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Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses

OBJECTIVES: To perform a meta-analysis assessing the ability of shear wave elastography (SWE) to identify malignant breast masses. METHODS: PubMed, the Cochrane Library, and the ISI Web of Knowledge were searched for studies evaluating the accuracy of SWE for identifying malignant breast masses. The...

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Autores principales: Li, Guiling, Li, De-Wei, Fang, Yu-Xiao, Song, Yi-Jiang, Deng, Zhu-Jun, Gao, Jian, Xie, Yan, Yin, Tian-Sheng, Ying, Li, Tang, Kai-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799848/
https://www.ncbi.nlm.nih.gov/pubmed/24204613
http://dx.doi.org/10.1371/journal.pone.0076322
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author Li, Guiling
Li, De-Wei
Fang, Yu-Xiao
Song, Yi-Jiang
Deng, Zhu-Jun
Gao, Jian
Xie, Yan
Yin, Tian-Sheng
Ying, Li
Tang, Kai-Fu
author_facet Li, Guiling
Li, De-Wei
Fang, Yu-Xiao
Song, Yi-Jiang
Deng, Zhu-Jun
Gao, Jian
Xie, Yan
Yin, Tian-Sheng
Ying, Li
Tang, Kai-Fu
author_sort Li, Guiling
collection PubMed
description OBJECTIVES: To perform a meta-analysis assessing the ability of shear wave elastography (SWE) to identify malignant breast masses. METHODS: PubMed, the Cochrane Library, and the ISI Web of Knowledge were searched for studies evaluating the accuracy of SWE for identifying malignant breast masses. The diagnostic accuracy of SWE was evaluated according to sensitivity, specificity, and hierarchical summary receiver operating characteristic (HSROC) curves. An analysis was also performed according to the SWE mode used: supersonic shear imaging (SSI) and the acoustic radiation force impulse (ARFI) technique. The clinical utility of SWE for identifying malignant breast masses was evaluated using analysis of Fagan plot. RESULTS: A total of 9 studies, including 1888 women and 2000 breast masses, were analyzed. Summary sensitivities and specificities were 0.91 (95% confidence interval [CI], 0.88–0.94) and 0.82 (95% CI, 0.75–0.87) by SSI and 0.89 (95% CI, 0.81–0.94) and 0.91 (95% CI, 0.84–0.95) by ARFI, respectively. The HSROCs for SSI and ARFI were 0.92 (95% CI, 0.90–0.94) and 0.96 (95% CI, 0.93–0.97), respectively. SSI and ARFI were both very informative, with probabilities of 83% and 91%, respectively, for correctly differentiating between benign and malignant breast masses following a “positive” measurement (over the threshold value) and probabilities of disease as low as 10% and 11%, respectively, following a “negative” measurement (below the threshold value) when the pre-test probability was 50%. CONCLUSIONS: SWE could be used as a good identification tool for the classification of breast masses.
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spelling pubmed-37998482013-11-07 Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses Li, Guiling Li, De-Wei Fang, Yu-Xiao Song, Yi-Jiang Deng, Zhu-Jun Gao, Jian Xie, Yan Yin, Tian-Sheng Ying, Li Tang, Kai-Fu PLoS One Research Article OBJECTIVES: To perform a meta-analysis assessing the ability of shear wave elastography (SWE) to identify malignant breast masses. METHODS: PubMed, the Cochrane Library, and the ISI Web of Knowledge were searched for studies evaluating the accuracy of SWE for identifying malignant breast masses. The diagnostic accuracy of SWE was evaluated according to sensitivity, specificity, and hierarchical summary receiver operating characteristic (HSROC) curves. An analysis was also performed according to the SWE mode used: supersonic shear imaging (SSI) and the acoustic radiation force impulse (ARFI) technique. The clinical utility of SWE for identifying malignant breast masses was evaluated using analysis of Fagan plot. RESULTS: A total of 9 studies, including 1888 women and 2000 breast masses, were analyzed. Summary sensitivities and specificities were 0.91 (95% confidence interval [CI], 0.88–0.94) and 0.82 (95% CI, 0.75–0.87) by SSI and 0.89 (95% CI, 0.81–0.94) and 0.91 (95% CI, 0.84–0.95) by ARFI, respectively. The HSROCs for SSI and ARFI were 0.92 (95% CI, 0.90–0.94) and 0.96 (95% CI, 0.93–0.97), respectively. SSI and ARFI were both very informative, with probabilities of 83% and 91%, respectively, for correctly differentiating between benign and malignant breast masses following a “positive” measurement (over the threshold value) and probabilities of disease as low as 10% and 11%, respectively, following a “negative” measurement (below the threshold value) when the pre-test probability was 50%. CONCLUSIONS: SWE could be used as a good identification tool for the classification of breast masses. Public Library of Science 2013-10-18 /pmc/articles/PMC3799848/ /pubmed/24204613 http://dx.doi.org/10.1371/journal.pone.0076322 Text en © 2013 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Guiling
Li, De-Wei
Fang, Yu-Xiao
Song, Yi-Jiang
Deng, Zhu-Jun
Gao, Jian
Xie, Yan
Yin, Tian-Sheng
Ying, Li
Tang, Kai-Fu
Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses
title Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses
title_full Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses
title_fullStr Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses
title_full_unstemmed Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses
title_short Performance of Shear Wave Elastography for Differentiation of Benign and Malignant Solid Breast Masses
title_sort performance of shear wave elastography for differentiation of benign and malignant solid breast masses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799848/
https://www.ncbi.nlm.nih.gov/pubmed/24204613
http://dx.doi.org/10.1371/journal.pone.0076322
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