Literature DB >> 16043800

Brain atrophy and lesion load in a large population of patients with multiple sclerosis.

G Tedeschi1, L Lavorgna, P Russo, A Prinster, D Dinacci, G Savettieri, A Quattrone, P Livrea, C Messina, A Reggio, V Bresciamorra, G Orefice, M Paciello, A Brunetti, G Coniglio, S Bonavita, A Di Costanzo, A Bellacosa, P Valentino, M Quarantelli, F Patti, G Salemi, E Cammarata, I L Simone, M Salvatore, V Bonavita, B Alfano.   

Abstract

OBJECTIVE: To measure white matter (WM) and gray matter (GM) atrophy and lesion load in a large population of patients with multiple sclerosis (MS) using a fully automated, operator-independent, multiparametric segmentation method.
METHODS: The study population consisted of 597 patients with MS and 104 control subjects. The MRI parameters were abnormal WM fraction (AWM-f), global WM-f (gWM-f), and GM fraction (GM-f).
RESULTS: Significant differences between patients with MS and control subjects included higher AWM-f and reduced gWM-f and GM-f. MRI data showed significant differences between patients with relapsing-remitting and secondary progressive forms of MS. Significant correlations between MRI parameters and between MRI and clinical data were found.
CONCLUSIONS: Patients with multiple sclerosis have significant atrophy of both white matter (WM) and gray matter (GM); secondary progressive patients have significantly more atrophy of both WM and GM than do relapsing-remitting patients and a significantly higher lesion load (abnormal WM fraction); lesion load is related to both WM and even more to GM atrophy; lesion load and WM and GM atrophy are significantly related to Expanded Disability Status Scale score and age at onset (suggesting that the younger the age at disease onset, the worse the lesion load and brain atrophy); and GM atrophy is the most significant MRI variable in determining the final disability.

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Year:  2005        PMID: 16043800     DOI: 10.1212/01.wnl.0000168837.87351.1f

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  45 in total

1.  In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis.

Authors:  J Cohen-Adad; T Benner; D Greve; R P Kinkel; A Radding; B Fischl; B R Rosen; C Mainero
Journal:  Neuroimage       Date:  2011-04-13       Impact factor: 6.556

2.  Compensatory activations in patients with multiple sclerosis during preserved performance on the auditory N-back task.

Authors:  Cristina Forn; Alfonso Barros-Loscertales; Joaquín Escudero; Vicente Benlloch; Salvador Campos; Maria Antònia Parcet; César Avila
Journal:  Hum Brain Mapp       Date:  2007-05       Impact factor: 5.038

3.  (11)C-PBR28 imaging in multiple sclerosis patients and healthy controls: test-retest reproducibility and focal visualization of active white matter areas.

Authors:  Eunkyung Park; Jean-Dominique Gallezot; Aracely Delgadillo; Shuang Liu; Beata Planeta; Shu-Fei Lin; Kevin C O'Connor; Keunpoong Lim; Jae-Yun Lee; Anne Chastre; Ming-Kai Chen; Nicholas Seneca; David Leppert; Yiyun Huang; Richard E Carson; Daniel Pelletier
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-04-02       Impact factor: 9.236

Review 4.  MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy.

Authors:  Massimo Filippi; M A Rocca
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-31       Impact factor: 3.825

5.  Longitudinal gray matter changes in multiple sclerosis--differential scanner and overall disease-related effects.

Authors:  Kerstin Bendfeldt; Louis Hofstetter; Pascal Kuster; Stefan Traud; Nicole Mueller-Lenke; Yvonne Naegelin; Ludwig Kappos; Achim Gass; Thomas E Nichols; Frederik Barkhof; Hugo Vrenken; Stefan D Roosendaal; Jeroen J G Geurts; Ernst-Wilhelm Radue; Stefan J Borgwardt
Journal:  Hum Brain Mapp       Date:  2011-04-29       Impact factor: 5.038

Review 6.  MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.

Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

7.  Cortical neuronal densities and cerebral white matter demyelination in multiple sclerosis: a retrospective study.

Authors:  Bruce D Trapp; Megan Vignos; Jessica Dudman; Ansi Chang; Elizabeth Fisher; Susan M Staugaitis; Harsha Battapady; Sverre Mork; Daniel Ontaneda; Stephen E Jones; Robert J Fox; Jacqueline Chen; Kunio Nakamura; Richard A Rudick
Journal:  Lancet Neurol       Date:  2018-08-22       Impact factor: 44.182

8.  Multiple sclerosis shrinks intralesional, and enlarges extralesional, brain parenchymal veins.

Authors:  María I Gaitán; Manori P de Alwis; Pascal Sati; Govind Nair; Daniel S Reich
Journal:  Neurology       Date:  2012-12-19       Impact factor: 9.910

Review 9.  Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review.

Authors:  Blandine Grassiot; Béatrice Desgranges; Francis Eustache; Gilles Defer
Journal:  J Neurol       Date:  2009-04-08       Impact factor: 4.849

10.  Genetic, Immune-Inflammatory, and Oxidative Stress Biomarkers as Predictors for Disability and Disease Progression in Multiple Sclerosis.

Authors:  Ana Paula Kallaur; Edna Maria Vissoci Reiche; Sayonara Rangel Oliveira; Andrea Name Colado Simão; Wildea Lice de Carvalho Jennings Pereira; Daniela Frizon Alfieri; Tamires Flauzino; Caio de Meleck Proença; Marcell Alysson Batisti Lozovoy; Damacio Ramón Kaimen-Maciel; Michael Maes
Journal:  Mol Neurobiol       Date:  2016-01-05       Impact factor: 5.590

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