Literature DB >> 24831592

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

C Odenthal1, A Coulthard2.   

Abstract

For patients presenting with clinically isolated syndrome, the treating clinician needs to advise the patient on the probability of conversion to clinically definite multiple sclerosis. MR imaging may give useful prognostic information, and there is large body of literature pertaining to the use of MR imaging in assessing patients presenting with clinically isolated syndrome. This literature review evaluates the accuracy of MR imaging in predicting which patients with clinically isolated syndrome will go on to develop long-term disease and/or disability. New and emerging MR imaging technologies and their applicability to patients with clinically isolated syndrome are also considered.
© 2015 by American Journal of Neuroradiology.

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Year:  2014        PMID: 24831592      PMCID: PMC8013042          DOI: 10.3174/ajnr.A3954

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  98 in total

1.  Brainstem lesions in clinically isolated syndromes.

Authors:  M Tintore; A Rovira; G Arrambide; R Mitjana; J Río; C Auger; C Nos; M C Edo; J Castilló; A Horga; F Perez-Miralles; E Huerga; M Comabella; J Sastre-Garriga; X Montalban
Journal:  Neurology       Date:  2010-11-23       Impact factor: 9.910

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.  A voxel-based morphometry study of grey matter loss in MS patients with different clinical phenotypes.

Authors:  Antonia Ceccarelli; Maria A Rocca; Elisabetta Pagani; Bruno Colombo; Vittorio Martinelli; Giancarlo Comi; Massimo Filippi
Journal:  Neuroimage       Date:  2008-04-20       Impact factor: 6.556

4.  Brain plasticity in relapsing-remitting multiple sclerosis: evidence from resting-state fMRI.

Authors:  Yaou Liu; Peipeng Liang; Yunyun Duan; Xiuqin Jia; Chunshui Yu; Min Zhang; Fei Wang; Mo Zhang; Huiqing Dong; Jing Ye; Helmut Butzkueven; Kuncheng Li
Journal:  J Neurol Sci       Date:  2011-02-23       Impact factor: 3.181

5.  Disease-associated inflammatory biomarker profiles in blood in different subtypes of multiple sclerosis: prospective clinical and MRI follow-up study.

Authors:  Sanna Hagman; Minna Raunio; Maija Rossi; Prasun Dastidar; Irina Elovaara
Journal:  J Neuroimmunol       Date:  2011-03-11       Impact factor: 3.478

6.  Outcomes assessment in multiple sclerosis clinical trials: a critical analysis.

Authors:  J N Whitaker; H F McFarland; P Rudge; S C Reingold
Journal:  Mult Scler       Date:  1995-04       Impact factor: 6.312

7.  Onset and underpinnings of white matter atrophy at the very early stage of multiple sclerosis--a two-year longitudinal MRI/MRSI study of corpus callosum.

Authors:  B Audoin; D Ibarrola; I Malikova; E Soulier; S Confort-Gouny; M V Au Duong; F Reuter; P Viout; A Ali-Chérif; P J Cozzone; J Pelletier; J P Ranjeva
Journal:  Mult Scler       Date:  2007-01       Impact factor: 6.312

8.  A longitudinal study of MR diffusion changes in normal appearing white matter of patients with early multiple sclerosis.

Authors:  Francesca Caramia; Patrizia Pantano; Silvia Di Legge; Maria Cristina Piattella; Delia Lenzi; Andrea Paolillo; Walter Nucciarelli; Gian Luigi Lenzi; Luigi Bozzao; Carlo Pozzilli
Journal:  Magn Reson Imaging       Date:  2002-06       Impact factor: 2.546

9.  Quantitative assessment of iron accumulation in the deep gray matter of multiple sclerosis by magnetic field correlation imaging.

Authors:  Y Ge; J H Jensen; H Lu; J A Helpern; L Miles; M Inglese; J S Babb; J Herbert; R I Grossman
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-24       Impact factor: 3.825

10.  Quantitative assessment of brain iron by R(2)* relaxometry in patients with clinically isolated syndrome and relapsing-remitting multiple sclerosis.

Authors:  M Khalil; C Enzinger; C Langkammer; M Tscherner; M Wallner-Blazek; M Jehna; S Ropele; S Fuchs; F Fazekas
Journal:  Mult Scler       Date:  2009-06-25       Impact factor: 6.312

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  5 in total

Review 1.  The tension between early diagnosis and misdiagnosis of multiple sclerosis.

Authors:  Andrew J Solomon; John R Corboy
Journal:  Nat Rev Neurol       Date:  2017-08-11       Impact factor: 42.937

2.  11C-acetate PET imaging in patients with multiple sclerosis.

Authors:  Kazushiro Takata; Hiroki Kato; Eku Shimosegawa; Tatsusada Okuno; Toru Koda; Tomoyuki Sugimoto; Hideki Mochizuki; Jun Hatazawa; Yuji Nakatsuji
Journal:  PLoS One       Date:  2014-11-04       Impact factor: 3.240

Review 3.  Magnetic Resonance Imaging as a Prognostic Disability Marker in Clinically Isolated Syndrome and Multiple Sclerosis: A Systematic Review and Meta-Analysis.

Authors:  Amjad I AlTokhis; Abrar AlAmrani; Abdulmajeed Alotaibi; Anna Podlasek; Cris S Constantinescu
Journal:  Diagnostics (Basel)       Date:  2022-01-21

4.  Early High Efficacy Treatment in Multiple Sclerosis Is the Best Predictor of Future Disease Activity Over 1 and 2 Years in a Norwegian Population-Based Registry.

Authors:  Cecilia Smith Simonsen; Heidi Øyen Flemmen; Line Broch; Cathrine Brunborg; Pål Berg-Hansen; Stine Marit Moen; Elisabeth Gulowsen Celius
Journal:  Front Neurol       Date:  2021-06-17       Impact factor: 4.003

5.  Short-term MRI measurements as predictors of EDSS progression in relapsing-remitting multiple sclerosis: grey matter atrophy but not lesions are predictive in a real-life setting.

Authors:  Johanna von Gumberz; Mina Mahmoudi; Kim Young; Sven Schippling; Roland Martin; Christoph Heesen; Susanne Siemonsen; Jan-Patrick Stellmann
Journal:  PeerJ       Date:  2016-09-20       Impact factor: 2.984

  5 in total

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