Literature DB >> 16951409

Magnetization transfer MRI metrics predict the accumulation of disability 8 years later in patients with multiple sclerosis.

Federica Agosta1, Marco Rovaris, Elisabetta Pagani, Maria Pia Sormani, Giancarlo Comi, Massimo Filippi.   

Abstract

In multiple sclerosis, the relationship between conventional MRI findings and the clinical evolution of the disease is weak. Magnetization transfer (MT) MRI can provide markers reflecting the more disabling features of multiple sclerosis pathology. The aim of the present study was to assess the value of MT MRI quantities and their short-term changes in predicting the long-term accumulation of disability in multiple sclerosis patients. Conventional and MT MRI scans of the brain were obtained at baseline and after 12 months in 73 patients, who were followed prospectively with clinical visits for a median period of 8 years. At baseline and at 12 months, T2-hyperintense and T1-hypointense lesion volume, normalized brain volume [with grey (GM) and white matter (WM) fractions] and average lesion MT ratio (MTR) were measured. At the two time points, metrics derived from the MTR histograms of the whole-brain parenchyma, GM and normal-appearing WM were also computed. A multivariate analysis, adjusted for follow-up duration, was performed to establish which variables were significant predictors of long-term neurological deterioration. At the end of follow-up, 44 patients (60%) showed a significant disability worsening. A multivariable model included baseline GM MTR histogram peak height [P = 0.029, odds ratio (OR) = 0.97], and average lesion MTR percentage change after 12 months (P = 0.016, OR = 0.88) as independent predictors of disability worsening at 8 years (r2 = 0.28). The discriminating ability of such a model in predicting the individual patients' outcome was 66%. MT MRI provides useful prognostic markers for the prediction of the long-term evolution of multiple sclerosis. This study also suggests that GM damage is one of the key factors associated with disability accumulation in this 'white matter' condition.

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Year:  2006        PMID: 16951409     DOI: 10.1093/brain/awl208

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  45 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  Non-Gaussian diffusion MRI of gray matter is associated with cognitive impairment in multiple sclerosis.

Authors:  M Bester; J H Jensen; J S Babb; A Tabesh; L Miles; J Herbert; R I Grossman; M Inglese
Journal:  Mult Scler       Date:  2014-11-12       Impact factor: 6.312

3.  Multiple sclerosis normal-appearing white matter: pathology-imaging correlations.

Authors:  Natalia M Moll; Anna M Rietsch; Smitha Thomas; Amy J Ransohoff; Jar-Chi Lee; Robert Fox; Ansi Chang; Richard M Ransohoff; Elizabeth Fisher
Journal:  Ann Neurol       Date:  2011-11       Impact factor: 10.422

Review 4.  Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.

Authors:  Christian Enzinger; Frederik Barkhof; Olga Ciccarelli; Massimo Filippi; Ludwig Kappos; Maria A Rocca; Stefan Ropele; Àlex Rovira; Torben Schneider; Nicola de Stefano; Hugo Vrenken; Claudia Wheeler-Kingshott; Jens Wuerfel; Franz Fazekas
Journal:  Nat Rev Neurol       Date:  2015-11-03       Impact factor: 42.937

5.  Magnetic resonance imaging as a surrogate outcome for multiple sclerosis relapses.

Authors:  J Petkau; S C Reingold; U Held; G R Cutter; T R Fleming; M D Hughes; D H Miller; H F McFarland; J S Wolinsky
Journal:  Mult Scler       Date:  2008-06-05       Impact factor: 6.312

Review 6.  MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy.

Authors:  Massimo Filippi; M A Rocca
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-31       Impact factor: 3.825

Review 7.  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

8.  A multiparametric evaluation of regional brain damage in patients with primary progressive multiple sclerosis.

Authors:  Antonia Ceccarelli; Maria A Rocca; Paola Valsasina; Mariaemma Rodegher; Elisabetta Pagani; Andrea Falini; Giancarlo Comi; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

9.  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

10.  Statistical evaluations of the reproducibility and reliability of 3-tesla high resolution magnetization transfer brain images: a pilot study on healthy subjects.

Authors:  Kelly H Zou; Hongyan Du; Shawn Sidharthan; Lisa M Detora; Yunmei Chen; Ann B Ragin; Robert R Edelman; Ying Wu
Journal:  Int J Biomed Imaging       Date:  2010-02-09
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