Loading…
Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing–remitting multiple sclerosis
Background: The ability of conventional magnetic resonance imaging (MRI) to predict subsequent physical disability and cognitive deterioration after a clinically isolated syndrome (CIS) is weak. Objectives: We aimed to investigate whether conventional MRI changes over 1 year could predict cognitive...
Saved in:
Published in: | Multiple sclerosis 2012-11, Vol.18 (11), p.1585-1591 |
---|---|
Main Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c429t-171ae9d9d17fdd1cb70333d37168d49b93c5221162160d8bb731ffb7386d73473 |
---|---|
cites | cdi_FETCH-LOGICAL-c429t-171ae9d9d17fdd1cb70333d37168d49b93c5221162160d8bb731ffb7386d73473 |
container_end_page | 1591 |
container_issue | 11 |
container_start_page | 1585 |
container_title | Multiple sclerosis |
container_volume | 18 |
creator | Wybrecht, Delphine Reuter, Françoise Zaaraoui, Wafaa Faivre, Anthony Crespy, Lydie Rico, Audrey Malikova, Irina Confort-Gouny, Sylviane Soulier, Elisabeth Cozzone, Patrick J Pelletier, Jean Ranjeva, Jean-Philippe Audoin, Bertrand |
description | Background:
The ability of conventional magnetic resonance imaging (MRI) to predict subsequent physical disability and cognitive deterioration after a clinically isolated syndrome (CIS) is weak.
Objectives:
We aimed to investigate whether conventional MRI changes over 1 year could predict cognitive and physical disability 5 years later in CIS. We performed analyses using a global approach (T2 lesion load, number of T2 lesions), but also a topographic approach.
Methods:
This study included 38 patients with a CIS. At inclusion, 10 out of 38 patients fulfilled the 2010 revised McDonald’s criteria for the diagnosis of multiple sclerosis. Expanded Disability Status Scale (EDSS) evaluation was performed at baseline, year 1 and year 5, and cognitive evaluation at baseline and year 5. T2-weighted MRI was performed at baseline and year 1. We used voxelwise analysis to analyse the predictive value of lesions location for subsequent disability.
Results:
Using the global approach, no correlation was found between MRI and clinical data. The occurrence or growth of new lesions in the brainstem was correlated with EDSS changes over the 5 years of follow-up. The occurrence or growth of new lesions in cerebellum, thalami, corpus callosum and frontal lobes over 1 year was correlated with cognitive impairment at 5 years.
Conclusion:
The assessment of lesion location at the first stage of multiple sclerosis may be of value to predict future clinical disability. |
doi_str_mv | 10.1177/1352458512442991 |
format | article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_00826758v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1352458512442991</sage_id><sourcerecordid>2818918721</sourcerecordid><originalsourceid>FETCH-LOGICAL-c429t-171ae9d9d17fdd1cb70333d37168d49b93c5221162160d8bb731ffb7386d73473</originalsourceid><addsrcrecordid>eNp1kc9u1DAQxiNERUvhzglZQkhwCHjiJE6OVQW00kq9ANfIsSeLKycOtlPYGw_AjTfkSZhotwVV4mJb3_y--ePJsmfA3wBI-RZEVZRVU0FRlkXbwoPsBEopc95K_pDeFM7X-HH2OMZrzrmUonqUHRfkKgk6yX5-9t_RfbMRmZqU20UbmR-Y9tMNTsl60tiothMmq1nASMKkkVnS7LRlybM5oLE6sWFJS0BmbFS9dTbtmJ0YquB25HNqjsT__vEr4GhTWr3j4pKdHbKoHQZPlZ9kR4NyEZ8e7tPs0_t3H88v8s3Vh8vzs02uacqUgwSFrWkNyMEY0L3kQggjJNSNKdu-FboqCoC6gJqbpu-lgGGgs6mNFKUUp9nrfd4vynVzoGHCrvPKdhdnm27VOG-KWlbNDRD7as_OwX9dMKZutFGjc2pCv8QOAKpKcMlX9MU99NovgX5wpSSveVmItTjfU5pmjgGHuw6Ar5zs7m-VLM8PiZd-RHNnuF0jAS8PgIpauSHQkmz8y9WVrFvBicv3XFRb_Ke7_xX-Aw_auKg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1170604237</pqid></control><display><type>article</type><title>Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing–remitting multiple sclerosis</title><source>SAGE:Jisc Collections:SAGE Journals Read and Publish 2023-2024: Reading