DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S1807-59322009001200003 http://hdl.handle.net/11449/40170 |
Resumo: | INTRODUCTION: Visual analysis is widely used to interpret regional cerebral blood flow (rCBF) SPECT images in clinical practice despite its limitations. Automated methods are employed to investigate between-group rCBF differences in research Studies but have rarely been explored in individual analyses.OBJECTIVES: To compare visual inspection by nuclear physicians with the automated statistical parametric mapping program using a SPECT dataset of patients with neurological disorders and normal control images.METHODS: Using statistical parametric mapping, 14 SPECT images from patients with various neurological disorders were compared individually with a databank of 32 normal images using a statistical threshold of p<0.05 (corrected for multiple comparisons at the level of individual voxels or clusters). Statistical parametric mapping results were compared with Visual analyses by a nuclear physician highly experienced in neurology (A) as well as a nuclear physician with a general background of experience (B) who independently classified images as normal or altered, and determined the location of changes and the severity.RESULTS: of the 32 images of the normal databank, 4 generated maps showing rCBF abnormalities (p<0.05, corrected). Among the 14 images from patients with neurological disorders, 13 showed rCBF alterations. Statistical parametric mapping and physician A completely agreed on 84.37% and 64.28% of cases from the normal databank and neurological disorders, respectively. The agreement between statistical parametric mapping and ratings of physician B were lower (71.18% and 35.71%, respectively).CONCLUSION: Statistical parametric mapping replicated the findings described by the more experienced nuclear physician. This finding suggests that automated methods for individually analyzing rCBF SPECT images may be a valuable resource to complement visual inspection in clinical practice. |
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spelling |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGYBrain SPECTECDStatistical parametric mappingCerebral blood flowDementiaINTRODUCTION: Visual analysis is widely used to interpret regional cerebral blood flow (rCBF) SPECT images in clinical practice despite its limitations. Automated methods are employed to investigate between-group rCBF differences in research Studies but have rarely been explored in individual analyses.OBJECTIVES: To compare visual inspection by nuclear physicians with the automated statistical parametric mapping program using a SPECT dataset of patients with neurological disorders and normal control images.METHODS: Using statistical parametric mapping, 14 SPECT images from patients with various neurological disorders were compared individually with a databank of 32 normal images using a statistical threshold of p<0.05 (corrected for multiple comparisons at the level of individual voxels or clusters). Statistical parametric mapping results were compared with Visual analyses by a nuclear physician highly experienced in neurology (A) as well as a nuclear physician with a general background of experience (B) who independently classified images as normal or altered, and determined the location of changes and the severity.RESULTS: of the 32 images of the normal databank, 4 generated maps showing rCBF abnormalities (p<0.05, corrected). Among the 14 images from patients with neurological disorders, 13 showed rCBF alterations. Statistical parametric mapping and physician A completely agreed on 84.37% and 64.28% of cases from the normal databank and neurological disorders, respectively. The agreement between statistical parametric mapping and ratings of physician B were lower (71.18% and 35.71%, respectively).CONCLUSION: Statistical parametric mapping replicated the findings described by the more experienced nuclear physician. This finding suggests that automated methods for individually analyzing rCBF SPECT images may be a valuable resource to complement visual inspection in clinical practice.Fundação Pio XII, Hosp Canc, Dept Nucl Med, Barretos, SP, BrazilSão Paulo State Univ, Ctr Blood Transfus, Sch Med, UNESP, Botucatu, SP, BrazilHosp Coracao, Dept Nucl Med, São Paulo, BrazilUniv São Paulo, Fac Med, Dept Neurol, São Paulo, BrazilHosp Alemao Oswaldo Cruz, Dept Nucl Med, São Paulo, BrazilFundação Pio XII, Hosp Canc, Res Support Grp, Barretos, SP, BrazilUniv São Paulo, Fac Med, Inst Psychiat, Dept Radiol,Nucl Med Div, São Paulo, BrazilSão Paulo State Univ, Ctr Blood Transfus, Sch Med, UNESP, Botucatu, SP, BrazilUniversidade de São Paulo (USP), Hospital das ClínicasFundação Pio XIIUniversidade Estadual Paulista (Unesp)Hosp CoracaoUniversidade de São Paulo (USP)Hosp Alemao Oswaldo Cruzda Rocha, Euclides Timoteo [UNESP]Buchpiguel, Carlos AlbertoNitrini, RicardoTazima, SergioPeres, Stela VerzinhaseBusatto Filho, Geraldo2014-05-20T15:30:53Z2014-05-20T15:30:53Z2009-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1145-1153http://dx.doi.org/10.1590/S1807-59322009001200003Clinics. São Paulo: Hospital Clinicas, Univ São Paulo, v. 64, n. 12, p. 1145-1153, 2009.1807-5932http://hdl.handle.net/11449/4017010.1590/S1807-59322009001200003S1807-59322009001200003WOS:000273059400003S1807-59322009001200003.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengClinics1.2450,536info:eu-repo/semantics/openAccess2021-10-23T17:09:49Zoai:repositorio.unesp.br:11449/40170Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T17:09:49Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY |
title |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY |
spellingShingle |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY da Rocha, Euclides Timoteo [UNESP] Brain SPECT ECD Statistical parametric mapping Cerebral blood flow Dementia |
title_short |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY |
title_full |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY |
title_fullStr |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY |
title_full_unstemmed |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY |
title_sort |
DIAGNOSIS of REGIONAL CEREBRAL BLOOD FLOW ABNORMALITIES USING SPECT: AGREEMENT BETWEEN INDIVIDUALIZED STATISTICAL PARAMETRIC MAPS and VISUAL INSPECTION BY NUCLEAR MEDICINE PHYSICIANS WITH DIFFERENT LEVELS of EXPERTISE IN NUCLEAR NEUROLOGY |
author |
da Rocha, Euclides Timoteo [UNESP] |
author_facet |
da Rocha, Euclides Timoteo [UNESP] Buchpiguel, Carlos Alberto Nitrini, Ricardo Tazima, Sergio Peres, Stela Verzinhase Busatto Filho, Geraldo |
author_role |
author |
author2 |
Buchpiguel, Carlos Alberto Nitrini, Ricardo Tazima, Sergio Peres, Stela Verzinhase Busatto Filho, Geraldo |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Fundação Pio XII Universidade Estadual Paulista (Unesp) Hosp Coracao Universidade de São Paulo (USP) Hosp Alemao Oswaldo Cruz |
dc.contributor.author.fl_str_mv |
da Rocha, Euclides Timoteo [UNESP] Buchpiguel, Carlos Alberto Nitrini, Ricardo Tazima, Sergio Peres, Stela Verzinhase Busatto Filho, Geraldo |
dc.subject.por.fl_str_mv |
Brain SPECT ECD Statistical parametric mapping Cerebral blood flow Dementia |
topic |
Brain SPECT ECD Statistical parametric mapping Cerebral blood flow Dementia |
description |
INTRODUCTION: Visual analysis is widely used to interpret regional cerebral blood flow (rCBF) SPECT images in clinical practice despite its limitations. Automated methods are employed to investigate between-group rCBF differences in research Studies but have rarely been explored in individual analyses.OBJECTIVES: To compare visual inspection by nuclear physicians with the automated statistical parametric mapping program using a SPECT dataset of patients with neurological disorders and normal control images.METHODS: Using statistical parametric mapping, 14 SPECT images from patients with various neurological disorders were compared individually with a databank of 32 normal images using a statistical threshold of p<0.05 (corrected for multiple comparisons at the level of individual voxels or clusters). Statistical parametric mapping results were compared with Visual analyses by a nuclear physician highly experienced in neurology (A) as well as a nuclear physician with a general background of experience (B) who independently classified images as normal or altered, and determined the location of changes and the severity.RESULTS: of the 32 images of the normal databank, 4 generated maps showing rCBF abnormalities (p<0.05, corrected). Among the 14 images from patients with neurological disorders, 13 showed rCBF alterations. Statistical parametric mapping and physician A completely agreed on 84.37% and 64.28% of cases from the normal databank and neurological disorders, respectively. The agreement between statistical parametric mapping and ratings of physician B were lower (71.18% and 35.71%, respectively).CONCLUSION: Statistical parametric mapping replicated the findings described by the more experienced nuclear physician. This finding suggests that automated methods for individually analyzing rCBF SPECT images may be a valuable resource to complement visual inspection in clinical practice. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-12-01 2014-05-20T15:30:53Z 2014-05-20T15:30:53Z |
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/S1807-59322009001200003 Clinics. São Paulo: Hospital Clinicas, Univ São Paulo, v. 64, n. 12, p. 1145-1153, 2009. 1807-5932 http://hdl.handle.net/11449/40170 10.1590/S1807-59322009001200003 S1807-59322009001200003 WOS:000273059400003 S1807-59322009001200003.pdf |
url |
http://dx.doi.org/10.1590/S1807-59322009001200003 http://hdl.handle.net/11449/40170 |
identifier_str_mv |
Clinics. São Paulo: Hospital Clinicas, Univ São Paulo, v. 64, n. 12, p. 1145-1153, 2009. 1807-5932 10.1590/S1807-59322009001200003 S1807-59322009001200003 WOS:000273059400003 S1807-59322009001200003.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Clinics 1.245 0,536 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1145-1153 |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo (USP), Hospital das Clínicas |
publisher.none.fl_str_mv |
Universidade de São Paulo (USP), Hospital das Clínicas |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1799965196758810624 |