Literature DB >> 10465501

Brain MRI correlates of magnetization transfer imaging metrics in patients with multiple sclerosis.

M Rovaris1, M Bozzali, M Rodegher, C Tortorella, G Comi, M Filippi.   

Abstract

Previous studies suggested that magnetization transfer ratio (MTR) histograms are highly correlated with other magnetic resonance imaging (MRI) measures and can be used as a reliable method for quantifying overall disease burden in multiple sclerosis (MS). However, the relative influence of burden and severity of macroscopic MS lesions and degree of brain atrophy on various MTR histogram parameters has not yet been fully elucidated. Aim of the present study was to investigate which MRI measure best predicts the values of MTR histogram parameters in MS patients. Forty-two MS patients underwent brain dual-echo. T1-weighted and magnetization transfer imaging (MTI) MRI scans. Hyperintense lesion load (LL) on proton density (PD)-weighted and hypointense LL on T1-weighted images were measured using a local thresholding technique. A measure of brain atrophy was derived from T1-weighted images by computing the volume of brain tissue segmented from a slab of five consecutive slices rostral to the velum interpositum. On MTI scans, MTR histogram analysis was performed for the whole brain and average lesion MTR was also calculated. PD-weighted LL, T1-weighted LL and brain volume were significantly correlated with several MTI-derived measures. When a multivariate analysis was performed, brain volume alone significantly predicted the values of all the MTR histogram-derived measures (P values ranged from 0.003 to 0.0002). The ratio between hypointense T1-weighted and hyperintense PD-weighted LL significantly predicted average lesion MTR (P<0.05). Our results confirm that MTR can be used as a reliable method to assess both the overall disease burden and the individual lesion intrinsic nature in MS patients. The significant influence of brain atrophy on MTR histogram parameters supports the concept that this method also provides information on the loss of brain parenchyma in MS.

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Year:  1999        PMID: 10465501     DOI: 10.1016/s0022-510x(99)00113-6

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  8 in total

1.  A standardised method for measuring magnetisation transfer ratio on MR imagers from different manufacturers--the EuroMT sequence.

Authors:  G J Barker; W G Schreiber; A Gass; J P Ranjeva; A Campi; J H T M van Waesberghe; J-M Franconi; H C Watt; P S Tofts
Journal:  MAGMA       Date:  2005-03-22       Impact factor: 2.310

2.  A brain magnetization transfer MRI study with a clinical follow up of about four years in patients with clinically isolated syndromes suggestive of multiple sclerosis.

Authors:  Antonio Gallo; Marco Rovaris; Beatrice Benedetti; Maria Pia Sormani; Roberto Riva; Angelo Ghezzi; Vittorio Martinelli; Andrea Falini; Giancarlo Comi; Massimo Filippi
Journal:  J Neurol       Date:  2007-02-14       Impact factor: 4.849

3.  Correlation of multiple sclerosis measures derived from T2-weighted, T1-weighted, magnetization transfer, and diffusion tensor MR imaging.

Authors:  G Iannucci; M Rovaris; L Giacomotti; G Comi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2001-09       Impact factor: 3.825

4.  Comprehensive brain analysis with automated high-resolution magnetization transfer measurements.

Authors:  Ying Wu; Hongyan Du; Pippa Storey; Christopher Glielmi; Fiona Malone; Shawn Sidharthan; Ann Ragin; Paul S Tofts; Robert R Edelman
Journal:  J Magn Reson Imaging       Date:  2011-10-11       Impact factor: 4.813

Review 5.  Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis.

Authors:  Elizabeth N York; Michael J Thrippleton; Rozanna Meijboom; David P J Hunt; Adam D Waldman
Journal:  Brain Commun       Date:  2022-04-04

Review 6.  Neuropsychological impairment in systemic lupus erythematosus: a comparison with multiple sclerosis.

Authors:  R H B Benedict; J L Shucard; R Zivadinov; D W Shucard
Journal:  Neuropsychol Rev       Date:  2008-06-03       Impact factor: 7.444

7.  Sources of variation in multi-centre brain MTR histogram studies: body-coil transmission eliminates inter-centre differences.

Authors:  P S Tofts; S C A Steens; M Cercignani; F Admiraal-Behloul; P A M Hofman; M J P van Osch; W M Teeuwisse; D J Tozer; J H T M van Waesberghe; R Yeung; G J Barker; M A van Buchem
Journal:  MAGMA       Date:  2006-09-07       Impact factor: 2.310

8.  Magnetisation transfer ratio in the normal appearing white matter predicts progression of disability over 1 year in early primary progressive multiple sclerosis.

Authors:  Z Khaleeli; J Sastre-Garriga; O Ciccarelli; D H Miller; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-02-07       Impact factor: 10.154

  8 in total

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