Correlation of clinical findings and brain volume data in multiple sclerosis

Detalhes bibliográficos
Autor(a) principal: Fragoso, Yara Dadalti
Data de Publicação: 2017
Outros Autores: Wille, Paulo Roberto, Abreu, Marcelo, Brooks, Joseph Bruno B., Dias, Ronaldo Maciel, Duarte, Juliana Avila, Farage, Luciano, Finkelsztejn, Alessandro, Frohlich, Alan Christmann, Goncalves, Marcus Vinicius Magno, Guedes, Bruno V. Sobreira, Medeiros, Leonardo [UNESP], Oliveira, Rodrigo Andre, Ribas, Flavio Diniz, da Rocha, Fernando Coronetti Gomes [UNESP], Santos, Gutemberg Augusto C., Scorcine, Claudio, da Silveira, Guilherme Lopes, Spedo, Carina Tellaroli, Tauil, Carlos Bernardo, Varela, Juliana Santos, Vieira, Vera Lucia Ferreira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.jocn.2017.06.006
http://hdl.handle.net/11449/228348
Resumo: Brain volume measurements are becoming an important tool for assessing success in controlling multiple sclerosis (MS) activity. MSmetrix (icometrix) is an easy-to-use platform, specific for MS magnetic resonance imaging (MRI) of the brain. It provides data on total brain volume, grey matter volume and lesion load volume. The objective of the present study was to assess whether disability and the number of relapses during the previous year correlated with brain volume measurements from MSmetrix. Data on 185 icometrix reports from patients with MS were used to evaluate the potential correlation between brain volume measurements and clinical parameters. There was a significant correlation between higher disability and decreased brain volume (total and grey matter). Increased lesion load in the brain and higher number of relapses in the previous year were also independently correlated with decreased brain tissue volume and with increased disability. This is the first study with real-world data to show that icometrix is a relevant tool for the study of brain volume loss in MS.
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spelling Correlation of clinical findings and brain volume data in multiple sclerosisBrain atrophyBrain volumeDisabilityMagnetic resonance imageMultiple sclerosisBrain volume measurements are becoming an important tool for assessing success in controlling multiple sclerosis (MS) activity. MSmetrix (icometrix) is an easy-to-use platform, specific for MS magnetic resonance imaging (MRI) of the brain. It provides data on total brain volume, grey matter volume and lesion load volume. The objective of the present study was to assess whether disability and the number of relapses during the previous year correlated with brain volume measurements from MSmetrix. Data on 185 icometrix reports from patients with MS were used to evaluate the potential correlation between brain volume measurements and clinical parameters. There was a significant correlation between higher disability and decreased brain volume (total and grey matter). Increased lesion load in the brain and higher number of relapses in the previous year were also independently correlated with decreased brain tissue volume and with increased disability. This is the first study with real-world data to show that icometrix is a relevant tool for the study of brain volume loss in MS.Department of Neurology Universidade Metropolitana de SantosDepartment of Neurology Universidade Regional de JoinvilleDepartment of Radiology Universidade Regional de JoinvilleDepartment of Radiology Clinoson ImageDepartment of Neurology Hospital de Base do Distrito FederalDepartment of Neurology Hospital de Clinicas de Porto AlegreDepartment of Radiology Hospital de Clinicas de Porto AlegreFaculty of Health Sciences Universidade de BrasiliaDepartment of NeurologyDepartment of Neurosurgery of Passo FundoDepartment of Radiology Multscan ImageDepartment of Neurology Universidade Estadual de São PauloDepartment of Radiology MegaimagemDepartment of Neurology Hospital Dona HelenaDepartment of Neurology Universidade Estácio de SaDepartment of Neurosciences and Behavioral Sciences Universidade de São Paulo Campus Ribeirao PretoDepartment of Neurology Universidade Federal do Espirito SantoDepartment of Neurology Universidade Estadual de São PauloUniversidade Metropolitana de SantosUniversidade Regional de JoinvilleClinoson ImageHospital de Base do Distrito FederalHospital de Clinicas de Porto AlegreUniversidade de Brasília (UnB)Multscan ImageUniversidade Estadual Paulista (UNESP)MegaimagemHospital Dona HelenaUniversidade Estácio de SaUniversidade de São Paulo (USP)Universidade Federal do Espírito Santo (UFES)Fragoso, Yara DadaltiWille, Paulo RobertoAbreu, MarceloBrooks, Joseph Bruno B.Dias, Ronaldo MacielDuarte, Juliana AvilaFarage, LucianoFinkelsztejn, AlessandroFrohlich, Alan ChristmannGoncalves, Marcus Vinicius MagnoGuedes, Bruno V. SobreiraMedeiros, Leonardo [UNESP]Oliveira, Rodrigo AndreRibas, Flavio Dinizda Rocha, Fernando Coronetti Gomes [UNESP]Santos, Gutemberg Augusto C.Scorcine, Claudioda Silveira, Guilherme LopesSpedo, Carina TellaroliTauil, Carlos BernardoVarela, Juliana SantosVieira, Vera Lucia Ferreira2022-04-29T08:05:44Z2022-04-29T08:05:44Z2017-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article155-157http://dx.doi.org/10.1016/j.jocn.2017.06.006Journal of Clinical Neuroscience, v. 44, p. 155-157.1532-26530967-5868http://hdl.handle.net/11449/22834810.1016/j.jocn.2017.06.0062-s2.0-85021398595Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Clinical Neuroscienceinfo:eu-repo/semantics/openAccess2024-08-16T15:46:26Zoai:repositorio.unesp.br:11449/228348Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-16T15:46:26Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Correlation of clinical findings and brain volume data in multiple sclerosis
title Correlation of clinical findings and brain volume data in multiple sclerosis
spellingShingle Correlation of clinical findings and brain volume data in multiple sclerosis
Fragoso, Yara Dadalti
Brain atrophy
Brain volume
Disability
Magnetic resonance image
Multiple sclerosis
title_short Correlation of clinical findings and brain volume data in multiple sclerosis
title_full Correlation of clinical findings and brain volume data in multiple sclerosis
title_fullStr Correlation of clinical findings and brain volume data in multiple sclerosis
title_full_unstemmed Correlation of clinical findings and brain volume data in multiple sclerosis
title_sort Correlation of clinical findings and brain volume data in multiple sclerosis
author Fragoso, Yara Dadalti
author_facet Fragoso, Yara Dadalti
Wille, Paulo Roberto
Abreu, Marcelo
Brooks, Joseph Bruno B.
