Literature DB >> 25174493

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

Sarah Eskreis-Winkler1, Kofi Deh1, Ajay Gupta1, Tian Liu2, Cynthia Wisnieff1,3, Moonsoo Jin3, Susan A Gauthier4, Yi Wang1,3, Pascal Spincemaille1.   

Abstract

PURPOSE: To demonstrate the phase and quantitative susceptibility mapping (QSM) patterns created by solid and shell spatial distributions of magnetic susceptibility in multiple sclerosis (MS) lesions.
MATERIALS AND METHODS: Numerical simulations and experimental phantoms of solid- and shell-shaped magnetic susceptibility sources were used to generate magnitude, phase, and QSM images. Imaging of 20 consecutive MS patients was also reviewed for this Institutional Review Board (IRB)-approved MRI study to identify the appearance of solid and shell lesions on phase and QSM images.
RESULTS: Solid and shell susceptibility sources were correctly reconstructed in QSM images, while the corresponding phase images depicted both geometries with shell-like patterns, making the underlying susceptibility distribution difficult to determine using phase alone. In MS patients, of the 60 largest lesions identified on T2 , 30 lesions were detected on both QSM and phase, of which 83% were solid and 17% were shells on QSM, and of which 30% were solid and 70% were shell on phase. Of the 21 shell-like lesions on phase, 76% appeared solid on QSM, 24% appeared shell on QSM. Of the five shell-like lesions on QSM, all were shell-like on phase.
CONCLUSION: QSM accurately depicts both solid and shell patterns of magnetic susceptibility, while phase imaging fails to distinguish them.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  iron; multiple sclerosis; phase; quantitative susceptibility mapping

Mesh:

Year:  2014        PMID: 25174493      PMCID: PMC4733654          DOI: 10.1002/jmri.24745

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


  26 in total

1.  Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping.

Authors:  Tian Liu; Cynthia Wisnieff; Min Lou; Weiwei Chen; Pascal Spincemaille; Yi Wang
Journal:  Magn Reson Med       Date:  2012-04-09       Impact factor: 4.668

2.  A serial in vivo 7T magnetic resonance phase imaging study of white matter lesions in multiple sclerosis.

Authors:  Wei Bian; Kristin Harter; Kathryn E Hammond-Rosenbluth; Janine M Lupo; Duan Xu; Douglas Ac Kelley; Daniel B Vigneron; Sarah J Nelson; Daniel Pelletier
Journal:  Mult Scler       Date:  2012-05-28       Impact factor: 6.312

3.  Robust myelin quantitative imaging from multi-echo T2 MRI using edge preserving spatial priors.

Authors:  Xiaobo Shen; Thanh D Nguyen; Susan A Gauthier; Ashish Raj
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

4.  Origins of the ultrashort-T2 1H NMR signals in myelinated nerve: a direct measure of myelin content?

Authors:  R Adam Horch; John C Gore; Mark D Does
Journal:  Magn Reson Med       Date:  2011-05-13       Impact factor: 4.668

5.  Multiple sclerosis: validation of MR imaging for quantification and detection of iron.

Authors:  Andrew J Walsh; R Marc Lebel; Amir Eissa; Gregg Blevins; Ingrid Catz; Jian-Qiang Lu; Lothar Resch; Edward S Johnson; Derek J Emery; Kenneth G Warren; Alan H Wilman
Journal:  Radiology       Date:  2013-01-07       Impact factor: 11.105

6.  Biophysical mechanisms of MRI signal frequency contrast in multiple sclerosis.

Authors:  Dmitriy A Yablonskiy; Jie Luo; Alexander L Sukstanskii; Aditi Iyer; Anne H Cross
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-13       Impact factor: 11.205

Review 7.  Visualizing iron in multiple sclerosis.

Authors:  Francesca Bagnato; Simon Hametner; Edward Brian Welch
Journal:  Magn Reson Imaging       Date:  2013-01-22       Impact factor: 2.546

8.  Magnetic resonance frequency shifts during acute MS lesion formation.

Authors:  Vanessa Wiggermann; Enedino Hernández Torres; Irene M Vavasour; G R Wayne Moore; Cornelia Laule; Alex L MacKay; David K B Li; Anthony Traboulsee; Alexander Rauscher
Journal:  Neurology       Date:  2013-06-12       Impact factor: 9.910

9.  Ultrashort echo time (UTE) magnetic resonance imaging of the short T2 components in white matter of the brain using a clinical 3T scanner.

Authors:  Jiang Du; Guolin Ma; Shihong Li; Michael Carl; Nikolaus M Szeverenyi; Scott VandenBerg; Jody Corey-Bloom; Graeme M Bydder
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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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  25 in total

1.  Iron and Non-Iron-Related Characteristics of Multiple Sclerosis and Neuromyelitis Optica Lesions at 7T MRI.

Authors:  S Chawla; I Kister; J Wuerfel; J-C Brisset; S Liu; T Sinnecker; P Dusek; E M Haacke; F Paul; Y Ge
Journal:  AJNR Am J Neuroradiol       Date:  2016-03-24       Impact factor: 3.825

2.  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

Review 3.  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

4.  Brain Iron Distribution after Multiple Doses of Ultra-small Superparamagnetic Iron Oxide Particles in Rats.

Authors:  Andrew W Gorman; Kofi M Deh; Caspar M Schwiedrzik; Julie R White; Ernest Victor Groman; Clark A Fisher; Kelly M Gillen; Pascal Spincemaille; Skye Rasmussen; Martin R Prince; Henning U Voss; Winrich A Freiwald; Yi Wang
Journal:  Comp Med       Date:  2018-04-02       Impact factor: 0.982

5.  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

6.  Susceptibility MRI captures nigral pathology in patients with parkinsonian syndromes.

Authors:  Mechelle M Lewis; Guangwei Du; Jennifer Baccon; Amanda M Snyder; Ben Murie; Felicia Cooper; Christy Stetter; Lan Kong; Christopher Sica; Richard B Mailman; James R Connor; Xuemei Huang
Journal:  Mov Disord       Date:  2018-05-14       Impact factor: 10.338

7.  Identification of Chronic Active Multiple Sclerosis Lesions on 3T MRI.

Authors:  M Absinta; P Sati; A Fechner; M K Schindler; G Nair; D S Reich
Journal:  AJNR Am J Neuroradiol       Date:  2018-05-03       Impact factor: 3.825

Review 8.  Susceptibility tensor imaging (STI) of the brain.

Authors:  Wei Li; Chunlei Liu; Timothy Q Duong; Peter C M van Zijl; Xu Li
Journal:  NMR Biomed       Date:  2016-04-27       Impact factor: 4.044

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

Authors:  D M Harrison; X Li; H Liu; C K Jones; B Caffo; P A Calabresi; P van Zijl
Journal:  AJNR Am J Neuroradiol       Date:  2016-03-03       Impact factor: 3.825

10.  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

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