Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo

Detalhes bibliográficos
Autor(a) principal: da Rocha, Euclides Timóteo [UNESP]
Data de Publicação: 2011
Outros Autores: Buchpiguel, Carlos Alberto, Miguel, Euripedes Constantino, Peres, Stela Verzinhase, Filho, Geraldo Busatto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S0047-20852011000100001
http://hdl.handle.net/11449/72391
Resumo: Objective: To make individual assessments using automated quantification methodology in order to screen for perfusion abnormalities in cerebral SPECT examinations among a sample of subjects with OCD. Methods: Statistical parametric mapping (SPM) was used to compare 26 brain SPECT images from patients with OCD individually with an image bank of 32 normal subjects, using the statistical threshold of p < 0.05 (corrected for multiple comparisons at the level of individual voxels or clusters). The maps were analyzed, and regions presenting voxels that remained above this threshold were sought. results: Six patients from a sample of 26 OCD images showed abnormalities at cluster or voxel level, considering the criteria described above, which represented 23.07%. However, seven images from the normal group of 32 were also indicated as cases of perfusional abnormality, representing 21.8% of the sample. Conclusion: The automated quantification method was not considered to be a useful tool for clinical practice, for analyses complementary to visual inspection.
id UNSP_338ff063cfb52c5918bd298e3163c45d
oai_identifier_str oai:repositorio.unesp.br:11449/72391
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivoCerebral perfusion and automated individual analysis using spect among an obsessive-compulsive populationBrain SPECTIndividual analysisOCDSPMcysteine ethyl ester tc 99madultautomationbrain mappingbrain perfusionclinical articleclinical assessmentcontrolled studyfemalehumanimage processingmaleobsessive compulsive disorderpredictionsingle photon emission computer tomographyObjective: To make individual assessments using automated quantification methodology in order to screen for perfusion abnormalities in cerebral SPECT examinations among a sample of subjects with OCD. Methods: Statistical parametric mapping (SPM) was used to compare 26 brain SPECT images from patients with OCD individually with an image bank of 32 normal subjects, using the statistical threshold of p < 0.05 (corrected for multiple comparisons at the level of individual voxels or clusters). The maps were analyzed, and regions presenting voxels that remained above this threshold were sought. results: Six patients from a sample of 26 OCD images showed abnormalities at cluster or voxel level, considering the criteria described above, which represented 23.07%. However, seven images from the normal group of 32 were also indicated as cases of perfusional abnormality, representing 21.8% of the sample. Conclusion: The automated quantification method was not considered to be a useful tool for clinical practice, for analyses complementary to visual inspection.Hospital de Câncer - Fundação Pio XII Department of Nuclear Medicine, Barretos, SPSão Paulo State University (Unesp) Medical School Blood Transfusion Center, Botucatu, SPUniversity of São Paulo (USP) School of Medicine Department of Radiology, Nuclear Medicine ServiceUSP School of Medicine Institute of PsychiatryHospital de Câncer - Fundação Pio XIIDepartment of Radiology Nuclear Medicine ServiceSão Paulo State University (Unesp) Medical School Blood Transfusion Center, Botucatu, SPHospital de Câncer - Fundação Pio XIIUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Nuclear Medicine Serviceda Rocha, Euclides Timóteo [UNESP]Buchpiguel, Carlos AlbertoMiguel, Euripedes ConstantinoPeres, Stela VerzinhaseFilho, Geraldo Busatto2014-05-27T11:25:51Z2014-05-27T11:25:51Z2011-04-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-6application/pdfhttp://dx.doi.org/10.1590/S0047-20852011000100001Jornal Brasileiro de Psiquiatria, v. 60, n. 1, p. 1-6, 2011.0047-20851982-0208http://hdl.handle.net/11449/7239110.1590/S0047-20852011000100001S0047-208520110001000012-s2.0-799550476932-s2.0-79955047693.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporJornal Brasileiro de Psiquiatria0,224info:eu-repo/semantics/openAccess2023-11-06T06:15:04Zoai:repositorio.unesp.br:11449/72391Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-06T06:15:04Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo
Cerebral perfusion and automated individual analysis using spect among an obsessive-compulsive population
title Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo
spellingShingle Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo
da Rocha, Euclides Timóteo [UNESP]
Brain SPECT
Individual analysis
OCD
SPM
cysteine ethyl ester tc 99m
adult
automation
brain mapping
brain perfusion
clinical article
clinical assessment
controlled study
female
human
image processing
male
obsessive compulsive disorder
prediction
single photon emission computer tomography
title_short Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo
title_full Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo
title_fullStr Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo
title_full_unstemmed Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo
title_sort Perfusão cerebral e análise individual automatizada utilizando SPECT em uma população com transtorno obsessivo-compulsivo
author da Rocha, Euclides Timóteo [UNESP]
author_facet da Rocha, Euclides Timóteo [UNESP]
Buchpiguel, Carlos Alberto
Miguel, Euripedes Constantino
Peres, Stela Verzinhase
Filho, Geraldo Busatto
author_role author
author2 Buchpiguel, Carlos Alberto
Miguel, Euripedes Constantino
Peres, Stela Verzinhase
Filho, Geraldo Busatto
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Hospital de Câncer - Fundação Pio XII
Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
Nuclear Medicine Service
dc.contributor.author.fl_str_mv da Rocha, Euclides Timóteo [UNESP]
Buchpiguel, Carlos Alberto
Miguel, Euripedes Constantino
Peres, Stela Verzinhase
Filho, Geraldo Busatto
dc.subject.por.fl_str_mv Brain SPECT
Individual analysis
OCD
SPM
cysteine ethyl ester tc 99m
adult
automation
brain mapping
brain perfusion
clinical article
clinical assessment
controlled study
female
human
image processing
male
obsessive compulsive disorder
prediction
single photon emission computer tomography
topic Brain SPECT
Individual analysis
OCD
SPM
cysteine ethyl ester tc 99m
adult
automation
brain mapping
brain perfusion
clinical article
clinical assessment
controlled study
female
human
image processing
male
obsessive compulsive disorder
prediction
single photon emission computer tomography
description Objective: To make individual assessments using automated quantification methodology in order to screen for perfusion abnormalities in cerebral SPECT examinations among a sample of subjects with OCD. Methods: Statistical parametric mapping (SPM) was used to compare 26 brain SPECT images from patients with OCD individually with an image bank of 32 normal subjects, using the statistical threshold of p < 0.05 (corrected for multiple comparisons at the level of individual voxels or clusters). The maps were analyzed, and regions presenting voxels that remained above this threshold were sought. results: Six patients from a sample of 26 OCD images showed abnormalities at cluster or voxel level, considering the criteria described above, which represented 23.07%. However, seven images from the normal group of 32 were also indicated as cases of perfusional abnormality, representing 21.8% of the sample. Conclusion: The automated quantification method was not considered to be a useful tool for clinical practice, for analyses complementary to visual inspection.
publishDate 2011
dc.date.none.fl_str_mv 2011-04-26
2014-05-27T11:25:51Z
2014-05-27T11:25:51Z
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/10.1590/S0047-20852011000100001
Jornal Brasileiro de Psiquiatria, v. 60, n. 1, p. 1-6, 2011.
0047-2085
1982-0208
http://hdl.handle.net/11449/72391
10.1590/S0047-20852011000100001
S0047-20852011000100001
2-s2.0-79955047693
2-s2.0-79955047693.pdf
url http://dx.doi.org/10.1590/S0047-20852011000100001
http://hdl.handle.net/11449/72391
identifier_str_mv Jornal Brasileiro de Psiquiatria, v. 60, n. 1, p. 1-6, 2011.
0047-2085
1982-0208
10.1590/S0047-20852011000100001
S0047-20852011000100001
2-s2.0-79955047693
2-s2.0-79955047693.pdf
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Jornal Brasileiro de Psiquiatria
0,224
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-6
application/pdf
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_ 1799964843782963200