List</source><creator>Wybrecht, Delphine ; Reuter, Françoise ; Zaaraoui, Wafaa ; Faivre, Anthony ; Crespy, Lydie ; Rico, Audrey ; Malikova, Irina ; Confort-Gouny, Sylviane ; Soulier, Elisabeth ; Cozzone, Patrick J ; Pelletier, Jean ; Ranjeva, Jean-Philippe ; Audoin, Bertrand</creator><creatorcontrib>Wybrecht, Delphine ; Reuter, Françoise ; Zaaraoui, Wafaa ; Faivre, Anthony ; Crespy, Lydie ; Rico, Audrey ; Malikova, Irina ; Confort-Gouny, Sylviane ; Soulier, Elisabeth ; Cozzone, Patrick J ; Pelletier, Jean ; Ranjeva, Jean-Philippe ; Audoin, Bertrand</creatorcontrib><description>Background:
The ability of conventional magnetic resonance imaging (MRI) to predict subsequent physical disability and cognitive deterioration after a clinically isolated syndrome (CIS) is weak.
Objectives:
We aimed to investigate whether conventional MRI changes over 1 year could predict cognitive and physical disability 5 years later in CIS. We performed analyses using a global approach (T2 lesion load, number of T2 lesions), but also a topographic approach.
Methods:
This study included 38 patients with a CIS. At inclusion, 10 out of 38 patients fulfilled the 2010 revised McDonald’s criteria for the diagnosis of multiple sclerosis. Expanded Disability Status Scale (EDSS) evaluation was performed at baseline, year 1 and year 5, and cognitive evaluation at baseline and year 5. T2-weighted MRI was performed at baseline and year 1. We used voxelwise analysis to analyse the predictive value of lesions location for subsequent disability.
Results:
Using the global approach, no correlation was found between MRI and clinical data. The occurrence or growth of new lesions in the brainstem was correlated with EDSS changes over the 5 years of follow-up. The occurrence or growth of new lesions in cerebellum, thalami, corpus callosum and frontal lobes over 1 year was correlated with cognitive impairment at 5 years.
Conclusion:
The assessment of lesion location at the first stage of multiple sclerosis may be of value to predict future clinical disability.</description><identifier>ISSN: 1352-4585</identifier><identifier>EISSN: 1477-0970</identifier><identifier>DOI: 10.1177/1352458512442991</identifier><identifier>PMID: 22454097</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adolescent ; Adult ; Biological and medical sciences ; Brain - pathology ; Brain - physiopathology ; Cognition ; Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases ; Disability Evaluation ; Disease Progression ; Female ; Humans ; Linear Models ; Longitudinal Studies ; Magnetic Resonance Imaging ; Male ; Medical sciences ; Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis ; Multiple Sclerosis, Relapsing-Remitting - diagnosis ; Multiple Sclerosis, Relapsing-Remitting - pathology ; Multiple Sclerosis, Relapsing-Remitting - physiopathology ; Multiple Sclerosis, Relapsing-Remitting - psychology ; Neurology ; Neuropsychological Tests ; Predictive Value of Tests ; Prognosis ; Severity of Illness Index ; Time Factors ; Young Adult</subject><ispartof>Multiple sclerosis, 2012-11, Vol.18 (11), p.1585-1591</ispartof><rights>The Author(s) 2012</rights><rights>2015 INIST-CNRS</rights><rights>SAGE Publications © Nov 2012</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c429t-171ae9d9d17fdd1cb70333d37168d49b93c5221162160d8bb731ffb7386d73473</citedby><cites>FETCH-LOGICAL-c429t-171ae9d9d17fdd1cb70333d37168d49b93c5221162160d8bb731ffb7386d73473</cites><orcidid>0000-0002-9860-7657 ; 0000-0002-9036-6246 ; 