Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology

Detalhes bibliográficos
Autor(a) principal: Almeida,João Ricardo Maltez de
Data de Publicação: 2017
Outros Autores: Gomes,André Boechat, Barros,Thomas Pitangueira, Fahel,Paulo Eduardo, Rocha,Mario de Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Radiologia Brasileira (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842017000300154
Resumo: Abstract Objective: To test the use of diffusion-weighted imaging (DWI) in stratifying suspicious breast lesions (BI-RADS 4), correlating them with histopathology. We also investigated the performance of DWI related to the main enhancement patterns (mass and non-mass) and tested its reproducibility. Materials and Methods: Seventy-six patients presented 92 lesions during the sampling period. Two independent examiners reviewed magnetic resonance imaging studies, described the lesions, and determined the apparent diffusion coefficient (ADC) values. Differences among benign, indeterminate- to high-risk, and malignant findings, in terms of the ADCs, were assessed by analysis of variance. Using receiver operating characteristic (ROC) curves, we compared the performance of ADC values in masses and non-mass lesions, and tested the reproducibility of measurements by determining the coefficient of variation and smallest real difference. Results: Among the 92 lesions evaluated, the histopathology showed that 37 were benign, 11 were indeterminate- to high-risk, and 44 were malignant. The mean ADC differed significantly among those histopathological groups, the value obtained for the malignant lesions (1.10 × 10-3 mm2/s) being significantly lower than that obtained for the other groups (p < 0.001). ROC curves demonstrated that DWI performed better when applied to masses than when applied to non-mass lesions (area under the curve, 0.88 vs. 0.67). Reproducibility was good (coefficient of variation, 7.03%; and smallest real difference, ± 0.242 × 10-3 mm2/s). Conclusion: DWI can differentiate between malignant and nonmalignant (benign or indeterminate- to high-risk) lesions, showing better performance for masses. Nevertheless, stratification based on histopathological criteria that are more refined has yet to be achieved.
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spelling Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathologyMagnetic resonance imagingBreast neoplasmsDiffusion magnetic resonance imaging/methodsNeoplasms/pathologyAbstract Objective: To test the use of diffusion-weighted imaging (DWI) in stratifying suspicious breast lesions (BI-RADS 4), correlating them with histopathology. We also investigated the performance of DWI related to the main enhancement patterns (mass and non-mass) and tested its reproducibility. Materials and Methods: Seventy-six patients presented 92 lesions during the sampling period. Two independent examiners reviewed magnetic resonance imaging studies, described the lesions, and determined the apparent diffusion coefficient (ADC) values. Differences among benign, indeterminate- to high-risk, and malignant findings, in terms of the ADCs, were assessed by analysis of variance. Using receiver operating characteristic (ROC) curves, we compared the performance of ADC values in masses and non-mass lesions, and tested the reproducibility of measurements by determining the coefficient of variation and smallest real difference. Results: Among the 92 lesions evaluated, the histopathology showed that 37 were benign, 11 were indeterminate- to high-risk, and 44 were malignant. The mean ADC differed significantly among those histopathological groups, the value obtained for the malignant lesions (1.10 × 10-3 mm2/s) being significantly lower than that obtained for the other groups (p < 0.001). ROC curves demonstrated that DWI performed better when applied to masses than when applied to non-mass lesions (area under the curve, 0.88 vs. 0.67). Reproducibility was good (coefficient of variation, 7.03%; and smallest real difference, ± 0.242 × 10-3 mm2/s). Conclusion: DWI can differentiate between malignant and nonmalignant (benign or indeterminate- to high-risk) lesions, showing better performance for masses. Nevertheless, stratification based on histopathological criteria that are more refined has yet to be achieved.Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem2017-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842017000300154Radiologia Brasileira v.50 n.3 2017reponame:Radiologia Brasileira (Online)instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)instacron:CBR10.1590/0100-3984.2015.0224info:eu-repo/semantics/openAccessAlmeida,João Ricardo Maltez deGomes,André BoechatBarros,Thomas PitangueiraFahel,Paulo EduardoRocha,Mario de Souzaeng2017-07-03T00:00:00Zoai:scielo:S0100-39842017000300154Revistahttps://www.scielo.br/j/rb/https://old.scielo.br/oai/scielo-oai.phpradiologiabrasileira@cbr.org.br1678-70990100-3984opendoar:2017-07-03T00:00Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)false
