Breast Lesions: Evaluation with Shear Wave Elastography, with Special Emphasis on the “Stiff Rim” Sign

Zhou, Jian; Zhan, Weiqiang; Chang, Cai; Zhang, Xiao; Jia, Yi; Dong, Yi; Zhou, Chun; Sun, Jing; Grant, Edward G.

doi:10.1148/radiol.14130818

Cited by 144 publications

(157 citation statements)

References 34 publications

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“…Shear Wave Elastography (SWE) provides a quantitative value for Young's elastic modulus in kilopascals by imaging the shear wave propagation within a tissue. Previous studies have shown a significant correlation between tumor aggressiveness and elasticity [5][6][7]. In qualitative assessment of breast tissue, elasticity is encoded in a color map superimposed on B-mod images, similar to color-doppler.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic performance and color overlay pattern in shear wave elastography (SWE) for palpable breast mass

Park

Woo

Shin

et al. 2015

European Journal of Radiology

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Section: Introductionmentioning

confidence: 99%

Diagnostic performance and color overlay pattern in shear wave elastography (SWE) for palpable breast mass

Park

Woo

Shin

et al. 2015

European Journal of Radiology

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“…In our opinion, the lower specificity, sensitivity, accuracy, and PPV of UE compared to US in this study are mainly due to the high variability of the UE examinations, and may also involve several other factors such as component of the breast lesion, histopathologic pattern, location, depth and size of the breast lesion, breast thickness, patient age, and different ultrasound systems and image interpretation (Zhou et al [10]). Women's breasts in our ethnic and geographic region are small [2], so thickness and depth did not have a negative affect on the accuracy of UE.…”

Section: Discussionmentioning

confidence: 87%

Combining Virtual Touch Tissue Imaging and BI-RADS May Improve Solid Breast Lesion Evaluation

Cui

Huang

et al. 2017

Breast Care

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Background: Ultrasound elastography (UE) is a novel imaging method. The purpose of this study was to determine the utility of Virtual Touch tissue imaging in the evaluation of solid breast lesions. Patients and Methods: 209 breast solid lesions in 192 patients that had been evaluated using ultrasound (US) and UE were reviewed and analyzed. Results: The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value for UE, US, and US plus UE in the differentiation of malignant from benign breast lesions were 80.8, 75.6, 77.9, 73.1, and 82.8% for UE, 87.2, 86.1, 86.6, 83.7, and 89.2% for US, and 92.5, 86.9, 89.5, 85.3, and 93.4% for US plus UE. There were significant differences between UE and US plus UE (all p < 0.05). Except for accuracy, there were no significant differences between UE and US or US and US plus UE (all p > 0.05). The area under the curve obtained from the ROC curve for UE, US, and US plus UE in differentiating malignant from benign lesions was 0.845, 0.884, and 0.922, respectively. Conclusion: The UE scoring system is not superior to BI-RADS in the sonographic evaluation of solid breast lesions. Combined use may improve the performance.

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“…Combining quantitative and qualitative SWE features improves the diagnostic performance [9]. This may lead to a diagnostic accuracy as high as 98% if combined with the evaluation of the lesions grey-scale ultrasound appearance [10]. Hence, an extension of the algorithm introduced in this paper to include quantitative SWE and BI-RADS assessment might be of interest in the future.…”

Section: Discussionmentioning

confidence: 90%

First step for computer assisted evaluation of qualitative supersonic shear wave elastography characteristics in breast tissue

Skerl

Vinnicombe

McKenna

et al. 2016

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

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The addition of shear wave elastography (SWE) imaging to standard B-mode ultrasound assessment supports the differential diagnosis of solid breast lesions. One way to assess SWE images is qualitative evaluation of the stiffness pattern according to the Tozaki classification. Until now this qualitative assessment has only been possible manually and so has low reproducibility and high inter-observer variability. Thus, this work aims to investigate the feasibility of automatic assessment of Tozaki categories. SWE images of 41 solid breast lesions (9 benign, 32 malignant) were assessed manually by a radiologist and automatically. The results were compared to the histology of the lesions. The diagnostic performance of the automatic assessment is similar to the manual assessment. The algorithm introduced in this work demonstrates the ability to automatically assess qualitative SWE features, given segmented lesions, according to the Tozaki classification.

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Breast Lesions: Evaluation with Shear Wave Elastography, with Special Emphasis on the “Stiff Rim” Sign

Abstract: Adding SWE features, especially the stiff rim sign at the display setting (<180 kPa), to conventional US has the potential to improve the differentiation of breast lesions.

Cited by 144 publications

References 34 publications

Diagnostic performance and color overlay pattern in shear wave elastography (SWE) for palpable breast mass

Diagnostic performance and color overlay pattern in shear wave elastography (SWE) for palpable breast mass

Combining Virtual Touch Tissue Imaging and BI-RADS May Improve Solid Breast Lesion Evaluation

First step for computer assisted evaluation of qualitative supersonic shear wave elastography characteristics in breast tissue

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