0000-0001-9730-7567</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27922,27923,79134</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26576930$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22454097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00826758$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Wybrecht, Delphine</creatorcontrib><creatorcontrib>Reuter, Françoise</creatorcontrib><creatorcontrib>Zaaraoui, Wafaa</creatorcontrib><creatorcontrib>Faivre, Anthony</creatorcontrib><creatorcontrib>Crespy, Lydie</creatorcontrib><creatorcontrib>Rico, Audrey</creatorcontrib><creatorcontrib>Malikova, Irina</creatorcontrib><creatorcontrib>Confort-Gouny, Sylviane</creatorcontrib><creatorcontrib>Soulier, Elisabeth</creatorcontrib><creatorcontrib>Cozzone, Patrick J</creatorcontrib><creatorcontrib>Pelletier, Jean</creatorcontrib><creatorcontrib>Ranjeva, Jean-Philippe</creatorcontrib><creatorcontrib>Audoin, Bertrand</creatorcontrib><title>Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing–remitting multiple sclerosis</title><title>Multiple sclerosis</title><addtitle>Mult Scler</addtitle><description>Background:
The ability of conventional magnetic resonance imaging (MRI) to predict subsequent physical disability and cognitive deterioration after a clinically isolated syndrome (CIS) is weak.
Objectives:
We aimed to investigate whether conventional MRI changes over 1 year could predict cognitive and physical disability 5 years later in CIS. We performed analyses using a global approach (T2 lesion load, number of T2 lesions), but also a topographic approach.
Methods:
This study included 38 patients with a CIS. At inclusion, 10 out of 38 patients fulfilled the 2010 revised McDonald’s criteria for the diagnosis of multiple sclerosis. Expanded Disability Status Scale (EDSS) evaluation was performed at baseline, year 1 and year 5, and cognitive evaluation at baseline and year 5. T2-weighted MRI was performed at baseline and year 1. We used voxelwise analysis to analyse the predictive value of lesions location for subsequent disability.
Results:
Using the global approach, no correlation was found between MRI and clinical data. The occurrence or growth of new lesions in the brainstem was correlated with EDSS changes over the 5 years of follow-up. The occurrence or growth of new lesions in cerebellum, thalami, corpus callosum and frontal lobes over 1 year was correlated with cognitive impairment at 5 years.
Conclusion:
The assessment of lesion location at the first stage of multiple sclerosis may be of value to predict future clinical disability.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Brain - pathology</subject><subject>Brain - physiopathology</subject><subject>Cognition</subject><subject>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</subject><subject>Disability Evaluation</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Longitudinal Studies</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis</subject><subject>Multiple Sclerosis, Relapsing-Remitting - diagnosis</subject><subject>Multiple Sclerosis, Relapsing-Remitting - pathology</subject><subject>Multiple Sclerosis, Relapsing-Remitting - physiopathology</subject><subject>Multiple Sclerosis, Relapsing-Remitting - psychology</subject><subject>Neurology</subject><subject>Neuropsychological Tests</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Severity of Illness Index</subject><subject>Time Factors</subject><subject>Young Adult</subject><issn>1352-4585</issn><issn>1477-0970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp1kc9u1DAQxiNERUvhzglZQkhwCHjiJE6OVQW00kq9ANfIsSeLKycOtlPYGw_AjTfkSZhotwVV4mJb3_y--ePJsmfA3wBI-RZEVZRVU0FRlkXbwoPsBEopc95K_pDeFM7X-HH2OMZrzrmUonqUHRfkKgk6yX5-9t_RfbMRmZqU20UbmR-Y9tMNTsl60tiothMmq1nASMKkkVnS7LRlybM5oLE6sWFJS0BmbFS9dTbtmJ0YquB25HNqjsT__vEr4GhTWr3j4pKdHbKoHQZPlZ9kR4NyEZ8e7tPs0_t3H88v8s3Vh8vzs02uacqUgwSFrWkNyMEY0L3kQggjJNSNKdu-FboqCoC6gJqbpu-lgGGgs6mNFKUUp9nrfd4vynVzoGHCrvPKdhdnm27VOG-KWlbNDRD7as_OwX9dMKZutFGjc2pCv8QOAKpKcMlX9MU99NovgX5wpSSveVmItTjfU5pmjgGHuw6Ar5zs7m-VLM8PiZd-RHNnuF0jAS8PgIpauSHQkmz8y9WVrFvBicv3XFRb_Ke7_xX-Aw_auKg</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Wybrecht, Delphine</creator><creator>Reuter, Françoise</creator><creator>Zaaraoui, Wafaa</creator><creator>Faivre, Anthony</creator><creator>Crespy, Lydie</creator><creator>Rico, Audrey</creator><creator>Malikova, Irina</creator><creator>Confort-Gouny, Sylviane</creator><creator>Soulier, Elisabeth</creator><creator>Cozzone, Patrick