Influence of the color scale in qualitative assessment of brain perfusion imaging
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.25758/set.2081 |
Resumo: | Introduction – Brain perfusion imaging (BPI) is an imaging study that allows the acquisition of three-dimensional tomographic images of the biodistribution of a tracer, reflecting regional brain perfusion. Therefore, the color scale used has a major role in the clinical interpretation of these images. Aim – To study the influence of the color scales in qualitative evaluation of the BPI and to conclude which are the most appropriate scales for the visual analysis. Methods – Thirty-one BPI studies were visually analyzed by 15 operators divided into two classes: operators without professional experience (10) and operators with professional experience (5) using the Cool, Gray, Gray Invert, Thermal, and Perfusion color scales. For the Cool color scale, the image analysis was performed through a semiquantitative score system. The remaining color scales were evaluated by comparison with the analysis of the images performed with the Cool color scale. Non-parametric Friedman Test was used to assess the interoperator variability (relative to the Cool color scale). The results obtained with the remaining color scales were evaluated according to the percentage of symbols the participants assigned during their visual analysis of the 31 studies. Results – Inter-operator variability has shown statistically significant differences among all participants (p<0.05). The results for the Perfusion color scale were the closest to the brain perfusion with Cool, and so is an alternative color scale for evaluation of brain perfusion images. Regarding Gray, Gray Invert, and Thermal color scales, their results were divergent, and thus should not be considered optimal for brain perfusion interpretation. Conclusion – The color scale selected can influence the qualitative assessment of BPI. Perfusion can be implemented in clinical practice as an alternative color scale for the analysis of BPI studies. Gray, Gray Invert, and Thermal color scales should not be considered optimal for brain perfusion interpretation. |
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Influence of the color scale in qualitative assessment of brain perfusion imagingInfluência da escala de cores na avaliação qualitativa em cintigrafia de perfusão cerebralCintigrafia de perfusão cerebralEscala de coresAnálise visualAvaliação qualitativaBrain perfusion imagingColor scaleVisual analysisQualitative assessmentIntroduction – Brain perfusion imaging (BPI) is an imaging study that allows the acquisition of three-dimensional tomographic images of the biodistribution of a tracer, reflecting regional brain perfusion. Therefore, the color scale used has a major role in the clinical interpretation of these images. Aim – To study the influence of the color scales in qualitative evaluation of the BPI and to conclude which are the most appropriate scales for the visual analysis. Methods – Thirty-one BPI studies were visually analyzed by 15 operators divided into two classes: operators without professional experience (10) and operators with professional experience (5) using the Cool, Gray, Gray Invert, Thermal, and Perfusion color scales. For the Cool color scale, the image analysis was performed through a semiquantitative score system. The remaining color scales were evaluated by comparison with the analysis of the images performed with the Cool color scale. Non-parametric Friedman Test was used to assess the interoperator variability (relative to the Cool color scale). The results obtained with the remaining color scales were evaluated according to the percentage of symbols the participants assigned during their visual analysis of the 31 studies. Results – Inter-operator variability has shown statistically significant differences among all participants (p<0.05). The results for the Perfusion color scale were the closest to the brain perfusion with Cool, and so is an alternative color scale for evaluation of brain perfusion images. Regarding Gray, Gray Invert, and Thermal color scales, their results were divergent, and thus should not be considered optimal for brain perfusion interpretation. Conclusion – The color scale selected can influence the qualitative assessment of BPI. Perfusion can be implemented in clinical practice as an alternative color scale for the analysis of BPI studies. Gray, Gray Invert, and Thermal color scales should not be considered optimal for brain perfusion interpretation.Introdução – A cintigrafia de perfusão cerebral (CPC) é uma técnica imagiológica que permite a obtenção de imagens da biodistribuição de um radiofármaco, cuja captação reflete a perfusão cerebral regional. Neste sentido, a escala de cores utilizada possui um papel importante na interpretação clínica destas imagens. Objetivo – Estudar a influência das escalas de cores na avaliação qualitativa da cintigrafia de perfusão cerebral e estimar quais as escalas mais adequadas para a análise visual. Métodos – Trinta e um estudos de CPC foram visualmente analisados por 15 operadores divididos em duas classes: operadores sem experiência profissional (10) e operadores com experiência profissional (5). As imagens foram analisadas com recurso às escalas de cor Cool, Gray, Gray Invert, Thermal e Perfusion. Para a escala de cores Cool, a análise das imagens foi realizada através de um sistema de classificação semiquantitativo por scores. As restantes escalas foram avaliadas por comparação com a análise das imagens efetuada com a escala Cool. Para avaliar a variabilidade interoperador dos resultados obtidos para a escala Cool recorreu-se ao teste estatístico não paramétrico de Friedman, sendo que os resultados relativos às escalas Gray, Gray Invert, Thermal e Perfusion foram analisados com base na percentagem de símbolos (>; <; =) atribuídos pelos participantes na avaliação visual dos 31 estudos. Resultados – Identificadas diferenças estatisticamente significativas entre todos os participantes (p<0,05). A escala Perfusion apresentou a maior percentagem de símbolos igual, aproximando-se da perfusão cerebral observada com a escala Cool, podendo ser considerada como alternativa à análise visual de estudos de CPC. Gray, Gray Invert e Thermal apresentaram resultados mais divergentes. Conclusão – Se aplicável, a escala de cores utilizada tem influência na avaliação qualitativa de estudos de CPC. A escala Perfusion pode ser considerada para implementação na prática clínica, como alternativa à escala Cool para a análise de estudos de CPC. As restantes escalas em estudo não foram consideradas adequadas para análise visual destes estudos.Escola Superior de Tecnologia da Saúde de Lisboa (Instituto Politécnico de Lisboa)2022-08-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.25758/set.2081oai:journals.ipl.pt:article/563Saúde e Tecnologia; No. 18 (2017): Novembro 2017; 36-43Saúde & Tecnologia; N.