dc.title.none.fl_str_mv Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology
title Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology
spellingShingle Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology
Almeida,João Ricardo Maltez de
Magnetic resonance imaging
Breast neoplasms
Diffusion magnetic resonance imaging/methods
Neoplasms/pathology
title_short Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology
title_full Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology
title_fullStr Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology
title_full_unstemmed Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology
title_sort Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology
author Almeida,João Ricardo Maltez de
author_facet Almeida,João Ricardo Maltez de
Gomes,André Boechat
Barros,Thomas Pitangueira
Fahel,Paulo Eduardo
Rocha,Mario de Souza
author_role author
author2 Gomes,André Boechat
Barros,Thomas Pitangueira
Fahel,Paulo Eduardo
Rocha,Mario de Souza
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Almeida,João Ricardo Maltez de
Gomes,André Boechat
Barros,Thomas Pitangueira
Fahel,Paulo Eduardo
Rocha,Mario de Souza
dc.subject.por.fl_str_mv Magnetic resonance imaging
Breast neoplasms
Diffusion magnetic resonance imaging/methods
Neoplasms/pathology
topic Magnetic resonance imaging
Breast neoplasms
Diffusion magnetic resonance imaging/methods
Neoplasms/pathology
description Abstract Objective: To test the use of diffusion-weighted imaging (DWI) in stratifying suspicious breast lesions (BI-RADS 4), correlating them with histopathology. We also investigated the performance of DWI related to the main enhancement patterns (mass and non-mass) and tested its reproducibility. Materials and Methods: Seventy-six patients presented 92 lesions during the sampling period. Two independent examiners reviewed magnetic resonance imaging studies, described the lesions, and determined the apparent diffusion coefficient (ADC) values. Differences among benign, indeterminate- to high-risk, and malignant findings, in terms of the ADCs, were assessed by analysis of variance. Using receiver operating characteristic (ROC) curves, we compared the performance of ADC values in masses and non-mass lesions, and tested the reproducibility of measurements by determining the coefficient of variation and smallest real difference. Results: Among the 92 lesions evaluated, the histopathology showed that 37 were benign, 11 were indeterminate- to high-risk, and 44 were malignant. The mean ADC differed significantly among those histopathological groups, the value obtained for the malignant lesions (1.10 × 10-3 mm2/s) being significantly lower than that obtained for the other groups (p < 0.001). ROC curves demonstrated that DWI performed better when applied to masses than when applied to non-mass lesions (area under the curve, 0.88 vs. 0.67). Reproducibility was good (coefficient of variation, 7.03%; and smallest real difference, ± 0.242 × 10-3 mm2/s). Conclusion: DWI can differentiate between malignant and nonmalignant (benign or indeterminate- to high-risk) lesions, showing better performance for masses. Nevertheless, stratification based on histopathological criteria that are more refined has yet to be achieved.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842017000300154
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842017000300154
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0100-3984.2015.0224
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem
publisher.none.fl_str_mv Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem
dc.source.none.fl_str_mv Radiologia Brasileira v.50 n.3 2017
reponame:Radiologia Brasileira (Online)
instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)
instacron:CBR
instname_str Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)
instacron_str CBR
institution CBR
reponame_str Radiologia Brasileira (Online)
collection Radiologia Brasileira (Online)
repository.name.fl_str_mv Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)
repository.mail.fl_str_mv radiologiabrasileira@cbr.org.br
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