J</creator><creator>Pelletier, Jean</creator><creator>Ranjeva, Jean-Philippe</creator><creator>Audoin, Bertrand</creator><general>SAGE Publications</general><general>Sage Publications</general><general>Sage Publications Ltd</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-9860-7657</orcidid><orcidid>https://orcid.org/0000-0002-9036-6246</orcidid><orcidid>https://orcid.org/0000-0001-9730-7567</orcidid></search><sort><creationdate>20121101</creationdate><title>Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing–remitting multiple sclerosis</title><author>Wybrecht, Delphine ; Reuter, Françoise ; Zaaraoui, Wafaa ; Faivre, Anthony ; Crespy, Lydie ; Rico, Audrey ; Malikova, Irina ; Confort-Gouny, Sylviane ; Soulier, Elisabeth ; Cozzone, Patrick J ; Pelletier, Jean ; Ranjeva, Jean-Philippe ; Audoin, Bertrand</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c429t-171ae9d9d17fdd1cb70333d37168d49b93c5221162160d8bb731ffb7386d73473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Biological and medical sciences</topic><topic>Brain - pathology</topic><topic>Brain - physiopathology</topic><topic>Cognition</topic><topic>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</topic><topic>Disability Evaluation</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Longitudinal Studies</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis</topic><topic>Multiple Sclerosis, Relapsing-Remitting - diagnosis</topic><topic>Multiple Sclerosis, Relapsing-Remitting - pathology</topic><topic>Multiple Sclerosis, Relapsing-Remitting - physiopathology</topic><topic>Multiple Sclerosis, Relapsing-Remitting - psychology</topic><topic>Neurology</topic><topic>Neuropsychological Tests</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Severity of Illness Index</topic><topic>Time Factors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wybrecht, Delphine</creatorcontrib><creatorcontrib>Reuter, Françoise</creatorcontrib><creatorcontrib>Zaaraoui, Wafaa</creatorcontrib><creatorcontrib>Faivre, Anthony</creatorcontrib><creatorcontrib>Crespy, Lydie</creatorcontrib><creatorcontrib>Rico, Audrey</creatorcontrib><creatorcontrib>Malikova, Irina</creatorcontrib><creatorcontrib>Confort-Gouny, Sylviane</creatorcontrib><creatorcontrib>Soulier, Elisabeth</creatorcontrib><creatorcontrib>Cozzone, Patrick J</creatorcontrib><creatorcontrib>Pelletier, Jean</creatorcontrib><creatorcontrib>Ranjeva, Jean-Philippe</creatorcontrib><creatorcontrib>Audoin, Bertrand</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Multiple sclerosis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wybrecht, Delphine</au><au>Reuter, Françoise</au><au>Zaaraoui, Wafaa</au><au>Faivre, Anthony</au><au>Crespy, Lydie</au><au>Rico, Audrey</au><au>Malikova, Irina</au><au>Confort-Gouny, Sylviane</au><au>Soulier, Elisabeth</au><au>Cozzone, Patrick J</au><au>Pelletier, Jean</au><au>Ranjeva, Jean-Philippe</au><au>Audoin, Bertrand</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing–remitting multiple sclerosis</atitle><jtitle>Multiple sclerosis</jtitle><addtitle>Mult Scler</addtitle><date>2012-11-01</date><risdate>2012</risdate><volume>18</volume><issue>11</issue><spage>1585</spage><epage>1591</epage><pages>1585-1591</pages><issn>1352-4585</issn><eissn>1477-0970</eissn><abstract>Background:
The ability of conventional magnetic resonance imaging (MRI) to predict subsequent physical disability and cognitive deterioration after a clinically isolated syndrome (CIS) is weak.
