Literature DB >> 9763383

MR identification of white matter abnormalities in multiple sclerosis: a comparison between 1.5 T and 4 T.

M D Keiper1, R I Grossman, J A Hirsch, L Bolinger, I L Ott, L J Mannon, C P Langlotz, D L Kolson.   

Abstract

BACKGROUND AND
PURPOSE: Although MR spectroscopy and functional MR imaging of the brain have been successful at 4 T, conventional fast spin-echo imaging of the brain at 4 T has not been adequately evaluated. The purpose of this study was to compare the detection of white matter abnormalities in multiple sclerosis (MS) at 1.5 T and 4 T.
METHODS: Fifteen patients with clinically definite MS were imaged at both 1.5 T and 4 T within a 1-week period. Comparison was made between fast spin-echo long-TR images at both field strengths. Pulse sequences were tailored to maximize resolution and signal-to-noise ratio in clinically relevant imaging times (< 7 min). Four interpreters independently reviewed the images obtained at both field strengths in separate sessions and evaluated them for lesion identification, size, characterization, and subjective resolution. Differences in interpretations at 1.5 T and 4 T were subsequently recorded.
RESULTS: Images obtained at 4 T showed a mean of 88 more lesions as compared with images obtained at 1.5 T. All the lesions measured less than 5 mm and were typically aligned along perivascular spaces. Twenty-five consensually identified lesions on 4-T images were not seen at all on 1.5-T images. Moreover, 4-T images showed 56 additional consensually identified lesions, which were indistinct and seen only in retrospect on 1.5-T images. These lesions were frequently (n = 48) identified in large confluent areas of white matter signal intensity abnormality at 1.5 T. All observers also agreed that 4-T images subjectively enhanced the perception of normal perivascular spaces and small perivascular lesions.
CONCLUSION: MR imaging at 4 T can depict white matter abnormalities in MS patients not detectable at 1.5 T through higher resolution with comparable signal-to-noise ratio and imaging times.

Entities:  

Mesh:

Year:  1998        PMID: 9763383      PMCID: PMC8338677     

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


  20 in total

1.  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

2.  Higher sensitivity in the detection of inflammatory brain lesions in patients with clinically isolated syndromes suggestive of multiple sclerosis using high field MRI: an intraindividual comparison of 1.5 T with 3.0 T.

Authors:  Mike P Wattjes; Götz G Lutterbey; Michael Harzheim; Jürgen Gieseke; Frank Träber; Luisa Klotz; Thomas Klockgether; Hans H Schild
Journal:  Eur Radiol       Date:  2006-04-29       Impact factor: 5.315

3.  FLAIR imaging for multiple sclerosis: a comparative MR study at 1.5 and 3.0 Tesla.

Authors:  Rainald Bachmann; Ralf Reilmann; Wolfram Schwindt; Harald Kugel; Walter Heindel; Stefan Krämer
Journal:  Eur Radiol       Date:  2005-12-20       Impact factor: 5.315

Review 4.  MRI in multiple sclerosis: what's inside the toolbox?

Authors:  Mohit Neema; James Stankiewicz; Ashish Arora; Zachary D Guss; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

5.  Changes in the normal appearing brain tissue and cognitive impairment in multiple sclerosis.

Authors:  M Filippi; C Tortorella; M Rovaris; M Bozzali; F Possa; M P Sormani; G Iannucci; G Comi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-02       Impact factor: 10.154

6.  Spinal cord lesions and clinical status in multiple sclerosis: A 1.5 T and 3 T MRI study.

Authors:  J M Stankiewicz; M Neema; D C Alsop; B C Healy; A Arora; G J Buckle; T Chitnis; C R G Guttmann; D Hackney; R Bakshi
Journal:  J Neurol Sci       Date:  2009-04-15       Impact factor: 3.181

7.  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

8.  Infratentorial lesion volume correlates with sensory functional system in multiple sclerosis patients: a 3.0-Tesla MRI study.

Authors:  C C Quattrocchi; A Cherubini; G Luccichenti; M G Grasso; U Nocentini; B Beomonte Zobel; U Sabatini
Journal:  Radiol Med       Date:  2009-12-16       Impact factor: 3.469

9.  Brain MRI lesion load at 1.5T and 3T versus clinical status in multiple sclerosis.

Authors:  James M Stankiewicz; Bonnie I Glanz; Brian C Healy; Ashish Arora; Mohit Neema; Ralph H B Benedict; Zachary D Guss; Shahamat Tauhid; Guy J Buckle; Maria K Houtchens; Samia J Khoury; Howard L Weiner; Charles R G Guttmann; Rohit Bakshi
Journal:  J Neuroimaging       Date:  2011-04       Impact factor: 2.486

Review 10.  High field MRI in the diagnosis of multiple sclerosis: high field-high yield?

Authors:  Mike P Wattjes; Frederik Barkhof
Journal:  Neuroradiology       Date:  2009-03-11       Impact factor: 2.804

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