Correlation of clinical findings and brain volume data in multiple sclerosis
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , |
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. |
id |
UNSP_2f54731f31e1bf0fbba6987df383e790 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/228348 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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 |
|
_version_ |
1808128208533454848 |