Literature DB >> 31342055

Early imaging predictors of long-term outcomes in relapse-onset multiple sclerosis.

Wallace J Brownlee1, Dan R Altmann2, Ferran Prados1,3,4, Katherine A Miszkiel5, Arman Eshaghi1, Claudia A M Gandini Wheeler-Kingshott1,6,7, Frederik Barkhof1,3,8,9, Olga Ciccarelli1,9.   

Abstract

The clinical course of relapse-onset multiple sclerosis is highly variable. Demographic factors, clinical features and global brain T2 lesion load have limited value in counselling individual patients. We investigated early MRI predictors of key long-term outcomes including secondary progressive multiple sclerosis, physical disability and cognitive performance, 15 years after a clinically isolated syndrome. A cohort of patients with clinically isolated syndrome (n = 178) was prospectively recruited within 3 months of clinical disease onset and studied with MRI scans of the brain and spinal cord at study entry (baseline) and after 1 and 3 years. MRI measures at each time point included: supratentorial, infratentorial, spinal cord and gadolinium-enhancing lesion number, brain and spinal cord volumetric measures. The patients were followed-up clinically after ∼15 years to determine disease course, and disability was assessed using the Expanded Disability Status Scale, Paced Auditory Serial Addition Test and Symbol Digit Modalities Test. Multivariable logistic regression and multivariable linear regression models identified independent MRI predictors of secondary progressive multiple sclerosis and Expanded Disability Status Scale, Paced Auditory Serial Addition Test and Symbol Digit Modalities Test, respectively. After 15 years, 166 (93%) patients were assessed clinically: 119 (72%) had multiple sclerosis [94 (57%) relapsing-remitting, 25 (15%) secondary progressive], 45 (27%) remained clinically isolated syndrome and two (1%) developed other disorders. Physical disability was overall low in the multiple sclerosis patients (median Expanded Disability Status Scale 2, range 0-10); 71% were untreated. Baseline gadolinium-enhancing (odds ratio 3.16, P < 0.01) and spinal cord lesions (odds ratio 4.71, P < 0.01) were independently associated with secondary progressive multiple sclerosis at 15 years. When considering 1- and 3-year MRI variables, baseline gadolinium-enhancing lesions remained significant and new spinal cord lesions over time were associated with secondary progressive multiple sclerosis. Baseline gadolinium-enhancing (β = 1.32, P < 0.01) and spinal cord lesions (β = 1.53, P < 0.01) showed a consistent association with Expanded Disability Status Scale at 15 years. Baseline gadolinium-enhancing lesions was also associated with performance on the Paced Auditory Serial Addition Test (β = - 0.79, P < 0.01) and Symbol Digit Modalities Test (β = -0.70, P = 0.02) at 15 years. Our findings suggest that early focal inflammatory disease activity and spinal cord lesions are predictors of very long-term disease outcomes in relapse-onset multiple sclerosis. Established MRI measures, available in routine clinical practice, may be useful in counselling patients with early multiple sclerosis about long-term prognosis, and personalizing treatment plans.
© The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  clinically isolated syndrome; magnetic resonance imaging; multiple sclerosis; prognosis

Mesh:

Year:  2019        PMID: 31342055     DOI: 10.1093/brain/awz156

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


  22 in total

1.  Adding brain volume measures into response criteria in multiple sclerosis: the Río-4 score.

Authors:  Francisco Carlos Pérez-Miralles; Jordi Río; Deborah Pareto; Àngela Vidal-Jordana; Cristina Auger; Georgina Arrambide; Joaquín Castilló; Mar Tintoré; Àlex Rovira; Xavier Montalban; Jaume Sastre-Garriga
Journal:  Neuroradiology       Date:  2020-11-25       Impact factor: 2.804

2.  Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability.

Authors:  Anne Kerbrat; Charley Gros; Atef Badji; Elise Bannier; Francesca Galassi; Benoit Combès; Raphaël Chouteau; Pierre Labauge; Xavier Ayrignac; Clarisse Carra-Dalliere; Josefina Maranzano; Tobias Granberg; Russell Ouellette; Leszek Stawiarz; Jan Hillert; Jason Talbott; Yasuhiko Tachibana; Masaaki Hori; Kouhei Kamiya; Lydia Chougar; Jennifer Lefeuvre; Daniel S Reich; Govind Nair; Paola Valsasina; Maria A Rocca; Massimo Filippi; Renxin Chu; Rohit Bakshi; Virginie Callot; Jean Pelletier; Bertrand Audoin; Adil Maarouf; Nicolas Collongues; Jérôme De Seze; Gilles Edan; Julien Cohen-Adad
Journal:  Brain       Date:  2020-07-01       Impact factor: 13.501

3.  The no evidence of disease activity (NEDA) concept in MS: impact of spinal cord MRI.

Authors:  Elena Di Sabatino; Lorenzo Gaetani; Silvia Sperandei; Andrea Fiacca; Giorgio Guercini; Lucilla Parnetti; Massimiliano Di Filippo
Journal:  J Neurol       Date:  2021-11-24       Impact factor: 4.849

4.  Tissue damage detected by quantitative gradient echo MRI correlates with clinical progression in non-relapsing progressive MS.

Authors:  Biao Xiang; Matthew R Brier; Manasa Kanthamneni; Jie Wen; Abraham Z Snyder; Dmitriy A Yablonskiy; Anne H Cross
Journal:  Mult Scler       Date:  2022-02-23       Impact factor: 5.855

5.  Magnetic Resonance Imaging of Spinal Cord Lesions in Patients with Multiple Sclerosis in Saskatchewan, Canada.

Authors:  Aman Saini; Kevin Bach; Ilia Poliakov; Katherine B Knox; Michael C Levin
Journal:  Int J MS Care       Date:  2020-04-14

6.  Network Damage Predicts Clinical Worsening in Multiple Sclerosis: A 6.4-Year Study.

Authors:  Maria A Rocca; Paola Valsasina; Alessandro Meani; Elisabetta Pagani; Claudio Cordani; Chiara Cervellin; Massimo Filippi
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2021-05-21

Review 7.  Machine Learning Use for Prognostic Purposes in Multiple Sclerosis.

Authors:  Ruggiero Seccia; Silvia Romano; Marco Salvetti; Andrea Crisanti; Laura Palagi; Francesca Grassi
Journal:  Life (Basel)       Date:  2021-02-05

Review 8.  Should We Use Clinical Tools to Identify Disease Progression?

Authors:  Hernan Inojosa; Undine Proschmann; Katja Akgün; Tjalf Ziemssen
Journal:  Front Neurol       Date:  2021-01-21       Impact factor: 4.003

9.  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

10.  Aggressive multiple sclerosis (1): Towards a definition of the phenotype.

Authors:  Ellen Iacobaeus; Georgina Arrambide; Maria Pia Amato; Tobias Derfuss; Sandra Vukusic; Bernhard Hemmer; Mar Tintore; Lou Brundin
Journal:  Mult Scler       Date:  2020-06-12       Impact factor: 6.312

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