Literature DB >> 19277621

High field MRI in the diagnosis of multiple sclerosis: high field-high yield?

Mike P Wattjes1, Frederik Barkhof.   

Abstract

Following the approval of the U.S. Food and Drug Administration (FDA), high field magnetic resonance imaging (MRI) has been increasingly incorporated into the clinical setting. Especially in the field of neuroimaging, the number of high field MRI applications has been increased dramatically. Taking advantage on increased signal-to-noise ratio (SNR) and chemical shift, higher magnetic field strengths offer new perspectives particularly in brain imaging and also challenges in terms of several technical and physical consequences. Over the past few years, many applications of high field MRI in patients with suspected and definite multiple sclerosis (MS) have been reported including conventional and quantitative MRI methods. Conventional pulse sequences at 3 T offers higher lesion detection rates when compared to 1.5 T, particularly in anatomic regions which are important for the diagnosis of patients with MS. MR spectroscopy at 3 T is characterized by an improved spectral resolution due to increased chemical shift allowing a better quantification of metabolites. It detects significant axonal damage already in patients presenting with clinically isolated syndromes and can quantify metabolites of special interest such as glutamate which is technically difficult to quantify at lower field strengths. Furthermore, the higher susceptibility and SNR offer advantages in the field of functional MRI and diffusion tensor imaging. The recently introduced new generation of ultra-high field systems beyond 3 T allows scanning in submillimeter resolution and gives new insights into in vivo MS pathology on MRI. The objectives of this article are to review the current knowledge and level of evidence concerning the application of high field MRI in MS and to give some ideas of research perspectives in the future.

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Year:  2009        PMID: 19277621     DOI: 10.1007/s00234-009-0512-0

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  102 in total

1.  Interscanner variation in brain MRI lesion load measurements in MS: implications for clinical trials.

Authors:  M Filippi; J H van Waesberghe; M A Horsfield; S Bressi; C Gasperini; T A Yousry; M L Gawne-Cain; S P Morrissey; M A Rocca; F Barkhof; G J Lycklama à Nijeholt; S Bastianello; D H Miller
Journal:  Neurology       Date:  1997-08       Impact factor: 9.910

2.  Does high-field MR imaging have an influence on the classification of patients with clinically isolated syndromes according to current diagnostic mr imaging criteria for multiple sclerosis?

Authors:  M P Wattjes; M Harzheim; C K Kuhl; J Gieseke; S Schmidt; L Klotz; T Klockgether; H H Schild; G G Lutterbey
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

Review 3.  Technical challenges and opportunities of whole-body magnetic resonance imaging at 3T.

Authors:  Jürgen Machann; Heinz-Peter Schlemmer; Fritz Schick
Journal:  Phys Med       Date:  2008-03-04       Impact factor: 2.685

4.  Normal regional fractional anisotropy and apparent diffusion coefficient of the brain measured on a 3 T MR scanner.

Authors:  Christabel E C Lee; Laura E Danielian; David Thomasson; Eva H Baker
Journal:  Neuroradiology       Date:  2008-08-13       Impact factor: 2.804

5.  Human gray matter: feasibility of single-slab 3D double inversion-recovery high-spatial-resolution MR imaging.

Authors:  Petra J W Pouwels; Joost P A Kuijer; John P Mugler; Charles R G Guttmann; Frederik Barkhof
Journal:  Radiology       Date:  2006-10-19       Impact factor: 11.105

6.  Comparison of MR pulse sequences in the detection of multiple sclerosis lesions.

Authors:  T A Yousry; M Filippi; C Becker; M A Horsfield; R Voltz
Journal:  AJNR Am J Neuroradiol       Date:  1997-05       Impact factor: 3.825

7.  Fluid-attenuated inversion recovery magnetic resonance imaging detects cortical and juxtacortical multiple sclerosis lesions.

Authors:  R Bakshi; S Ariyaratana; R H Benedict; L Jacobs
Journal:  Arch Neurol       Date:  2001-05

8.  Prognostic value of high-field proton magnetic resonance spectroscopy in patients presenting with clinically isolated syndromes suggestive of multiple sclerosis.

Authors:  Mike P Wattjes; Michael Harzheim; Götz G Lutterbey; Manuela Bogdanow; Stephan Schmidt; Hans H Schild; Frank Träber
Journal:  Neuroradiology       Date:  2007-11-03       Impact factor: 2.804

9.  Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases.

Authors:  Kathryn E Hammond; Janine M Lupo; Duan Xu; Meredith Metcalf; Douglas A C Kelley; Daniel Pelletier; Susan M Chang; Pratik Mukherjee; Daniel B Vigneron; Sarah J Nelson
Journal:  Neuroimage       Date:  2007-11-07       Impact factor: 6.556

10.  Axonal damage but no increased glial cell activity in the normal-appearing white matter of patients with clinically isolated syndromes suggestive of multiple sclerosis using high-field magnetic resonance spectroscopy.