Objectives:
We aimed to investigate whether conventional MRI changes over 1 year could predict cognitive and physical disability 5 years later in CIS. We performed analyses using a global approach (T2 lesion load, number of T2 lesions), but also a topographic approach.
Methods:
This study included 38 patients with a CIS. At inclusion, 10 out of 38 patients fulfilled the 2010 revised McDonald’s criteria for the diagnosis of multiple sclerosis. Expanded Disability Status Scale (EDSS) evaluation was performed at baseline, year 1 and year 5, and cognitive evaluation at baseline and year 5. T2-weighted MRI was performed at baseline and year 1. We used voxelwise analysis to analyse the predictive value of lesions location for subsequent disability.
Results:
Using the global approach, no correlation was found between MRI and clinical data. The occurrence or growth of new lesions in the brainstem was correlated with EDSS changes over the 5 years of follow-up. The occurrence or growth of new lesions in cerebellum, thalami, corpus callosum and frontal lobes over 1 year was correlated with cognitive impairment at 5 years.
Conclusion:
The assessment of lesion location at the first stage of multiple sclerosis may be of value to predict future clinical disability.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>22454097</pmid><doi>10.1177/1352458512442991</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9860-7657</orcidid><orcidid>https://orcid.org/0000-0002-9036-6246</orcidid><orcidid>https://orcid.org/0000-0001-9730-7567</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1352-4585 |
ispartof | Multiple sclerosis, 2012-11, Vol.18 (11), p.1585-1591 |
issn | 1352-4585 1477-0970 |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_00826758v1 |
source | SAGE:Jisc Collections:SAGE Journals Read and Publish 2023-2024: Reading List |
subjects | Adolescent Adult Biological and medical sciences Brain - pathology Brain - physiopathology Cognition Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases Disability Evaluation Disease Progression Female Humans Linear Models Longitudinal Studies Magnetic Resonance Imaging Male Medical sciences Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis Multiple Sclerosis, Relapsing-Remitting - diagnosis Multiple Sclerosis, Relapsing-Remitting - pathology Multiple Sclerosis, Relapsing-Remitting - physiopathology Multiple Sclerosis, Relapsing-Remitting - psychology Neurology Neuropsychological Tests Predictive Value of Tests Prognosis Severity of Illness Index Time Factors Young Adult |
title | Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing–remitting multiple sclerosis |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T10%3A34%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Voxelwise%20analysis%20of%20conventional%20magnetic%20resonance%20imaging%20to%20predict%20future%20disability%20in%20early%20relapsing%E2%80%93remitting%20multiple%20sclerosis&rft.jtitle=Multiple%20sclerosis&rft.au=Wybrecht,%20Delphine&rft.date=2012-11-01&rft.volume=18&rft.issue=11&rft.spage=1585&rft.epage=1591&rft.pages=1585-1591&rft.issn=1352-4585&rft.eissn=1477-0970&rft_id=info:doi/10.1177/1352458512442991&rft_dat=%3Cproquest_hal_p%3E2818918721%3C/proquest_hal_p%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c429t-171ae9d9d17fdd1cb70333d37168d49b93c5221162160d8bb731ffb7386d73473%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1170604237&rft_id=info:pmid/22454097&rft_sage_id=10.1177_1352458512442991&rfr_iscdi=true |