Literature DB >> 29053836

Long-term disability progression in primary progressive multiple sclerosis: a 15-year study.

Maria A Rocca1,2, Maria Pia Sormani3, Marco Rovaris4, Domenico Caputo4, Angelo Ghezzi5, Enrico Montanari6, Antonio Bertolotto7, Alice Laroni8, Roberto Bergamaschi9, Vittorio Martinelli2, Giancarlo Comi2, Massimo Filippi1,2.   

Abstract

Prognostic markers of primary progressive multiple sclerosis evolution are needed. We investigated the added value of magnetic resonance imaging measures of brain and cervical cord damage in predicting long-term clinical worsening of primary progressive multiple sclerosis compared to simple clinical assessment. In 54 patients, conventional and diffusion tensor brain scans and cervical cord T1-weighted scans were acquired at baseline and after 15 months. Clinical evaluation was performed after 5 and 15 years in 49 patients. Lesion load, brain and cord atrophy, mean diffusivity and fractional anisotropy values from the brain normal-appearing white matter and grey matter were obtained. Using linear regression models, we screened the clinical and imaging variables as independent predictors of 15-year disability change (measured on the expanded disability status scale). At 15 years, 90% of the patients had disability progression. Integrating clinical and imaging variables at 15 months predicted disability changes at 15 years better than clinical factors at 5 years (R2 = 61% versus R2 = 57%). The model predicted long-term disability change with a precision within one point in 38 of 49 patients (77.6%). Integration of clinical and imaging measures allows identification of primary progressive multiple sclerosis patients at risk of long-term disease progression 4 years earlier than when using clinical assessment alone.
© The Author (2017). 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:  disability; long-term; magnetic resonance imaging; primary progressive multiple sclerosis

Mesh:

Year:  2017        PMID: 29053836     DOI: 10.1093/brain/awx250

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


  12 in total

Review 1.  Multiple sclerosis.

Authors:  Massimo Filippi; Amit Bar-Or; Fredrik Piehl; Paolo Preziosa; Alessandra Solari; Sandra Vukusic; Maria A Rocca
Journal:  Nat Rev Dis Primers       Date:  2018-11-08       Impact factor: 52.329

2.  The IN-DEEP project "INtegrating and Deriving Evidence, Experiences, Preferences": a web information model on magnetic resonance imaging for people with multiple sclerosis.

Authors:  Cinzia Colombo; Paolo Confalonieri; Marco Rovaris; Loredana La Mantia; Paolo Galeazzi; Anita Pariani; Simonetta Gerevini; Nicola De Stefano; Roberta Guglielmino; Cinzia Caserta; Paola Mosconi; Graziella Filippini
Journal:  J Neurol       Date:  2020-05-02       Impact factor: 4.849

3.  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

4.  Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis.

Authors:  Cristina Granziera; Jens Wuerfel; Frederik Barkhof; Massimiliano Calabrese; Nicola De Stefano; Christian Enzinger; Nikos Evangelou; Massimo Filippi; Jeroen J G Geurts; Daniel S Reich; Maria A Rocca; Stefan Ropele; Àlex Rovira; Pascal Sati; Ahmed T Toosy; Hugo Vrenken; Claudia A M Gandini Wheeler-Kingshott; Ludwig Kappos
Journal:  Brain       Date:  2021-06-22       Impact factor: 13.501

5.  Gray Matter Matters: A Longitudinal Magnetic Resonance Voxel-Based Morphometry Study of Primary Progressive Multiple Sclerosis.

Authors:  Ted L Rothstein
Journal:  Front Neurol       Date:  2020-11-12       Impact factor: 4.003

6.  Impaired cognition is related to microstructural integrity in relapsing remitting multiple sclerosis.

Authors:  Lin Zhao; Angel Ng; Qianyun Chen; Bonnie Lam; Jill Abrigo; Cheryl Au; Vincent C T Mok; Adrian Wong; Alexander Y Lau
Journal:  Ann Clin Transl Neurol       Date:  2020-06-09       Impact factor: 4.511

7.  Chronic white matter lesion activity predicts clinical progression in primary progressive multiple sclerosis.

Authors:  Colm Elliott; Shibeshih Belachew; Jerry S Wolinsky; Stephen L Hauser; Ludwig Kappos; Frederik Barkhof; Corrado Bernasconi; Julian Fecker; Fabian Model; Wei Wei; Douglas L Arnold
Journal:  Brain       Date:  2019-09-01       Impact factor: 13.501

Review 8.  MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice.

Authors:  Jaume Sastre-Garriga; Deborah Pareto; Marco Battaglini; Maria A Rocca; Olga Ciccarelli; Christian Enzinger; Jens Wuerfel; Maria P Sormani; Frederik Barkhof; Tarek A Yousry; Nicola De Stefano; Mar Tintoré; Massimo Filippi; Claudio Gasperini; Ludwig Kappos; Jordi Río; Jette Frederiksen; Jackie Palace; Hugo Vrenken; Xavier Montalban; Àlex Rovira
Journal:  Nat Rev Neurol       Date:  2020-02-24       Impact factor: 42.937

9.  Spinal cord atrophy in a primary progressive multiple sclerosis trial: Improved sample size using GBSI.

Authors:  Marcello Moccia; Nicola Valsecchi; Olga Ciccarelli; Ronald Van Schijndel; Frederik Barkhof; Ferran Prados
Journal:  Neuroimage Clin       Date:  2020-09-09       Impact factor: 4.881

10.  Quantitative Magnetic Resonance Imaging Analysis of Early Markers of Upper Cervical Cord Atrophy in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder.

Authors:  Iman Adibi; Afshin Najafi; Fouad Merajifar; Neda Ramezani; Hosein Nouri; Nassim Jalilvand; Fereshteh Ashtari; Alireza Vard; Vahid Shaygannejad
Journal:  Mult Scler Int       Date:  2021-07-09
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