MUGA processing: intra and interoperator variability impact using manual and automated methods

Detalhes bibliográficos
Autor(a) principal: Belo, Rita
Data de Publicação: 2022
Outros Autores: Carvalhal, Cristiana, Figueiredo, Sérgio, carol, Elisabete, 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.2225
Resumo: Introduction – Multigated acquisition (MUGA) scan is mainly used for the assessment of left ventricular ejection fraction (LVEF) in patients who undergo cardiotoxic chemotherapy drugs. When applying automatic (A) or manual (M) processing methods, some biases in the quantitative metrics can be obtained. The aim of this study is to evaluate the influence of A and M methods, specifically, the inter and intraoperative variability in accordance with the professional experience. Methods – A retrospective study was performed with 14 MUGA exams available in ESTeSL’s Xeleris™ Functional Imaging Workstation v. 1.0628 database. Three operators (OP) with no professional experience and two with more than 10 years of experience, processed every study five times for each method, using the EF Analysis™ and the Peak Filling Rate™. To perform the multiple comparisons, the Repeated Measures ANOVA, Friedman, t-test, and Wilcoxon tests were used, considering α=0.05. Results – Four of the OP presented statistically significant differences between methods in one or more parameters; similar values between experienced OP and between the non-experienced were observed when the A method was applied, and higher discrepancies were present for all parameters obtained by the M mode; higher LVEF, peak filling rate, and peak empying rate values were observed for the M method. Conclusion – Variability was found when comparing M and A processing methods, as well as interoperator variability associated with their level of experience. Despite that, there was a trend of less variability between the two experienced OP and in the A method.
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spelling MUGA processing: intra and interoperator variability impact using manual and automated methodsProcessamento de estudos de angiografia de radionuclídeos em equilíbrio: impacto da variabilidade intra e interoperador por métodos manuais e automáticosAngiografia de radionuclídeos em equilíbrioFunção cardíacaSegmentaçãoFração de ejeção do ventrículo esquerdoParâmetros diastólicosEquilibrium radionuclide angiographyCardiac functionSegmentationLeft ventricular ejection fractionDiastolic parametersIntroduction – Multigated acquisition (MUGA) scan is mainly used for the assessment of left ventricular ejection fraction (LVEF) in patients who undergo cardiotoxic chemotherapy drugs. When applying automatic (A) or manual (M) processing methods, some biases in the quantitative metrics can be obtained. The aim of this study is to evaluate the influence of A and M methods, specifically, the inter and intraoperative variability in accordance with the professional experience. Methods – A retrospective study was performed with 14 MUGA exams available in ESTeSL’s Xeleris™ Functional Imaging Workstation v. 1.0628 database. Three operators (OP) with no professional experience and two with more than 10 years of experience, processed every study five times for each method, using the EF Analysis™ and the Peak Filling Rate™. To perform the multiple comparisons, the Repeated Measures ANOVA, Friedman, t-test, and Wilcoxon tests were used, considering α=0.05. Results – Four of the OP presented statistically significant differences between methods in one or more parameters; similar values between experienced OP and between the non-experienced were observed when the A method was applied, and higher discrepancies were present for all parameters obtained by the M mode; higher LVEF, peak filling rate, and peak empying rate values were observed for the M method. Conclusion – Variability was found when comparing M and A processing methods, as well as interoperator variability associated with their level of experience. Despite that, there was a trend of less variability between the two experienced OP and in the A method.Introdução – A angiografia de radionuclídeos em equilíbrio (ARNe) é principalmente realizada para determinar a fração de ejeção do ventrículo esquerdo (FEVE) em doentes submetidos a quimioterápicos cardiotóxicos. Quando aplicados métodos de processamento automáticos (A) ou manuais (M) podem ser obtidas distorções métricas. Este estudo teve como objetivo aferir a influência dos métodos A e M e avaliar a variabilidade inter e intraoperador associada a diferentes experiências profissionais. Métodos – Estudo retrospetivo com 14 exames ARNe existentes na base de dados da estação de processamento Xeleris™ Functional Imaging Workstation v. 1.0628 da ESTeSL. Três operadores (OP) sem experiência profissional e dois com mais de dez anos de experiência processaram cada estudo cinco vezes por cada método, recorrendo ao EF Analysis™ e ao Peak Filling Rate™. As múltiplas comparações foram realizadas com os testes ANOVA de medidas repetidas, Friedman, teste-t e Wilcoxon, considerando α=0,05. Resultados – Quatro dos OP apresentaram diferenças estatisticamente significativas entre métodos para um ou mais parâmetros; foram obtidos valores semelhantes entre os OP experientes e entre os não experientes quando se aplicou o método A e observaram-se maiores discrepâncias para todos os parâmetros obtidos pelo método M; obtiveram-se valores superiores de FEVE, taxas de esvaziamento e preenchimento máximas com o método M. Conclusão – Verificou-se variabilidade dos resultados obtidos a partir da comparação dos métodos de processamento M e A, bem como variabilidade do interoperador associada ao seu nível de experiência profissional. Contudo os dois OP experientes apresentaram menor discrepância de valores entre si e para o método A.Escola Superior de Tecnologia da Saúde de Lisboa (Instituto Politécnico de Lisboa)2022-07-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.25758/set.2225oai:journals.ipl.pt:article/533Saúde e Tecnologia; No. 22 (2019): Novembro 2019; 22-27Saúde & Tecnologia; N.