Influence of the color scale in qualitative assessment of brain perfusion imaging

Detalhes bibliográficos
Autor(a) principal: Santos, Wilson
Data de Publicação: 2022
Outros Autores: Carolino, Elisabete, Figueiredo, Sérgio, Vieira, Lina
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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spelling 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
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dc.identifier.uri.fl_str_mv https://doi.org/10.25758/set.2081
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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
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