Literature DB >> 17508141

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.

Antonio Gallo1, Marco Rovaris, Beatrice Benedetti, Maria Pia Sormani, Roberto Riva, Angelo Ghezzi, Vittorio Martinelli, Andrea Falini, Giancarlo Comi, Massimo Filippi.   

Abstract

Whereas it is important to gain prognostic information in patients with clinically isolated syndromes (CIS) suggestive of multiple sclerosis (MS), there is still a lack of definitive data about the significance of normal-appearing white (NAWM) and gray (NAGM) matter damage in these patients. The aim of this study was to clarify the role of magnetization transfer magnetic resonance imaging (MT MRI) in assessing "occult" damage at the earliest clinical stage of MS. Dual echo, post-contrast T1-weighted, and MT MRI were obtained from 43 CIS patients with paraclinical evidence of spatial disease dissemination within 3 months from disease onset and from 22 controls. In patients, conventional MRI was obtained after 3 and 12 months from the baseline assessment, to detect disease dissemination in time (DIT). A neurological examination was also conducted to ascertain the occurrence of relapses for an average follow up period of 1389 (range = 420-1847) days. MTR maps were derived and NAWM and NAGM MT ratio (MTR) histograms were analyzed. During the follow up, 30 patients showed MRI evidence of DIT, and 21 experienced a relapse. T2 lesion volume (LV) was significantly higher in patients with DIT than in those without (p=0.005). MTR histogram variables did not significantly differ between patients with MRI or clinical DIT. T2 LV was the only significant predictor of clinical DIT at follow-up (p=0.001). This study shows that MT MRI-detectable damage to NAWM and NAGM may not be an important feature of all patients at presentation with a CIS highly suggestive of MS and that such a damage may develop with subsequent disease evolution.

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Year:  2007        PMID: 17508141     DOI: 10.1007/s00415-006-0283-z

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  34 in total

1.  Reproducibility of magnetization transfer ratio histogram-derived measures of the brain in healthy volunteers.

Authors:  M P Sormani; G Iannucci; M A Rocca; G Mastronardo; M Cercignani; L Minicucci; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2000-01       Impact factor: 3.825

2.  Assessment of normal-appearing white and gray matter in patients with primary progressive multiple sclerosis: a diffusion-tensor magnetic resonance imaging study.

Authors:  Marco Rovaris; Marco Bozzali; Giuseppe Iannucci; Angelo Ghezzi; Domenico Caputo; Enrico Montanari; Antonio Bertolotto; Roberto Bergamaschi; Ruggero Capra; Giovanni Luigi Mancardi; Vittorio Martinelli; Giancarlo Comi; Massimo Filippi
Journal:  Arch Neurol       Date:  2002-09

3.  Conventional and magnetization transfer MRI predictors of clinical multiple sclerosis evolution: a medium-term follow-up study.

Authors:  Marco Rovaris; Federica Agosta; Maria Pia Sormani; Matilde Inglese; Vittorio Martinelli; Giancarlo Comi; Massimo Filippi
Journal:  Brain       Date:  2003-08-22       Impact factor: 13.501

4.  MRI/MRS of corpus callosum in patients with clinically isolated syndrome suggestive of multiple sclerosis.

Authors:  J P Ranjeva; J Pelletier; S Confort-Gouny; D Ibarrola; B Audoin; Y Le Fur; P Viout; A Ali Chérif; P J Cozzone
Journal:  Mult Scler       Date:  2003-12       Impact factor: 6.312

Review 5.  Clinically isolated syndromes suggestive of multiple sclerosis, part 2: non-conventional MRI, recovery processes, and management.

Authors:  David Miller; Frederik Barkhof; Xavier Montalban; Alan Thompson; Massimo Filippi
Journal:  Lancet Neurol       Date:  2005-06       Impact factor: 44.182

Review 6.  Clinically isolated syndromes suggestive of multiple sclerosis, part I: natural history, pathogenesis, diagnosis, and prognosis.

Authors:  David Miller; Frederik Barkhof; Xavier Montalban; Alan Thompson; Massimo Filippi
Journal:  Lancet Neurol       Date:  2005-05       Impact factor: 44.182

7.  Magnetization transfer imaging in patients with clinically isolated syndromes suggestive of multiple sclerosis.

Authors:  P A Brex; S M Leary; G T Plant; A J Thompson; D H Miller
Journal:  AJNR Am J Neuroradiol       Date:  2001-05       Impact factor: 3.825

8.  Normal-appearing brain tissue MTR histograms in clinically isolated syndromes suggestive of MS.

Authors:  A Traboulsee; J Dehmeshki; P A Brex; C M Dalton; D Chard; G J Barker; G T Plant; D H Miller
Journal:  Neurology       Date:  2002-07-09       Impact factor: 9.910

9.  Early development of multiple sclerosis is associated with progressive grey matter atrophy in patients presenting with clinically isolated syndromes.

Authors:  Catherine M Dalton; Declan T Chard; Gerard R Davies; Katherine A Miszkiel; Dan R Altmann; Kryshani Fernando; Gordon T Plant; Alan J Thompson; David H Miller
Journal:  Brain       Date:  2004-03-03       Impact factor: 13.501

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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  3 in total

Review 1.  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 2.  The prognostic utility of MRI in clinically isolated syndrome: a literature review.

Authors:  C Odenthal; A Coulthard
Journal:  AJNR Am J Neuroradiol       Date:  2014-05-15       Impact factor: 3.825

3.  Predicting outcome in clinically isolated syndrome using machine learning.

Authors:  V Wottschel; D C Alexander; P P Kwok; D T Chard; M L Stromillo; N De Stefano; A J Thompson; D H Miller; O Ciccarelli
Journal:  Neuroimage Clin       Date:  2014-12-04       Impact factor: 4.881

  3 in total

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