Literature DB >> 23761621

Magnetic resonance frequency shifts during acute MS lesion formation.

Vanessa Wiggermann1, Enedino Hernández Torres, Irene M Vavasour, G R Wayne Moore, Cornelia Laule, Alex L MacKay, David K B Li, Anthony Traboulsee, Alexander Rauscher.   

Abstract

OBJECTIVE: We investigated the evolution of new multiple sclerosis (MS) lesions over time using frequency shifts of the magnetic resonance (MR) signal.
METHODS: Twenty patients with relapsing-remitting MS were serially scanned for 6 months at 1-month intervals. Maps of MR frequency shifts were acquired using susceptibility-weighted imaging. New lesions were identified by enhancement with gadolinium (Gd).
RESULTS: Forty new lesions were identified as areas of signal increase on Gd-enhanced scans. Up to 3 months before lesion appearance, the frequency in areas of future Gd enhancement was not detectably different from the frequency in normal-appearing white matter. Rapid increase in MR frequency was observed between 1 month before and 1 month after Gd enhancement. Two months postenhancement and later, the frequency stabilized and remained at a constantly increased level.
CONCLUSIONS: These findings suggest that an increase in MR frequency does not simply reflect blood-brain barrier disruption or edema; rather, it reflects a change of tissue architecture as a consequence of new lesion formation. The data demonstrate that the MR frequency of focal MS lesions is increased before the lesions appear on conventional MRI. Unlike many other advanced imaging techniques, the images for frequency mapping can be rapidly acquired at high spatial resolution and standardized on most clinical scanners.

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Year:  2013        PMID: 23761621      PMCID: PMC3770162          DOI: 10.1212/WNL.0b013e31829bfd63

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  36 in total

1.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

Review 2.  Black holes in multiple sclerosis: definition, evolution, and clinical correlations.

Authors:  M A Sahraian; E-W Radue; S Haller; L Kappos
Journal:  Acta Neurol Scand       Date:  2009-12-05       Impact factor: 3.209

3.  The influence of white matter fibre orientation on MR signal phase and decay.

Authors:  Christian Denk; Enedino Hernandez Torres; Alex MacKay; Alexander Rauscher
Journal:  NMR Biomed       Date:  2010-12-28       Impact factor: 4.044

4.  High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility.

Authors:  Chunlei Liu; Wei Li; G Allan Johnson; Bing Wu
Journal:  Neuroimage       Date:  2011-02-12       Impact factor: 6.556

5.  Imaging cortical lesions in multiple sclerosis with ultra-high-field magnetic resonance imaging.

Authors:  David Pitt; Aaron Boster; Wei Pei; Eric Wohleb; Adam Jasne; Cherian R Zachariah; Kottil Rammohan; Michael V Knopp; Petra Schmalbrock
Journal:  Arch Neurol       Date:  2010-07

6.  The contribution of myelin to magnetic susceptibility-weighted contrasts in high-field MRI of the brain.

Authors:  Jongho Lee; Karin Shmueli; Byeong-Teck Kang; Bing Yao; Masaki Fukunaga; Peter van Gelderen; Sara Palumbo; Francesca Bosetti; Afonso C Silva; Jeff H Duyn
Journal:  Neuroimage       Date:  2011-10-29       Impact factor: 6.556

7.  Accumulation of hypointense lesions ("black holes") on T1 spin-echo MRI correlates with disease progression in multiple sclerosis.

Authors:  L Truyen; J H van Waesberghe; M A van Walderveen; B W van Oosten; C H Polman; O R Hommes; H J Adèr; F Barkhof
Journal:  Neurology       Date:  1996-12       Impact factor: 9.910

8.  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

9.  MRI contrast uptake in new lesions in relapsing-remitting MS followed at weekly intervals.

Authors:  Francois Cotton; Howard L Weiner; Ferenc A Jolesz; Charles R G Guttmann
Journal:  Neurology       Date:  2003-02-25       Impact factor: 9.910

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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  28 in total

1.  Quantitative MRI for Analysis of Active Multiple Sclerosis Lesions without Gadolinium-Based Contrast Agent.

Authors:  I Blystad; I Håkansson; A Tisell; J Ernerudh; Ö Smedby; P Lundberg; E-M Larsson
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-15       Impact factor: 3.825

2.  FLAIR2: A Combination of FLAIR and T2 for Improved MS Lesion Detection.

Authors:  V Wiggermann; E Hernández-Torres; A Traboulsee; D K B Li; A Rauscher
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-08       Impact factor: 3.825

3.  Probing signal phase in direct visualization of short transverse relaxation time component (ViSTa).

Authors:  Daeun Kim; Hyo Min Lee; Se-Hong Oh; Jongho Lee
Journal:  Magn Reson Med       Date:  2014-08-22       Impact factor: 4.668

Review 4.  Contributions to magnetic susceptibility of brain tissue.

Authors:  Jeff H Duyn; John Schenck
Journal:  NMR Biomed       Date:  2016-05-30       Impact factor: 4.044

5.  Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM.

Authors:  Kofi Deh; Gerald D Ponath; Zaki Molvi; Gian-Carlo T Parel; Kelly M Gillen; Shun Zhang; Thanh D Nguyen; Pascal Spincemaille; Yinghua Ma; Ajay Gupta; Susan A Gauthier; David Pitt; Yi Wang
Journal:  J Magn Reson Imaging       Date:  2018-03-08       Impact factor: 4.813

6.  Chronic T2 Lesions in Multiple Sclerosis are Heterogeneous Regarding Phase MR Imaging.

Authors:  S Siemonsen; K L Young; M Bester; J Sedlacik; C Heesen; J Fiehler; J-P Stellmann
Journal:  Clin Neuroradiol       Date:  2015-04-18       Impact factor: 3.649

7.  Magnetic Susceptibility from Quantitative Susceptibility Mapping Can Differentiate New Enhancing from Nonenhancing Multiple Sclerosis Lesions without Gadolinium Injection.

Authors:  Y Zhang; S A Gauthier; A Gupta; L Tu; J Comunale; G C-Y Chiang; W Chen; C A Salustri; W Zhu; Y Wang
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-30       Impact factor: 3.825

8.  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

9.  The formation of inflammatory demyelinated lesions in cerebral white matter.

Authors:  Pietro Maggi; Sheila M Cummings Macri; María I Gaitán; Emily Leibovitch; Jillian E Wholer; Heather L Knight; Mary Ellis; Tianxia Wu; Afonso C Silva; Luca Massacesi; Steven Jacobson; Susan Westmoreland; Daniel S Reich
Journal:  Ann Neurol       Date:  2014-08-21       Impact factor: 10.422

Review 10.  Advanced MRI and staging of multiple sclerosis lesions.

Authors:  Martina Absinta; Pascal Sati; Daniel S Reich
Journal:  Nat Rev Neurol       Date:  2016-04-29       Impact factor: 42.937

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