Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromes

Bibliographic Details
Main Author: Queiroga, M.
Publication Date: 2017
Other Authors: Elias, M., Silva, Diana, Serrano, J., Rayo, J. I., Carolino, Elisabete, Vieira, Lina, Sousa, Eva
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.21/8556
Summary: Healthy 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.
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spelling Influence of semiquantification in DATSCANTM studies for diagnosis of Parkinsonian syndromesDaTScan TMSemi-quantificationReference valuesAccuracyPrecisionParkinson diseaseIPL/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/10400.21/8556eng978‐989‐99410‐3‐8info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-12T10:56:19Zoai:repositorio.ipl.pt:10400.21/8556Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:09:07.591122Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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 Healthy 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.
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
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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
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dc.publisher.none.fl_str_mv APMTAC
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