Literature DB >> 28362719

Imaging markers of multiple sclerosis prognosis.

Céline Louapre1, Benedetta Bodini, Catherine Lubetzki, Léorah Freeman, Bruno Stankoff.   

Abstract

PURPOSE OF REVIEW: Studies of large longitudinal cohorts of patients with multiple sclerosis (MS) have emphasized the prognostic value of conventional MRI markers, at least during early stages. Advanced imaging metrics derived from quantitative MRI and PET provide relevant information about microstructural damage within and outside visible lesions that may be more sensitive to predict long-term disability. Here, we summarize the most recent findings regarding the prognostic value of imaging markers throughout MS stages. RECENT
FINDINGS: In clinically isolated syndrome, the presence of at least one brain or spinal cord T2 lesion strongly increases the risk of conversion to clinically definite MS (hazard ratio ranging from 5 to 11). Similarly, the occurrence of new white matter lesions is strongly predictive of subsequent relapse rate and response to current disease modifying therapies. Beyond white matter lesions, volumetric changes in the grey matter and normal-appearing tissue damage are more sensitive prognostic markers for physical and cognitive disability, especially in progressive MS.
SUMMARY: Although white matter lesion number and volume still remains the imaging metric used in daily clinical practice, further development of advanced imaging predictors of long-term disability should allow a better stratification of patients in future clinical trials aimed at promoting repair or neuroprotection.

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Year:  2017        PMID: 28362719     DOI: 10.1097/WCO.0000000000000456

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  9 in total

Review 1.  A window into the future? MRI for evaluation of neuromyelitis optica spectrum disorder throughout the disease course.

Authors:  Jacqueline M Solomon; Friedemann Paul; Claudia Chien; Jiwon Oh; Dalia L Rotstein
Journal:  Ther Adv Neurol Disord       Date:  2021-05-09       Impact factor: 6.570

2.  Myelin status is associated with change in functional mobility following slope walking in people with multiple sclerosis.

Authors:  E M King; M J Sabatier; M Hoque; T M Kesar; D Backus; M R Borich
Journal:  Mult Scler J Exp Transl Clin       Date:  2018-04-27

3.  Evaluation of Myelin Radiotracers in the Lysolecithin Rat Model of Focal Demyelination: Beware of Pitfalls!

Authors:  Min Zhang; Gaëlle Hugon; Caroline Bouillot; Radu Bolbos; Jean-Baptiste Langlois; Thierry Billard; Frédéric Bonnefoi; Biao Li; Luc Zimmer; Fabien Chauveau
Journal:  Contrast Media Mol Imaging       Date:  2019-05-29       Impact factor: 3.161

4.  Retinal measurements predict 10-year disability in multiple sclerosis.

Authors:  Alissa Rothman; Olwen C Murphy; Kathryn C Fitzgerald; Julia Button; Eliza Gordon-Lipkin; John N Ratchford; Scott D Newsome; Ellen M Mowry; Elias S Sotirchos; Stephanie B Syc-Mazurek; James Nguyen; Natalia Gonzalez Caldito; Laura J Balcer; Elliot M Frohman; Teresa C Frohman; Daniel S Reich; Ciprian Crainiceanu; Shiv Saidha; Peter A Calabresi
Journal:  Ann Clin Transl Neurol       Date:  2019-01-19       Impact factor: 4.511

Review 5.  Environmental and genetic risk factors for MS: an integrated review.

Authors:  Emmanuelle Waubant; Robyn Lucas; Ellen Mowry; Jennifer Graves; Tomas Olsson; Lars Alfredsson; Annette Langer-Gould
Journal:  Ann Clin Transl Neurol       Date:  2019-08-07       Impact factor: 4.511

6.  Various Diseases and Clinical Heterogeneity Are Associated With "Hot Cross Bun".

Authors:  Shuzhen Zhu; Hualing Li; Bin Deng; Jialing Zheng; Zifeng Huang; Zihan Chang; Yanjun Huang; Zhibo Wen; Yanran Liang; Mengjue Yu; Ling-Ling Chan; Eng-King Tan; Qing Wang
Journal:  Front Aging Neurosci       Date:  2020-11-20       Impact factor: 5.750

7.  The Application of Diffusion Kurtosis Imaging on the Heterogeneous White Matter in Relapsing-Remitting Multiple Sclerosis.

Authors:  Qiyuan Zhu; Qiao Zheng; Dan Luo; Yuling Peng; Zichun Yan; Xiaohua Wang; Xiaoya Chen; Yongmei Li
Journal:  Front Neurosci       Date:  2022-03-10       Impact factor: 4.677

Review 8.  Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis.

Authors:  Stijn Denissen; Oliver Y Chén; Johan De Mey; Maarten De Vos; Jeroen Van Schependom; Diana Maria Sima; Guy Nagels
Journal:  J Pers Med       Date:  2021-12-11

9.  Machine learning classifier to identify clinical and radiological features relevant to disability progression in multiple sclerosis.

Authors:  Silvia Tommasin; Sirio Cocozza; Alessandro Taloni; Costanza Giannì; Nikolaos Petsas; Giuseppe Pontillo; Maria Petracca; Serena Ruggieri; Laura De Giglio; Carlo Pozzilli; Arturo Brunetti; Patrizia Pantano
Journal:  J Neurol       Date:  2021-05-10       Impact factor: 4.849

  9 in total

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