Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center

Detalhes bibliográficos
Autor(a) principal: Rodrigues,Ângela
Data de Publicação: 2020
Outros Autores: Negrão,Liana, Águas,Fernanda, Castro,Maria Geraldina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302020000300006
Resumo: Overview and Aims: The purpose of this study was to find the best ultrasound model for preoperative discrimination between benign and malignant adnexal masses in a group of Portuguese women. Methods: Single-centre retrospective study of 123 adnexal masses. The ultrasound images were described by an experienced ultrasonographer and classified as benign or malignant, according to IOTA simple rules (SR), RMI scoring and logistic regression model L2 (LR2). Two study groups were considered according to histologic diagnosis (benign and malignant). Borderline tumours were counted as malignant. The sensitivity, specificity, positive and negative predictive values (PPV and NPV) were calculated for IOTA SR; LR2 model; RMI score and use of serum CA 125 as a secondstage test in cases of IOTA SR complemented by subjective assessment. Results: Among the 123 tumours, 81.3% were benign and 18.7% were malignant on histolopathology. When inconclusive tumors were considered malignant, the IOTA SR had a sensitivity of 95.6%, specificity of 69.9%, PPV 46.8% and NPV of 98.3%. If inconclusive tumors were classified by subjective sonographic assessment, IOTA SR had a sensitivity of 91.3% and specificity of 78.3%. The LR2 model had a sensitivity of 91.3%, specificity 77.1%, PPV 63.6% and NPV 93.06%. Conclusion: IOTA SR and IOTA LR2 models achieved the best diagnostic accuracy for differentiating between benign or malignant adnexal masses. In case of inconclusive results, subjective assessment of ultrasound findings by expert examiners should be incorporated.
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spelling Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary centerAdnexal massesOvarian cancerIOTA simple rulesCA 125 levelUltrasound diagnostic accuracyOverview and Aims: The purpose of this study was to find the best ultrasound model for preoperative discrimination between benign and malignant adnexal masses in a group of Portuguese women. Methods: Single-centre retrospective study of 123 adnexal masses. The ultrasound images were described by an experienced ultrasonographer and classified as benign or malignant, according to IOTA simple rules (SR), RMI scoring and logistic regression model L2 (LR2). Two study groups were considered according to histologic diagnosis (benign and malignant). Borderline tumours were counted as malignant. The sensitivity, specificity, positive and negative predictive values (PPV and NPV) were calculated for IOTA SR; LR2 model; RMI score and use of serum CA 125 as a secondstage test in cases of IOTA SR complemented by subjective assessment. Results: Among the 123 tumours, 81.3% were benign and 18.7% were malignant on histolopathology. When inconclusive tumors were considered malignant, the IOTA SR had a sensitivity of 95.6%, specificity of 69.9%, PPV 46.8% and NPV of 98.3%. If inconclusive tumors were classified by subjective sonographic assessment, IOTA SR had a sensitivity of 91.3% and specificity of 78.3%. The LR2 model had a sensitivity of 91.3%, specificity 77.1%, PPV 63.6% and NPV 93.06%. Conclusion: IOTA SR and IOTA LR2 models achieved the best diagnostic accuracy for differentiating between benign or malignant adnexal masses. In case of inconclusive results, subjective assessment of ultrasound findings by expert examiners should be incorporated.Euromédice, Edições Médicas Lda.2020-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302020000300006Acta Obstétrica e Ginecológica Portuguesa v.14 n.3 2020reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302020000300006Rodrigues,ÂngelaNegrão,LianaÁguas,FernandaCastro,Maria Geraldinainfo:eu-repo/semantics/openAccess2024-02-06T17:21:49Zoai:scielo:S1646-58302020000300006Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:28:42.717466Repositório 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 Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center
title Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center
spellingShingle Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center
Rodrigues,Ângela
Adnexal masses
Ovarian cancer
IOTA simple rules
CA 125 level
Ultrasound diagnostic accuracy
title_short Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center
title_full Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center
title_fullStr Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center
title_full_unstemmed Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center
title_sort Performance of ultrasound models in diagnosis of Ovarian Cancer: Experience of a Portuguese tertiary center
author Rodrigues,Ângela
author_facet Rodrigues,Ângela
Negrão,Liana
Águas,Fernanda
Castro,Maria Geraldina
author_role author
author2 Negrão,Liana
Águas,Fernanda
Castro,Maria Geraldina
author2_role author
author
author
dc.contributor.author.fl_str_mv Rodrigues,Ângela
Negrão,Liana
Águas,Fernanda
Castro,Maria Geraldina
dc.subject.por.fl_str_mv Adnexal masses
Ovarian cancer
IOTA simple rules
CA 125 level
Ultrasound diagnostic accuracy
topic Adnexal masses
Ovarian cancer
IOTA simple rules
CA 125 level
Ultrasound diagnostic accuracy
description Overview and Aims: The purpose of this study was to find the best ultrasound model for preoperative discrimination between benign and malignant adnexal masses in a group of Portuguese women. Methods: Single-centre retrospective study of 123 adnexal masses. The ultrasound images were described by an experienced ultrasonographer and classified as benign or malignant, according to IOTA simple rules (SR), RMI scoring and logistic regression model L2 (LR2). Two study groups were considered according to histologic diagnosis (benign and malignant). Borderline tumours were counted as malignant. The sensitivity, specificity, positive and negative predictive values (PPV and NPV) were calculated for IOTA SR; LR2 model; RMI score and use of serum CA 125 as a secondstage test in cases of IOTA SR complemented by subjective assessment. Results: Among the 123 tumours, 81.3% were benign and 18.7% were malignant on histolopathology. When inconclusive tumors were considered malignant, the IOTA SR had a sensitivity of 95.6%, specificity of 69.9%, PPV 46.8% and NPV of 98.3%. If inconclusive tumors were classified by subjective sonographic assessment, IOTA SR had a sensitivity of 91.3% and specificity of 78.3%. The LR2 model had a sensitivity of 91.3%, specificity 77.1%, PPV 63.6% and NPV 93.06%. Conclusion: IOTA SR and IOTA LR2 models achieved the best diagnostic accuracy for differentiating between benign or malignant adnexal masses. In case of inconclusive results, subjective assessment of ultrasound findings by expert examiners should be incorporated.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-01
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dc.publisher.none.fl_str_mv Euromédice, Edições Médicas Lda.
publisher.none.fl_str_mv Euromédice, Edições Médicas Lda.
dc.source.none.fl_str_mv Acta Obstétrica e Ginecológica Portuguesa v.14 n.3 2020
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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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