Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes

Detalhes bibliográficos
Autor(a) principal: Queiroga, M.
Data de Publicação: 2017
Outros Autores: Elias, M., Silva, Diana, Serrano, J., Rayo, J. I., Carolino, Elisabete, Vieira, Lina, Sousa, Eva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/8556
Resumo: Este trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2016 do Instituto Politécnico de Lisboa. Código de referência: IPL/2016/CardiaCor_ESTeSL
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spelling Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromesDaTScan TMSemi-quantificationReference valuesAccuracyPrecisionParkinson diseaseIPL/2016/CardiaCor_ESTeSLEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2016 do Instituto Politécnico de Lisboa. Código de referência: IPL/2016/CardiaCor_ESTeSLHealthy controls reference values (RV) of DatScanTM and its semi-quantification (SQ) adapted to Infanta Cristina’s Hospital in Badajoz were created. It was used with a sample of 120 DaTScanTM tests divided into 4 groups with n = 30. The first one of healthy controls (GI) was used for calculation of RV. It was applied a semiautomatic method for segmentation and posterior calculi of the specific uptake ratios (SUR), respectively: Left and Right Caudate Nucleus/Occipital (A) and (B); Left and Right Putamen/Occipital (C) and (D); Striatum/Occipital (E); Left and Right Striatum/Occipital (F) and (G); Putamen/Caudate Nucleus (H). The second and third groups (healthy group (GIIH) and pathological group (GIIP)) were compared to GI for validation proposes. Control chards and ROC curves (ROCC) were obtained. The fourth group of randomized patients was used to evaluate the ability of SQ classification and it was compared with the physician evaluation. Sensibility (S), Specificity (SP), Positive (PPV) and Negative (NPV) predictive values were calculated. RV ( ̅ ): A (2.60±0.40); B (2.57±0.36); C (2.29±0.36); D (2.31±0.35); E (2.44±0.35); F (2,44±0,37); G (2,44±0,34); H (0.89±0.07). The GIIH values are above the RV and the GIIP group below the RV. The AUC, S and SP values for each SUR obtained by ROCC were: A (0.805; 0.765; 0.846); B (0.787; 0.711; 0.864); C (0.907; 0.853; 0.962); D (0.933; 0.930; 0.933); E (0.884; 0.871; 0.897); F (0.860; 0.800; 0.920); G (0.868; 0.844; 0.893); H (0.866; 0.732; 1.00). Were obtained results for PPV=0.466; NPV=1; S=1 and SP=0.65. The SQ combined with the visual analysis is a good method to detect healthy patients.APMTACRCIPLQueiroga, M.Elias, M.Silva, DianaSerrano, J.Rayo, J. I.Carolino, ElisabeteVieira, LinaSousa, Eva2018-06-04T16:37:26Z2017-042017-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/8556engQueiroga M, Elias M, Rayo JI, Carolino E, Vieira L, Sousa E, et al. Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes. In: SYMCOMP 2017, 3rd International Conference on Numerical and Symbolic Computation: developments and applications. APMTAC – Associação Portuguesa de Mecânica Teórica, Aplicada e Computacional; 2017. p. 271-81.978‐989‐99410‐3‐8info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T09:56:08Zoai:repositorio.ipl.pt:10400.21/8556Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:17:17.974402Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes
title Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes
spellingShingle Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes
Queiroga, M.
DaTScan TM
Semi-quantification
Reference values
Accuracy
Precision
Parkinson disease
IPL/2016/CardiaCor_ESTeSL
title_short Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes
title_full Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes
title_fullStr Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes
title_full_unstemmed Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes
title_sort Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes
author Queiroga, M.
author_facet Queiroga, M.
Elias, M.
Silva, Diana
Serrano, J.
Rayo, J. I.
Carolino, Elisabete
Vieira, Lina
Sousa, Eva
author_role author
author2 Elias, M.
Silva, Diana
Serrano, J.
Rayo, J. I.
Carolino, Elisabete
Vieira, Lina
Sousa, Eva
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Queiroga, M.
Elias, M.
Silva, Diana
Serrano, J.
Rayo, J. I.
Carolino, Elisabete
Vieira, Lina
Sousa, Eva
dc.subject.por.fl_str_mv DaTScan TM
Semi-quantification
Reference values
Accuracy
Precision
Parkinson disease
IPL/2016/CardiaCor_ESTeSL
topic DaTScan TM
Semi-quantification
Reference values
Accuracy
Precision
Parkinson disease
IPL/2016/CardiaCor_ESTeSL
description Este trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2016 do Instituto Politécnico de Lisboa. Código de referência: IPL/2016/CardiaCor_ESTeSL
publishDate 2017
dc.date.none.fl_str_mv 2017-04
2017-04-01T00:00:00Z
2018-06-04T16:37:26Z
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://hdl.handle.net/10400.21/8556
url http://hdl.handle.net/10400.21/8556
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Queiroga M, Elias M, Rayo JI, Carolino E, Vieira L, Sousa E, et al. Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes. In: SYMCOMP 2017, 3rd International Conference on Numerical and Symbolic Computation: developments and applications. APMTAC – Associação Portuguesa de Mecânica Teórica, Aplicada e Computacional; 2017. p. 271-81.
978‐989‐99410‐3‐8
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv APMTAC
publisher.none.fl_str_mv APMTAC
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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