Literature DB >> 26778289

Breast Lesions: Quantitative Diagnosis Using Ultrasound Shear Wave Elastography-A Systematic Review and Meta--Analysis.

Baoxian Liu1, Yanling Zheng1, Guangliang Huang1, Manxia Lin1, Quanyuan Shan1, Ying Lu1, Wenshuo Tian1, Xiaoyan Xie2.   

Abstract

The aim of this meta-analysis was to estimate the diagnostic performance of shear wave elastography (SWE) in differentiating malignant from benign breast lesions. A literature search of PubMed, Web of Science and Scopus up to November 2014 was conducted. A summary receiver operating characteristic curve was constructed, and pooled weighted estimates of sensitivity and specificity were calculated using a bivariate mixed-effects regression model. Thirty-three studies, which included a total of 5838 lesions (2093 malignant, 3745 benign) from 5397 patients, were finally analyzed. Summary sensitivity and specificity were 0.886 (95% confidence interval [CI], 0.858-0.909) and 0.866 (95% CI, 0.833-0.894), respectively. The pooled diagnostic odds ratio was 50.410 (95% CI, 34.972-72.664). And the area under the receiver operating characteristic curve of SWE was 0.94 (95% CI, 0.91-0.96). No publication bias existed among these studies (p = 0.245). In the subgroup analysis, sensitivity and specificity were 0.862 (95% CI, 0.811-0.901) and 0.875 (95% CI, 0.793-0.928) among 1552 lesions from 1429 patients in the 12 studies using acoustic radiation force impulse imaging and 0.897 (95% CI, 0.863-0.923) and 0.863 (95% CI, 0.831-0.889) among another 4436 lesions from 4097 patients in the 21 studies using supersonic shear imaging. When analysis confined to 9 studies evaluated the diagnostic performance of combination SWE and conventional ultrasound, the area under the curve was 0.96 (95% CI, 0.94-0.97), yielding a sensitivity of 0.971 (95% CI, 0.941-0.986) and specificity of 0.801 (95% CI, 0.733-0.856). SWE seems to be a good quantitative method for differentiating breast lesions, with promise for integration into routine imaging protocols.
Copyright © 2016. Published by Elsevier Inc.

Entities:  

Keywords:  Acoustic radiation force impulse imaging; Breast lesions; Meta-analysis; Shear wave elastography; Supersonic shear imaging; Ultrasound

Mesh:

Year:  2016        PMID: 26778289     DOI: 10.1016/j.ultrasmedbio.2015.10.024

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  20 in total

1.  Diagnostic performance of shear wave elastography in discriminating malignant and benign breast lesions : Our experience with QelaXtoTM software.

Authors:  Karina Pesce; Fernando Binder; María José Chico; María Paz Swiecicki; Diana Herbas Galindo; Sergio Terrasa
Journal:  J Ultrasound       Date:  2020-06-11

2.  Ultrasound positive predictive values by BI-RADS categories 3-5 for solid masses: An independent reader study.

Authors:  A Thomas Stavros; Andrea G Freitas; Giselle G N deMello; Lora Barke; Dennis McDonald; Terese Kaske; Ducly Wolverton; Arnold Honick; Daniela Stanzani; Adriana H Padovan; Ana Paula C Moura; Marilia C V de Campos
Journal:  Eur Radiol       Date:  2017-04-10       Impact factor: 5.315

3.  Breast tissue stiffness estimation for surgical guidance using gravity-induced excitation.

Authors:  Rebekah H Griesenauer; Jared A Weis; Lori R Arlinghaus; Ingrid M Meszoely; Michael I Miga
Journal:  Phys Med Biol       Date:  2017-05-18       Impact factor: 3.609

4.  Building an open-source simulation platform of acoustic radiation force-based breast elastography.

Authors:  Yu Wang; Bo Peng; Jingfeng Jiang
Journal:  Phys Med Biol       Date:  2017-01-11       Impact factor: 3.609

Review 5.  Machine learning for medical ultrasound: status, methods, and future opportunities.

Authors:  Laura J Brattain; Brian A Telfer; Manish Dhyani; Joseph R Grajo; Anthony E Samir
Journal:  Abdom Radiol (NY)       Date:  2018-04

6.  Quantitative Multiparametric Breast Ultrasound: Application of Contrast-Enhanced Ultrasound and Elastography Leads to an Improved Differentiation of Benign and Malignant Lesions.

Authors:  Panagiotis Kapetas; Paola Clauser; Ramona Woitek; Georg J Wengert; Mathias Lazar; Katja Pinker; Thomas H Helbich; Pascal A T Baltzer
Journal:  Invest Radiol       Date:  2019-05       Impact factor: 6.016

Review 7.  Principles of ultrasound elastography.

Authors:  Arinc Ozturk; Joseph R Grajo; Manish Dhyani; Brian W Anthony; Anthony E Samir
Journal:  Abdom Radiol (NY)       Date:  2018-04

8.  Quality Measurement of Two-dimensional Shear Wave Speed Imaging for Breast Lesions: the Associated Factors and the Impact to Diagnostic Performance.

Authors:  Dan-Dan Li; Hui-Xiong Xu; Bo-Ji Liu; Xiao-Wan Bo; Xiao-Long Li; Rong Wu
Journal:  Sci Rep       Date:  2017-07-11       Impact factor: 4.379

Review 9.  Non-invasive evaluation of intestinal disorders: The role of elastographic techniques.

Authors:  Federica Branchi; Flavio Caprioli; Stefania Orlando; Dario Conte; Mirella Fraquelli
Journal:  World J Gastroenterol       Date:  2017-04-28       Impact factor: 5.742

Review 10.  Shear-wave elastography in breast ultrasonography: the state of the art.

Authors:  Ji Hyun Youk; Hye Mi Gweon; Eun Ju Son
Journal:  Ultrasonography       Date:  2017-04-05
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