Literature DB >> 20498561

Real-time ultrasound elasticity of the breast: initial clinical results.

Richard G Barr1.   

Abstract

PURPOSE: To determine the sensitivity and specificity of a real-time elasticity imaging (EI) ultrasound (US) system in the characterization of breast lesions as benign or malignant.
METHODS: A total of 208 patients with 251 lesions were scheduled to undergo a US-guided breast biopsy for a mass identified on B-mode US, and each received a real-time elasticity image of the lesion before the biopsy. The lesion size measurements were obtained, and the EI/B-mode size ratio was obtained. The pathology report was obtained and correlated with the EI/B-mode ratio. An EI/B-mode ratio equal to or greater than 1 was considered malignant lesion, whereas EI/B-mode ratios of less than 1 were considered benign. Sensitivity, specificity, positive predictive values, and negative predictive values were calculated.
RESULTS: Of the 251 lesions biopsied, 197 were pathologically benign, and 54 were malignant. Of the 54 malignant lesions, all had an EI/B-mode ratio equal to or greater than 1. Of the 197 benign lesions, 187 had an EI/B-mode ratio of less than 1. Ten benign lesions had an EI/B-mode ratio of greater than 1. The benign lesions that had an EI/B-mode ratio of greater than 1 were lesions with dense fibrosis, and in addition, a characteristic artifact was identified, which was visualized in all simple and complex cysts. The results correspond with a sensitivity of 100%, specificity of 95%, a positive predictive value of 84%, and a negative predictive value of 100%.
CONCLUSIONS: Initial results of a real-time EI system for characterization of breast lesions suggest this technique can provide significant new diagnostic information. As a result, this information may significantly improve the ability to select patients for breast biopsy, resulting in a reduction in the number of benign breast biopsies.

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Year:  2010        PMID: 20498561     DOI: 10.1097/RUQ.0b013e3181dc7ce4

Source DB:  PubMed          Journal:  Ultrasound Q        ISSN: 0894-8771            Impact factor:   1.657


  21 in total

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Review 3.  Medical ultrasound: imaging of soft tissue strain and elasticity.

Authors:  Peter N T Wells; Hai-Dong Liang
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4.  Auto strain ratio system for the quality control of breast strain elastography.

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5.  [Elastography as an additional tool in breast sonography. Technical principles and clinical applications].

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Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

6.  Prediction of invasive breast cancer using shear-wave elastography in patients with biopsy-confirmed ductal carcinoma in situ.

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Review 7.  JSUM ultrasound elastography practice guidelines: breast.

Authors:  Kazutaka Nakashima; Tsuyoshi Shiina; Masaru Sakurai; Katsutoshi Enokido; Tokiko Endo; Hiroko Tsunoda; Etsuo Takada; Takeshi Umemoto; Ei Ueno
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Review 8.  Cystic breast masses and the ACRIN 6666 experience.

Authors:  Wendie A Berg; Alan G Sechtin; Helga Marques; Zheng Zhang
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9.  In vivo classification of breast masses using features derived from axial-strain and axial-shear images.

Authors:  Haiyan Xu; Tomy Varghese; Jingfeng Jiang; James A Zagzebski
Journal:  Ultrason Imaging       Date:  2012-10       Impact factor: 1.578

10.  A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy.

Authors:  Jared A Weis; Michael I Miga; Lori R Arlinghaus; Xia Li; A Bapsi Chakravarthy; Vandana Abramson; Jaime Farley; Thomas E Yankeelov
Journal:  Phys Med Biol       Date:  2013-08-06       Impact factor: 3.609

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