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Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses

BACKGROUND: Three-dimensional (3-D) ultrasound is commonly used for screening breast cancer; however, the diagnostic accuracy of this method is unknown. Here, we performed a systematic search on the literature to assess the clinical utility of 3-D ultrasound in benign and malignant breast masses. MA...

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Autores principales: Fu, Jun, Li, Yanyan, Li, Na, Li, Zhanzhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132230/
https://www.ncbi.nlm.nih.gov/pubmed/30233245
http://dx.doi.org/10.2147/CMAR.S176494
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author Fu, Jun
Li, Yanyan
Li, Na
Li, Zhanzhan
author_facet Fu, Jun
Li, Yanyan
Li, Na
Li, Zhanzhan
author_sort Fu, Jun
collection PubMed
description BACKGROUND: Three-dimensional (3-D) ultrasound is commonly used for screening breast cancer; however, the diagnostic accuracy of this method is unknown. Here, we performed a systematic search on the literature to assess the clinical utility of 3-D ultrasound in benign and malignant breast masses. MATERIALS AND METHODS: We conducted searches in several online databases covering all publications prior to August 15, 2017. The bivariate random effects model was used to assess the overall sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary area under receiver operating curve (AUC) with their corresponding 95% CI. RESULTS: The overall sensitivity of 3-D ultrasound for diagnosing benign and malignant breast masses was 89% (95% CI, 83%–93%) and the specificity was 88% (95% CI, 83%–92%) with high heterogeneity (I(2)=81.9; 95% CI, 74.4–89.3, P<0.001). Other parameters used to assess efficacy included PLR (5.57; 95% CI, 3.73–8.31), NLR (0.18; 95% CI, 0.11–0.28), and DOR (31.33; 95% CI, 15.19–64.61). The use of a Fagan diagram with a pretest probability of 20% yields a post-test probability of 65% with a PLR of 7. True post-test probability was calculated at 3%, with an NLR of 0.13. The summary receiver operating characteristic curve was 0.94 (95% CI, 0.92–0.96), with no evidence of publication bias. CONCLUSION: Three-dimensional ultrasound offers high sensitivity and specificity, with a high AUC, indicating a strong diagnostic value for detecting benign and malignant breast masses. Three-dimensional ultrasound may therefore represent an excellent option for secondary analysis of unclear breast lesions.
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spelling pubmed-61322302018-09-19 Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses Fu, Jun Li, Yanyan Li, Na Li, Zhanzhan Cancer Manag Res Original Research BACKGROUND: Three-dimensional (3-D) ultrasound is commonly used for screening breast cancer; however, the diagnostic accuracy of this method is unknown. Here, we performed a systematic search on the literature to assess the clinical utility of 3-D ultrasound in benign and malignant breast masses. MATERIALS AND METHODS: We conducted searches in several online databases covering all publications prior to August 15, 2017. The bivariate random effects model was used to assess the overall sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary area under receiver operating curve (AUC) with their corresponding 95% CI. RESULTS: The overall sensitivity of 3-D ultrasound for diagnosing benign and malignant breast masses was 89% (95% CI, 83%–93%) and the specificity was 88% (95% CI, 83%–92%) with high heterogeneity (I(2)=81.9; 95% CI, 74.4–89.3, P<0.001). Other parameters used to assess efficacy included PLR (5.57; 95% CI, 3.73–8.31), NLR (0.18; 95% CI, 0.11–0.28), and DOR (31.33; 95% CI, 15.19–64.61). The use of a Fagan diagram with a pretest probability of 20% yields a post-test probability of 65% with a PLR of 7. True post-test probability was calculated at 3%, with an NLR of 0.13. The summary receiver operating characteristic curve was 0.94 (95% CI, 0.92–0.96), with no evidence of publication bias. CONCLUSION: Three-dimensional ultrasound offers high sensitivity and specificity, with a high AUC, indicating a strong diagnostic value for detecting benign and malignant breast masses. Three-dimensional ultrasound may therefore represent an excellent option for secondary analysis of unclear breast lesions. Dove Medical Press 2018-09-06 /pmc/articles/PMC6132230/ /pubmed/30233245 http://dx.doi.org/10.2147/CMAR.S176494 Text en © 2018 Fu et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Fu, Jun
Li, Yanyan
Li, Na
Li, Zhanzhan
Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses
title Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses
title_full Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses
title_fullStr Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses
title_full_unstemmed Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses
title_short Comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses
title_sort comprehensive analysis of clinical utility of three-dimensional ultrasound for benign and malignant breast masses
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132230/
https://www.ncbi.nlm.nih.gov/pubmed/30233245
http://dx.doi.org/10.2147/CMAR.S176494
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