º 22 (2019): Novembro 2019; 22-271646-9704reponame: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/533https://doi.org/10.25758/set.2225https://journals.ipl.pt/stecnologia/article/view/533/459Direitos de Autor (c) 2022 Saúde & Tecnologiainfo:eu-repo/semantics/openAccessBelo, RitaCarvalhal, CristianaFigueiredo, Sérgiocarol, ElisabeteVieira, Lina2022-12-20T10:58:43Zoai:journals.ipl.pt:article/533Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:21:21.291745Repositório 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 MUGA processing: intra and interoperator variability impact using manual and automated methods
Processamento de estudos de angiografia de radionuclídeos em equilíbrio: impacto da variabilidade intra e interoperador por métodos manuais e automáticos
title MUGA processing: intra and interoperator variability impact using manual and automated methods
spellingShingle MUGA processing: intra and interoperator variability impact using manual and automated methods
Belo, Rita
Angiografia de radionuclídeos em equilíbrio
Função cardíaca
Segmentação
Fração de ejeção do ventrículo esquerdo
Parâmetros diastólicos
Equilibrium radionuclide angiography
Cardiac function
Segmentation
Left ventricular ejection fraction
Diastolic parameters
title_short MUGA processing: intra and interoperator variability impact using manual and automated methods
title_full MUGA processing: intra and interoperator variability impact using manual and automated methods
title_fullStr MUGA processing: intra and interoperator variability impact using manual and automated methods
title_full_unstemmed MUGA processing: intra and interoperator variability impact using manual and automated methods
title_sort MUGA processing: intra and interoperator variability impact using manual and automated methods
author Belo, Rita
author_facet Belo, Rita
Carvalhal, Cristiana
Figueiredo, Sérgio
carol, Elisabete
Vieira, Lina
author_role author
author2 Carvalhal, Cristiana
Figueiredo, Sérgio
carol, Elisabete
Vieira, Lina
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Belo, Rita
Carvalhal, Cristiana
Figueiredo, Sérgio
carol, Elisabete
Vieira, Lina
dc.subject.por.fl_str_mv Angiografia de radionuclídeos em equilíbrio
Função cardíaca
Segmentação
Fração de ejeção do ventrículo esquerdo
Parâmetros diastólicos
Equilibrium radionuclide angiography
Cardiac function
Segmentation
Left ventricular ejection fraction
Diastolic parameters
topic Angiografia de radionuclídeos em equilíbrio
Função cardíaca
Segmentação
Fração de ejeção do ventrículo esquerdo
Parâmetros diastólicos
Equilibrium radionuclide angiography
Cardiac function
Segmentation
Left ventricular ejection fraction
Diastolic parameters
description Introduction – Multigated acquisition (MUGA) scan is mainly used for the assessment of left ventricular ejection fraction (LVEF) in patients who undergo cardiotoxic chemotherapy drugs. When applying automatic (A) or manual (M) processing methods, some biases in the quantitative metrics can be obtained. The aim of this study is to evaluate the influence of A and M methods, specifically, the inter and intraoperative variability in accordance with the professional experience. Methods – A retrospective study was performed with 14 MUGA exams available in ESTeSL’s Xeleris™ Functional Imaging Workstation v. 1.0628 database. Three operators (OP) with no professional experience and two with more than 10 years of experience, processed every study five times for each method, using the EF Analysis™ and the Peak Filling Rate™. To perform the multiple comparisons, the Repeated Measures ANOVA, Friedman, t-test, and Wilcoxon tests were used, considering α=0.05. Results – Four of the OP presented statistically significant differences between methods in one or more parameters; similar values between experienced OP and between the non-experienced were observed when the A method was applied, and higher discrepancies were present for all parameters obtained by the M mode; higher LVEF, peak filling rate, and peak empying rate values were observed for the M method. Conclusion – Variability was found when comparing M and A processing methods, as well as interoperator variability associated with their level of experience. Despite that, there was a trend of less variability between the two experienced OP and in the A method.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.25758/set.2225
oai:journals.ipl.pt:article/533
url https://doi.org/10.25758/set.2225
identifier_str_mv oai:journals.ipl.pt:article/533
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://journals.ipl.pt/stecnologia/article/view/533
https://doi.org/10.25758/set.2225
https://journals.ipl.pt/stecnologia/article/view/533/459
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. 22 (2019): Novembro 2019; 22-27
Saúde & Tecnologia; N.º 22 (2019): Novembro 2019; 22-27
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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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
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