Literature DB >> 12937086

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

Marco Rovaris1, Federica Agosta, Maria Pia Sormani, Matilde Inglese, Vittorio Martinelli, Giancarlo Comi, Massimo Filippi.   

Abstract

The correlation between conventional MRI lesion load accumulation and multiple sclerosis clinical evolution is only modest. The assessment of brain parenchymal volume and of its changes over time may provide adjunctive MRI markers reflecting the more disabling aspects of multiple sclerosis pathology. Magnetization transfer (MT) MRI is sensitive to 'occult' multiple sclerosis-related brain damage and might also contribute to overcome the clinical/MRI paradox. In this study, we assessed the value of conventional and MT MRI-derived metrics in predicting the medium-term clinical evolution of patients with different multiple sclerosis phenotypes. We studied 73 patients, with relapsing-remitting multiple sclerosis (n = 34), secondary progressive multiple sclerosis (n = 19) and clinically isolated syndromes suggestive of multiple sclerosis (n = 20), and 16 healthy subjects. Brain dual-echo, T1-weighted (only in patients) and MT MRI scans were obtained at baseline and after 12 months. T2-hyperintense and T1-hypointense lesion volumes, normalized brain volume and average lesion MT ratio (MTR) were measured. MTR histograms from the whole brain tissue were also obtained. Clinical multiple sclerosis evolution and neurological disability were re-assessed in all patients after a median follow-up of 4.5 years. A multivariate analysis was performed to establish which clinical and MRI-derived variables were significant predictors of neurological deterioration at the end of the study period. At the end of follow-up, 34 patients showed significant neurological deterioration. The final multivariable model included average brain MTR percentage change after one year [P = 0.02, odds ratio (OR) = 0.86] and baseline T2-hyperintense lesion volume (P = 0.04, OR=1.04) as independent predictors of medium-term disability accumulation (r2 = 0.23). In this cohort of patients, abnormal values of average brain MTR changes showed a relatively high specificity (76.9%) and positive predictive value (59.1%) for Expanded Disability Status Scale score deterioration in individual cases. In patients with multiple sclerosis, a comprehensive estimation of the short-term changes of both conventional and MT MRI-detectable lesion burden might provide useful prognostic information for the medium-term clinical disease evolution.

Entities:  

Mesh:

Year:  2003        PMID: 12937086     DOI: 10.1093/brain/awg232

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


  28 in total

Review 1.  Imaging of multiple sclerosis: role in neurotherapeutics.

Authors:  Rohit Bakshi; Alireza Minagar; Zeenat Jaisani; Jerry S Wolinsky
Journal:  NeuroRx       Date:  2005-04

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.  Magnetization transfer ratio in lesions rather than normal-appearing brain relates to disability in patients with multiple sclerosis.

Authors:  Michael Amann; Athina Papadopoulou; Michaela Andelova; Stefano Magon; Nicole Mueller-Lenke; Yvonne Naegelin; Christoph Stippich; Ernst Wilhelm Radue; Oliver Bieri; Ludwig Kappos; Till Sprenger
Journal:  J Neurol       Date:  2015-06-05       Impact factor: 4.849

Review 4.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process.

Authors:  Àlex Rovira; Mike P Wattjes; Mar Tintoré; Carmen Tur; Tarek A Yousry; Maria P Sormani; Nicola De Stefano; Massimo Filippi; Cristina Auger; Maria A Rocca; Frederik Barkhof; Franz Fazekas; Ludwig Kappos; Chris Polman; David Miller; Xavier Montalban
Journal:  Nat Rev Neurol       Date:  2015-07-07       Impact factor: 42.937

5.  Multimodal evoked potentials to assess the evolution of multiple sclerosis: a longitudinal study.

Authors:  L Leocani; M Rovaris; F M Boneschi; S Medaglini; P Rossi; V Martinelli; S Amadio; G Comi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-05-30       Impact factor: 10.154

Review 6.  Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains.

Authors:  Andrew L Alexander; Samuel A Hurley; Alexey A Samsonov; Nagesh Adluru; Ameer Pasha Hosseinbor; Pouria Mossahebi; Do P M Tromp; Elizabeth Zakszewski; Aaron S Field
Journal:  Brain Connect       Date:  2012-01-27

Review 7.  Multiple sclerosis trial designs for the 21st century: building on recent lessons.

Authors:  Fred Lublin
Journal:  J Neurol       Date:  2005-11       Impact factor: 4.849

Review 8.  MRI evidence for multiple sclerosis as a diffuse disease of the central nervous system.

Authors:  Massimo Filippi; Maria Assunta Rocca
Journal:  J Neurol       Date:  2005-11       Impact factor: 4.849

Review 9.  The definition of non-responder to multiple sclerosis treatment: neuroimaging markers.

Authors:  Marco Rovaris
Journal:  Neurol Sci       Date:  2008-09       Impact factor: 3.307

10.  Clinical and conventional MRI predictors of disability and brain atrophy accumulation in RRMS. A large scale, short-term follow-up study.

Authors:  Sarlota Mesaros; Maria A Rocca; Maria P Sormani; Arnaud Charil; Giancarlo Comi; Massimo Filippi
Journal:  J Neurol       Date:  2008-07-03       Impact factor: 4.849

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.