º 18 (2017): Novembro 2017; 36-431646-9704reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://journals.ipl.pt/stecnologia/article/view/563https://doi.org/10.25758/set.2081https://journals.ipl.pt/stecnologia/article/view/563/490Direitos de Autor (c) 2022 Saúde & Tecnologiainfo:eu-repo/semantics/openAccessSantos, WilsonCarolino, ElisabeteFigueiredo, SérgioVieira, Lina2022-12-20T10:58:53Zoai:journals.ipl.pt:article/563Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:21:23.070610Repositório 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 the color scale in qualitative assessment of brain perfusion imaging Influência da escala de cores na avaliação qualitativa em cintigrafia de perfusão cerebral |
title |
Influence of the color scale in qualitative assessment of brain perfusion imaging |
spellingShingle |
Influence of the color scale in qualitative assessment of brain perfusion imaging Santos, Wilson Cintigrafia de perfusão cerebral Escala de cores Análise visual Avaliação qualitativa Brain perfusion imaging Color scale Visual analysis Qualitative assessment |
title_short |
Influence of the color scale in qualitative assessment of brain perfusion imaging |
title_full |
Influence of the color scale in qualitative assessment of brain perfusion imaging |
title_fullStr |
Influence of the color scale in qualitative assessment of brain perfusion imaging |
title_full_unstemmed |
Influence of the color scale in qualitative assessment of brain perfusion imaging |
title_sort |
Influence of the color scale in qualitative assessment of brain perfusion imaging |
author |
Santos, Wilson |
author_facet |
Santos, Wilson Carolino, Elisabete Figueiredo, Sérgio Vieira, Lina |
author_role |
author |
author2 |
Carolino, Elisabete Figueiredo, Sérgio Vieira, Lina |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santos, Wilson Carolino, Elisabete Figueiredo, Sérgio Vieira, Lina |
dc.subject.por.fl_str_mv |
Cintigrafia de perfusão cerebral Escala de cores Análise visual Avaliação qualitativa Brain perfusion imaging Color scale Visual analysis Qualitative assessment |
topic |
Cintigrafia de perfusão cerebral Escala de cores Análise visual Avaliação qualitativa Brain perfusion imaging Color scale Visual analysis Qualitative assessment |
description |
Introduction – Brain perfusion imaging (BPI) is an imaging study that allows the acquisition of three-dimensional tomographic images of the biodistribution of a tracer, reflecting regional brain perfusion. Therefore, the color scale used has a major role in the clinical interpretation of these images. Aim – To study the influence of the color scales in qualitative evaluation of the BPI and to conclude which are the most appropriate scales for the visual analysis. Methods – Thirty-one BPI studies were visually analyzed by 15 operators divided into two classes: operators without professional experience (10) and operators with professional experience (5) using the Cool, Gray, Gray Invert, Thermal, and Perfusion color scales. For the Cool color scale, the image analysis was performed through a semiquantitative score system. The remaining color scales were evaluated by comparison with the analysis of the images performed with the Cool color scale. Non-parametric Friedman Test was used to assess the interoperator variability (relative to the Cool color scale). The results obtained with the remaining color scales were evaluated according to the percentage of symbols the participants assigned during their visual analysis of the 31 studies. Results – Inter-operator variability has shown statistically significant differences among all participants (p<0.05). The results for the Perfusion color scale were the closest to the brain perfusion with Cool, and so is an alternative color scale for evaluation of brain perfusion images. Regarding Gray, Gray Invert, and Thermal color scales, their results were divergent, and thus should not be considered optimal for brain perfusion interpretation. Conclusion – The color scale selected can influence the qualitative assessment of BPI. Perfusion can be implemented in clinical practice as an alternative color scale for the analysis of BPI studies. Gray, Gray Invert, and Thermal color scales should not be considered optimal for brain perfusion interpretation. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-04 |
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 |
https://doi.org/10.25758/set.2081 oai:journals.ipl.pt:article/563 |
url |
https://doi.org/10.25758/set.2081 |
identifier_str_mv |
oai:journals.ipl.pt:article/563 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://journals.ipl.pt/stecnologia/article/view/563 https://doi.org/10.25758/set.2081 https://journals.ipl.pt/stecnologia/article/view/563/490 |
dc.rights.driver.fl_str_mv |
Direitos de Autor (c) 2022 Saúde & Tecnologia info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos de Autor (c) 2022 Saúde & Tecnologia |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Escola Superior de Tecnologia da Saúde de Lisboa (Instituto Politécnico de Lisboa) |
publisher.none.fl_str_mv |
Escola Superior de Tecnologia da Saúde de Lisboa (Instituto Politécnico de Lisboa) |
dc.source.none.fl_str_mv |
Saúde e Tecnologia; No. 18 (2017): Novembro 2017; 36-43 Saúde & Tecnologia; N.º 18 (2017): Novembro 2017; 36-43 1646-9704 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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