Authors:  M P Wattjes; M Harzheim; G G Lutterbey; L Klotz; H H Schild; F Träber
Journal:  AJNR Am J Neuroradiol       Date:  2007-09       Impact factor: 3.825

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  25 in total

Review 1.  MRI monitoring of immunomodulation in relapse-onset multiple sclerosis trials.

Authors:  Frederik Barkhof; Jack H Simon; Franz Fazekas; Marco Rovaris; Ludwig Kappos; Nicola de Stefano; Chris H Polman; John Petkau; Ernst W Radue; Maria P Sormani; David K Li; Paul O'Connor; Xavier Montalban; David H Miller; Massimo Filippi
Journal:  Nat Rev Neurol       Date:  2011-12-06       Impact factor: 42.937

2.  Evaluation of 39 medical implants at 7.0 T.

Authors:  David X Feng; Joseph P McCauley; Fea K Morgan-Curtis; Redoan A Salam; David R Pennell; Mary E Loveless; Adrienne N Dula
Journal:  Br J Radiol       Date:  2015-10-20       Impact factor: 3.039

Review 3.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process.

Authors:  Àlex Rovira; Mike P Wattjes; Mar Tintoré; Carmen Tur; Tarek A Yousry; Maria P Sormani; Nicola De Stefano; Massimo Filippi; Cristina Auger; Maria A Rocca; Frederik Barkhof; Franz Fazekas; Ludwig Kappos; Chris Polman; David Miller; Xavier Montalban
Journal:  Nat Rev Neurol       Date:  2015-07-07       Impact factor: 42.937

4.  Presence of a central vein within white matter lesions on susceptibility weighted imaging: a specific finding for multiple sclerosis?

Authors:  Nina Lummel; Tobias Boeckh-Behrens; Veronika Schoepf; Michael Burke; Hartmut Brückmann; Jennifer Linn
Journal:  Neuroradiology       Date:  2010-06-29       Impact factor: 2.804

5.  Clinical application of multi-contrast 7-T MR imaging in multiple sclerosis: increased lesion detection compared to 3 T confined to grey matter.

Authors:  Wolter L de Graaf; Iris D Kilsdonk; Alexandra Lopez-Soriano; Jaco J M Zwanenburg; Fredy Visser; Chris H Polman; Jonas A Castelijns; Jeroen J G Geurts; Petra J W Pouwels; Peter R Luijten; Frederik Barkhof; Mike P Wattjes
Journal:  Eur Radiol       Date:  2012-08-17       Impact factor: 5.315

6.  Improved differentiation between MS and vascular brain lesions using FLAIR* at 7 Tesla.

Authors:  Iris D Kilsdonk; Mike P Wattjes; Alexandra Lopez-Soriano; Joost P A Kuijer; Marcus C de Jong; Wolter L de Graaf; Mandy M A Conijn; Chris H Polman; Peter R Luijten; Jeroen J G Geurts; Mirjam I Geerlings; Frederik Barkhof
Journal:  Eur Radiol       Date:  2013-12-09       Impact factor: 5.315

7.  Morphological features of MS lesions on FLAIR* at 7 T and their relation to patient characteristics.

Authors:  Iris D Kilsdonk; Alexandra Lopez-Soriano; Joost P A Kuijer; Wolter L de Graaf; Jonas A Castelijns; Chris H Polman; Peter R Luijten; Jeroen J J G Geurts; Frederik Barkhof; Mike P Wattjes
Journal:  J Neurol       Date:  2014-04-29       Impact factor: 4.849

8.  Multicontrast MR imaging at 7T in multiple sclerosis: highest lesion detection in cortical gray matter with 3D-FLAIR.

Authors:  I D Kilsdonk; W L de Graaf; A Lopez Soriano; J J Zwanenburg; F Visser; J P A Kuijer; J J G Geurts; P J W Pouwels; C H Polman; J A Castelijns; P R Luijten; F Barkhof; M P Wattjes
Journal:  AJNR Am J Neuroradiol       Date:  2012-10-04       Impact factor: 3.825

Review 9.  Imaging in Pediatric Multiple Sclerosis : An Iconographic Review.

Authors:  Gonzalo Barraza; Kumaran Deiva; Béatrice Husson; Catherine Adamsbaum
Journal:  Clin Neuroradiol       Date:  2020-07-16       Impact factor: 3.649

10.  Improved in vivo detection of cortical lesions in multiple sclerosis using double inversion recovery MR imaging at 3 Tesla.

Authors:  Birgit Simon; Stephan Schmidt; Carsten Lukas; Jürgen Gieseke; Frank Träber; Dirk L Knol; Winfried A Willinek; Jeroen J G Geurts; Hans H Schild; Frederik Barkhof; Mike P Wattjes
Journal:  Eur Radiol       Date:  2010-01-22       Impact factor: 5.315

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