagnato; Eiji Matsuura; Hellmut Merkle; Peter van Gelderen; Fredric K Cantor; Jeff H Duyn
Journal:  Radiology       Date:  2011-11-14       Impact factor: 11.105

7.  Multiple sclerosis lesion geometry in quantitative susceptibility mapping (QSM) and phase imaging.

Authors:  Sarah Eskreis-Winkler; Kofi Deh; Ajay Gupta; Tian Liu; Cynthia Wisnieff; Moonsoo Jin; Susan A Gauthier; Yi Wang; Pascal Spincemaille
Journal:  J Magn Reson Imaging       Date:  2014-08-30       Impact factor: 4.813

8.  Seven-tesla phase imaging of acute multiple sclerosis lesions: a new window into the inflammatory process.

Authors:  Martina Absinta; Pascal Sati; María I Gaitán; Pietro Maggi; Irene C M Cortese; Massimo Filippi; Daniel S Reich
Journal:  Ann Neurol       Date:  2013-09-16       Impact factor: 10.422

Review 9.  Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.

Authors:  Yi Wang; Tian Liu
Journal:  Magn Reson Med       Date:  2014-07-17       Impact factor: 4.668

10.  Iron is a sensitive biomarker for inflammation in multiple sclerosis lesions.

Authors:  Veela Mehta; Wei Pei; Grant Yang; Suyang Li; Eashwar Swamy; Aaron Boster; Petra Schmalbrock; David Pitt
Journal:  PLoS One       Date:  2013-03-14       Impact factor: 3.240

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  22 in total

1.  Quantitative susceptibility mapping identifies inflammation in a subset of chronic multiple sclerosis lesions.

Authors:  Ulrike W Kaunzner; Yeona Kang; Shun Zhang; Eric Morris; Yihao Yao; Sneha Pandya; Sandra M Hurtado Rua; Calvin Park; Kelly M Gillen; Thanh D Nguyen; Yi Wang; David Pitt; Susan A Gauthier
Journal:  Brain       Date:  2019-01-01       Impact factor: 13.501

Review 2.  Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.

Authors:  Yi Wang; Pascal Spincemaille; Zhe Liu; Alexey Dimov; Kofi Deh; Jianqi Li; Yan Zhang; Yihao Yao; Kelly M Gillen; Alan H Wilman; Ajay Gupta; Apostolos John Tsiouris; Ilhami Kovanlikaya; Gloria Chia-Yi Chiang; Jonathan W Weinsaft; Lawrence Tanenbaum; Weiwei Chen; Wenzhen Zhu; Shixin Chang; Min Lou; Brian H Kopell; Michael G Kaplitt; David Devos; Toshinori Hirai; Xuemei Huang; Yukunori Korogi; Alexander Shtilbans; Geon-Ho Jahng; Daniel Pelletier; Susan A Gauthier; David Pitt; Ashley I Bush; Gary M Brittenham; Martin R Prince
Journal:  J Magn Reson Imaging       Date:  2017-03-10       Impact factor: 4.813

3.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

Authors:  Ferdinand Schweser; Ana Luiza Raffaini Duarte Martins; Jesper Hagemeier; Fuchun Lin; Jannis Hanspach; Bianca Weinstock-Guttman; Simon Hametner; Niels Bergsland; Michael G Dwyer; Robert Zivadinov
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

4.  Value of 3T Susceptibility-Weighted Imaging in the Diagnosis of Multiple Sclerosis.

Authors:  M A Clarke; D Pareto; L Pessini-Ferreira; G Arrambide; M Alberich; F Crescenzo; S Cappelle; M Tintoré; J Sastre-Garriga; C Auger; X Montalban; N Evangelou; À Rovira
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-21       Impact factor: 3.825

5.  Sex-specific differences in rim appearance of multiple sclerosis lesions on quantitative susceptibility mapping.

Authors:  Tolaymat B; Zheng W; Chen H; Choi S; Li X; Harrison Dm
Journal:  Mult Scler Relat Disord       Date:  2020-06-18       Impact factor: 4.339

6.  The central vein sign helps in differentiating multiple sclerosis from its mimickers: lessons from Fabry disease.

Authors:  Mario Tranfa; Mario Tortora; Giuseppe Pontillo; Valentina Iuzzolino; Eleonora Riccio; Simona Caccavallo; Teodolinda Di Risi; Serena Monti; Roberta Lanzillo; Vincenzo Brescia Morra; Giuseppe Palma; Maria Petracca; Antonio Pisani; Arturo Brunetti; Sirio Cocozza
Journal:  Eur Radiol       Date:  2022-01-14       Impact factor: 5.315

7.  Smoldering lesions in MS: if you like it then you should put a rim on it.

Authors:  Catarina Pinto; Melissa Cambron; Adrienn Dobai; Eva Vanheule; Jan W Casselman
Journal:  Neuroradiology       Date:  2021-09-09       Impact factor: 2.804

8.  Brain oxygen extraction fraction mapping in patients with multiple sclerosis.

Authors:  Junghun Cho; Thanh D Nguyen; Weiyuan Huang; Elizabeth M Sweeney; Xianfu Luo; Ilhami Kovanlikaya; Shun Zhang; Kelly M Gillen; Pascal Spincemaille; Ajay Gupta; Susan A Gauthier; Yi Wang
Journal:  J Cereb Blood Flow Metab       Date:  2021-09-24       Impact factor: 6.960

9.  Combining Quantitative Susceptibility Mapping with Automatic Zero Reference (QSM0) and Myelin Water Fraction Imaging to Quantify Iron-Related Myelin Damage in Chronic Active MS Lesions.

Authors:  Y Yao; T D Nguyen; S Pandya; Y Zhang; S Hurtado Rúa; I Kovanlikaya; A Kuceyeski; Z Liu; Y Wang; S A Gauthier
Journal:  AJNR Am J Neuroradiol       Date:  2017-12-14       Impact factor: 3.825

10.  The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical Severity.

Authors:  Zhuoxin Guo; Liu Long; Wei Qiu; Tingting Lu; Lina Zhang; Yaqing Shu; Ke Zhang; Ling Fang; Shaoqiong Chen
Journal:  Front Neurol       Date:  2021-07-09       Impact factor: 4.003

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