Dias, Ronaldo Maciel
Duarte, Juliana Avila
Farage, Luciano
Finkelsztejn, Alessandro
Frohlich, Alan Christmann
Goncalves, Marcus Vinicius Magno
Guedes, Bruno V. Sobreira
Medeiros, Leonardo [UNESP]
Oliveira, Rodrigo Andre
Ribas, Flavio Diniz
da Rocha, Fernando Coronetti Gomes [UNESP]
Santos, Gutemberg Augusto C.
Scorcine, Claudio
da Silveira, Guilherme Lopes
Spedo, Carina Tellaroli
Tauil, Carlos Bernardo
Varela, Juliana Santos
Vieira, Vera Lucia Ferreira
author_role author
author2 Wille, Paulo Roberto
Abreu, Marcelo
Brooks, Joseph Bruno B.
Dias, Ronaldo Maciel
Duarte, Juliana Avila
Farage, Luciano
Finkelsztejn, Alessandro
Frohlich, Alan Christmann
Goncalves, Marcus Vinicius Magno
Guedes, Bruno V. Sobreira
Medeiros, Leonardo [UNESP]
Oliveira, Rodrigo Andre
Ribas, Flavio Diniz
da Rocha, Fernando Coronetti Gomes [UNESP]
Santos, Gutemberg Augusto C.
Scorcine, Claudio
da Silveira, Guilherme Lopes
Spedo, Carina Tellaroli
Tauil, Carlos Bernardo
Varela, Juliana Santos
Vieira, Vera Lucia Ferreira
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Metropolitana de Santos
Universidade Regional de Joinville
Clinoson Image
Hospital de Base do Distrito Federal
Hospital de Clinicas de Porto Alegre
Universidade de Brasília (UnB)
Multscan Image
Universidade Estadual Paulista (UNESP)
Megaimagem
Hospital Dona Helena
Universidade Estácio de Sa
Universidade de São Paulo (USP)
Universidade Federal do Espírito Santo (UFES)
dc.contributor.author.fl_str_mv Fragoso, Yara Dadalti
Wille, Paulo Roberto
Abreu, Marcelo
Brooks, Joseph Bruno B.
Dias, Ronaldo Maciel
Duarte, Juliana Avila
Farage, Luciano
Finkelsztejn, Alessandro
Frohlich, Alan Christmann
Goncalves, Marcus Vinicius Magno
Guedes, Bruno V. Sobreira
Medeiros, Leonardo [UNESP]
Oliveira, Rodrigo Andre
Ribas, Flavio Diniz
da Rocha, Fernando Coronetti Gomes [UNESP]
Santos, Gutemberg Augusto C.
Scorcine, Claudio
da Silveira, Guilherme Lopes
Spedo, Carina Tellaroli
Tauil, Carlos Bernardo
Varela, Juliana Santos
Vieira, Vera Lucia Ferreira
dc.subject.por.fl_str_mv Brain atrophy
Brain volume
Disability
Magnetic resonance image
Multiple sclerosis
topic Brain atrophy
Brain volume
Disability
Magnetic resonance image
Multiple sclerosis
description Brain volume measurements are becoming an important tool for assessing success in controlling multiple sclerosis (MS) activity. MSmetrix (icometrix) is an easy-to-use platform, specific for MS magnetic resonance imaging (MRI) of the brain. It provides data on total brain volume, grey matter volume and lesion load volume. The objective of the present study was to assess whether disability and the number of relapses during the previous year correlated with brain volume measurements from MSmetrix. Data on 185 icometrix reports from patients with MS were used to evaluate the potential correlation between brain volume measurements and clinical parameters. There was a significant correlation between higher disability and decreased brain volume (total and grey matter). Increased lesion load in the brain and higher number of relapses in the previous year were also independently correlated with decreased brain tissue volume and with increased disability. This is the first study with real-world data to show that icometrix is a relevant tool for the study of brain volume loss in MS.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
2022-04-29T08:05:44Z
2022-04-29T08:05:44Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.jocn.2017.06.006
Journal of Clinical Neuroscience, v. 44, p. 155-157.
1532-2653
0967-5868
http://hdl.handle.net/11449/228348
10.1016/j.jocn.2017.06.006
2-s2.0-85021398595
url http://dx.doi.org/10.1016/j.jocn.2017.06.006
http://hdl.handle.net/11449/228348
identifier_str_mv Journal of Clinical Neuroscience, v. 44, p. 155-157.
1532-2653
0967-5868
10.1016/j.jocn.2017.06.006
2-s2.0-85021398595
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Clinical Neuroscience
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 155-157
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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