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Ultrasound Strain Elastography for Breast Lesions: Computer‐Aided Evaluation With Quantifiable Elastographic Features

2017; Wiley; Volume: 36; Issue: 6 Linguagem: Inglês

10.7863/ultra.16.01032

1550-9613

Yang Xiao, Jie Zeng, Xue Zhang, Lili Niu, Ming Qian, Congzhi Wang, Hairong Zheng, Rongqin Zheng,

Ultrasound and Hyperthermia Applications

Journal of Ultrasound in MedicineVolume 36, Issue 6 p. 1089-1100 Original Research Ultrasound Strain Elastography for Breast Lesions: Computer-Aided Evaluation With Quantifiable Elastographic Features Yang Xiao PhD, Yang Xiao PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorJie Zeng MD, Jie Zeng MD Department of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, ChinaSearch for more papers by this authorXue Zhang MS, Xue Zhang MS Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorLi-Li Niu PhD, Li-Li Niu PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorMing Qian PhD, Ming Qian PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorCong-Zhi Wang PhD, Cong-Zhi Wang PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorHai-Rong Zheng PhD, Hai-Rong Zheng PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorRong-Qin Zheng MD, Corresponding Author Rong-Qin Zheng MD zhengrq@mail.sysu.edu.cn Department of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, ChinaAddress correspondence to Rong-Qin Zheng, MD, Department of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou 510630, China. E-mail: zhengrq@mail.sysu.edu.cnSearch for more papers by this author Yang Xiao PhD, Yang Xiao PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorJie Zeng MD, Jie Zeng MD Department of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, ChinaSearch for more papers by this authorXue Zhang MS, Xue Zhang MS Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorLi-Li Niu PhD, Li-Li Niu PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorMing Qian PhD, Ming Qian PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorCong-Zhi Wang PhD, Cong-Zhi Wang PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorHai-Rong Zheng PhD, Hai-Rong Zheng PhD Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSearch for more papers by this authorRong-Qin Zheng MD, Corresponding Author Rong-Qin Zheng MD zhengrq@mail.sysu.edu.cn Department of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, ChinaAddress correspondence to Rong-Qin Zheng, MD, Department of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou 510630, China. E-mail: zhengrq@mail.sysu.edu.cnSearch for more papers by this author First published: 10 March 2017 https://doi.org/10.7863/ultra.16.01032Citations: 8 This work was supported by National Science Foundation Grants (61302039 and 1111302239) and Shenzhen Technology Tackling Projects (JSGG 201405 19112701894). Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Objectives To develop and evaluate a set of quantifiable elastographic features based on ultrasound real-time strain elastography (SE) in differentiating between benign and malignant breast lesions. Methods The SE and conventional B-mode ultrasound images of 226 breast lesions (81 malignant, 145 benign) were obtained from 226 consecutive women. By using a computer-aided tool, four elastographic features (elasticity score, lesion stiffness degree, lesion-to-fat strain ratio, and elastography-to-B-mode lesion area ratio) were respectively calculated and evaluated. Histopathologic results were used as the reference standard. B-mode Breast Imaging Reporting and Data System categorization was used to compare the performances between B-mode ultrasound and SE. Sensitivity, specificity, positive and negative predictive values, and receiver operating characteristic curve analyses were performed to evaluate the diagnostic performances for three data sets (conventional B-mode ultrasound alone, SE features alone, combined SE features). Results Quantifiable SE features for malignant lesions all showed significantly higher values than those for benign lesions (all P < .001). The evaluation with any individual SE feature significantly improved the specificity in breast lesion differentiation compared with B-mode ultrasound (all P <.001). The logistic regression model combing SE features significantly improved the diagnostic performance compared with B-mode US, with significantly increased specificity (95.2% versus 54.5%; P < .001) and area under the receiver operating characteristic curve (0.988 versus 0.921, P < .001). Conclusions Computer-aided tool with SE provided further elasticity information for breast characterization. Evaluation using quantifiable SE features showed better diagnostic performance than conventional B-mode ultrasound in breast lesion differentiation. Citing Literature Volume36, Issue6June 2017Pages 1089-1100 RelatedInformation