Literature DB >> 16365731

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

Rainald Bachmann1, Ralf Reilmann, Wolfram Schwindt, Harald Kugel, Walter Heindel, Stefan Krämer.   

Abstract

The purpose of this study was (1) to identify the optimal TE for FLAIR-imaging at 3.0 T assessing three different echo times qualitatively and quantitatively and (2) to evaluate the diagnostic efficacy of high-field 3.0-T FLAIR imaging in comparison to conventional 1.5-T MRI in patients with multiple sclerosis (MS). Twenty-two patients with clinically definite MS underwent axial FLAIR imaging at 1.5 and 3.0 T. In 15 of these patients further FLAIR images with a TE of 100, 120 and 140 ms were acquired at 3.0 T. Imaging protocols were modified for 3.0 T using the increased SNR to acquire more and thinner slices while maintaining a comparable scan time. FLAIR images of either different TEs or different field strengths were ranked for each patient qualitatively by two observers. Signal intensity measurements were obtained in the gray and white matter, CSF and representative white matter lesions (WML). At 3.0 T, a TE of 100 and 120 ms proved superior in all qualitative categories when compared to 140 ms. In the quantitative assessment CNR of WML was highest for 120 ms (CNR: 19.8), intermediate for 100 ms (17.2) and lowest for 140 ms (15.3) (P<0.003). For lesion conspicuity and overall image quality, 3.0 T was judged superior to 1.5 T, whereas no difference was found for gray-white differentiation and image noise. With regard to artifacts, 3.0 T was inferior to 1.5 T. The CNR for WML was slightly lower at 3.0 T, but the difference was not significant (22.6 vs. 28.0, P=ns). However, significantly more WML were detected at 3.0 T than at 1.5 T (483 vs. 341, P<0.0001). The optimal echo time for FLAIR imaging at 3.0 T is 120 ms due to the significantly higher CNR of WML. By trading the higher SNR at 3.0 T for better spatial resolution, nearly the same CNR level could be maintained, increasing lesion detectability at 3.0 T compared to 1.5 T. Thus, high-field MRI may further strengthen the role of MRI as the most sensitive paraclinical test for the early diagnosis of MS.

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Year:  2005        PMID: 16365731     DOI: 10.1007/s00330-005-0070-8

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  28 in total

1.  NMR relaxation times in the human brain at 3.0 tesla.

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2.  Influence of imaging parameters on high-intensity cerebrospinal fluid artifacts in fast-FLAIR MR imaging.

Authors:  Hsiu-Mei Wu; David M Yousem; Hsiao-Wen Chung; Wan-Yuo Guo; Cheng-Yen Chang; Cheng-Yu Chen
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Review 4.  The role of MRI in the diagnosis of MS.

Authors:  P M Pretorius; G Quaghebeur
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6.  MR imaging field strength: prospective evaluation of the diagnostic accuracy of MR for diagnosis of multiple sclerosis at 0.5 and 1.5 T.

Authors:  D H Lee; A D Vellet; M Eliasziw; L Vidito; G C Ebers; G P Rice; L Hewett; S Dunlavy
Journal:  Radiology       Date:  1995-01       Impact factor: 11.105

7.  Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis.

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

Authors:  R Bakshi; S Ariyaratana; R H Benedict; L Jacobs
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9.  Comparison of multiple sclerosis lesions at 1.5 and 3.0 Tesla.

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  22 in total

Review 1.  A systematic review of the utility of 1.5 versus 3 Tesla magnetic resonance brain imaging in clinical practice and research.

Authors:  Joanna M Wardlaw; Will Brindle; Ana M Casado; Kirsten Shuler; Moira Henderson; Brenda Thomas; Jennifer Macfarlane; Susana Muñoz Maniega; Katherine Lymer; Zoe Morris; Cyril Pernet; William Nailon; Trevor Ahearn; Abdul Nashirudeen Mumuni; Carlos Mugruza; John McLean; Goultchira Chakirova; Yuehui Terry Tao; Johanna Simpson; Andrew C Stanfield; Harriet Johnston; Jehill Parikh; Natalie A Royle; Janet De Wilde; Mark E Bastin; Nick Weir; Andrew Farrall; Maria C Valdes Hernandez
Journal:  Eur Radiol       Date:  2012-06-09       Impact factor: 5.315

2.  Evaluation of image quality of a 32-channel versus a 12-channel head coil at 1.5T for MR imaging of the brain.

Authors:  P T Parikh; G S Sandhu; K A Blackham; M D Coffey; D Hsu; K Liu; J Jesberger; M Griswold; J L Sunshine
Journal:  AJNR Am J Neuroradiol       Date:  2010-12-16       Impact factor: 3.825

3.  Central trigeminal involvement in multiple sclerosis using high-resolution MRI at 3 T.

Authors:  R J Mills; C A Young; E T Smith
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Review 4.  Proton MR spectroscopy of the brain at 3 T: an update.

Authors:  Alfonso Di Costanzo; Francesca Trojsi; Michela Tosetti; Timo Schirmer; Silke M Lechner; Teresa Popolizio; Tommaso Scarabino
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5.  Optimal 3-T MRI for depiction of the finger A2 pulley: comparison between T1-weighted, fat-saturated T2-weighted and gadolinium-enhanced fat-saturated T1-weighted sequences.

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6.  Signal intensity of motor and sensory cortices on T2-weighted and FLAIR images: intraindividual comparison of 1.5T and 3T MRI.

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Journal:  Eur Radiol       Date:  2008-07-19       Impact factor: 5.315

Review 7.  MRI in multiple sclerosis: what's inside the toolbox?

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

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9.  Comparison of image quality characteristics on Silent MR versus conventional MR imaging of brain lesions at 3 Tesla.

Authors:  Susanne Ohlmann-Knafo; Melanie Morlo; David Laszlo Tarnoki; Adam Domonkos Tarnoki; Barbara Grabowski; Melanie Kaspar; Dirk Pickuth
Journal:  Br J Radiol       Date:  2016-10-05       Impact factor: 3.039

10.  3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis.

Authors:  Mohit Neema; Daniel Goldberg-Zimring; Zachary D Guss; Brian C Healy; Charles R G Guttmann; Maria K Houtchens; Howard L Weiner; Mark A Horsfield; David B Hackney; David C Alsop; Rohit Bakshi
Journal:  Neuroimage       Date:  2009-03-10       Impact factor: 6.556

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