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Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes

dc.contributor.authorQueiroga, M.
dc.contributor.authorElias, M.
dc.contributor.authorSilva, Diana
dc.contributor.authorSerrano, J.
dc.contributor.authorRayo, J. I.
dc.contributor.authorCarolino, Elisabete
dc.contributor.authorVieira, Lina
dc.contributor.authorSousa, Eva
dc.date.accessioned2018-06-04T16:37:26Z
dc.date.available2018-06-04T16:37:26Z
dc.date.issued2017-04
dc.descriptionEste 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_ESTeSLpt_PT
dc.description.abstractHealthy 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationQueiroga 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.pt_PT
dc.identifier.isbn978‐989‐99410‐3‐8
dc.identifier.urihttp://hdl.handle.net/10400.21/8556
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAPMTACpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDaTScan TMpt_PT
dc.subjectSemi-quantificationpt_PT
dc.subjectReference valuespt_PT
dc.subjectAccuracypt_PT
dc.subjectPrecisionpt_PT
dc.subjectParkinson diseasept_PT
dc.subjectIPL/2016/CardiaCor_ESTeSLpt_PT
dc.titleInfluence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceGuimarãespt_PT
oaire.citation.endPage281pt_PT
oaire.citation.startPage271pt_PT
person.familyNameCarolino
person.givenNameElisabete
person.identifier.ciencia-id1216-EFA3-1E0F
person.identifier.orcid0000-0003-4165-7052
person.identifier.ridF-1012-2015
person.identifier.scopus-author-id25821697000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication77930d39-ed34-44dc-a4a6-9bf833e5e688
relation.isAuthorOfPublication.latestForDiscovery77930d39-ed34-44dc-a4a6-9bf833e5e688

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