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

Park, Jiyoon; Woo, Ok Hee; Shin, Hye Seon; Cho, Kyu Ran; Seo, Bo Kyoung; Kang, Eun Young

doi:10.1016/j.ejrad.2015.06.020

Cited by 35 publications

(30 citation statements)

References 14 publications

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“…These results are in agreement with those of earlier studies [22-24]. Some studies have evaluated the performance of US-CAD using US BI-RADS features when applied to biopsy-proven breast masses, showing a high AUC of at least 0.7 [18,25].…”

Section: Discussionsupporting

confidence: 91%

“…Suspicious US features identified using the ACR BI-RADS criteria have very high PPVs [1,5]; therefore, analyzing breast masses by strictly considering only their US features may improve diagnostic performance. Moreover, as reported in other studies using elastography [22,24,27], information regarding the intrinsic stiffness of a mass has limitations in providing an accurate diagnosis when used in isolation, and such information should be used in conjunction with the morphologic features seen on US.…”

Section: Discussionmentioning

confidence: 98%

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Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis

et al. 2017

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PurposeThe aim of this study was to evaluate and compare the diagnostic performance of grayscale ultrasonography (US), US elastography, and US computer-aided diagnosis (US-CAD) in the differential diagnosis of breast masses.MethodsA total of 193 breast masses in 175 consecutive women (mean age, 46.4 years) from June to August 2015 were included. US and elastography images were obtained and recorded. A US-CAD system was applied to the grayscale sonograms, which were automatically analyzed and visualized in order to generate a final assessment. The final assessments of breast masses were based on the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) categories, while elasticity scores were assigned using a 5-point scoring system. The diagnostic performance of grayscale US, elastography, and US-CAD was calculated and compared. ResultsOf the 193 breast masses, 120 (62.2%) were benign and 73 (37.8%) were malignant. Breast masses had significantly higher rates of malignancy in BI-RADS categories 4c and 5, elastography patterns 4 and 5, and when the US-CAD assessment was possibly malignant (all P<0.001). Elastography had higher specificity (40.8%, P=0.042) than grayscale US. US-CAD showed the highest specificity (67.5%), positive predictive value (PPV) (61.4%), accuracy (74.1%), and area under the curve (AUC) (0.762, all P<0.05) among the three diagnostic tools. ConclusionUS-CAD had higher values for specificity, PPV, accuracy, and AUC than grayscale US or elastography. Computer-based analysis based on the morphologic features of US may be very useful in improving the diagnostic performance of breast US.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 98%

Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis

et al. 2017

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“…In clinical practice, by visually assessing features of a color-coded elasticity map, qualitative breast lesion features can be evaluated instantaneously before measuring elasticity quantitatively. Previous studies in which another type of 2D SWV imaging technique, supersonic shear imaging (SSI), was used had demonstrated that the combination of conventional US and qualitative classification had a comparable diagnostic performance to the combination of conventional US and quantitative parameters, 6,7 suggesting that qualitative analysis involving SSI might play an important role in clinical application. Unfortunately, it is still unclear whether the results from SSI are applicable to VTIQ because different manufacturers may produce the two types of SWE systems with technical differences in push beam mechanical index, push pulse sequencing, shear wave detection, and transducer frequency.…”

Section: Introductionmentioning

confidence: 99%

<p>Qualitative Evaluation of Virtual Touch Imaging Quantification: A Simple and Useful Method in the Diagnosis of Breast Lesions</p>

Zhu¹,

Jia²,

Zhou³

et al. 2020

CMAR

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Objective: To test the value of qualitative virtual touch imaging quantification (VTIQ) features in differentiating benign from malignant breast lesions. Methods: From November 2016 to August 2017, 230 lesions were subjected to conventional US and virtual touch imaging quantification before biopsy. The maximum shear wave velocity (SWVmax) was measured using a standardized method. Qualitative VTIQ features, including the "stiff rim" sign and color pattern classification, were assessed according to a binary classification. The sensitivity, specificity and area under the receiver operating curve (AUC) of Breast Imaging Reporting and Data System (BI-RADS), SWVmax, qualitative VTIQ features, and combined data were compared. Results: Among the 230 breast lesions, 150 were benign and 80 were malignant. Compared to the benign lesions, the malignant ones had higher SWVmax values and were more likely to show the "stiff rim" sign and VTIQ pattern 2 (P <0.001 for all). The AUC value was 0.885 for the qualitative VTIQ combination (the presence of the "stiff rim" sign and/or the display of VTIQ pattern 2), similar to that for SWVmax (P=0.472). BI-RADS combined with the qualitative VTIQ combination and with SWVmax yielded similar results, including significantly higher AUC values (P = 0.018 and 0.014, respectively), significantly higher specificities (P<0.001 for both), and nonsignificantly decreased sensitivities (P = 0.249 for both) compared to BI-RADS alone. Conclusion: The dual-category classification of qualitative VTIQ features according to the presence of the "stiff rim" sign and/or the classification of VTIQ pattern 2 is a simple and useful method that may be representative of quantitative VTIQ parameters in the evaluation of breast masses.

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“…A recent research proposed that a predictive modality combined radiological and pathological biomarkers could provide individualised treatment regimens which could improve the pathological complete response (pCR) rates and prognosis for patients with advanced breast cancer [7]. Hence, it remains to be observed whether the combination of elastography and other tumor markers can improve the diagnostic performance of prediction through a single marker [11].…”

Section: Introductionmentioning

confidence: 99%

Combination of ultrasonic elastography and Ki-67 index as a novel predictive modality for the prognosis in clinic stage III breast cancer

Shu²,

Chen

et al. 2019

Preprint

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Background To investigate the feasibility of combination of ultrasonic elastography (UE) and Ki-67 index as a novel predictive modality for the prognosis of clinic stage Ⅲ breast cancer. Methods Of 112 patients, Multi-parameter of UE were obtained after analyzing elastograms of 112 lesions which were recorded classification of Ki-67 by histopathologic diagnosis. Multivariate Survival analysis was performed by using multivariate Cox model. The nomograms was established to predict the probability of clinic stage Ⅲ breast cancer according to the selected independently significant variables in the multivariate Cox model. The model was internally validated using Harrell’s concordance index. Results ⅢC had significant difference in all ultrasonic elastography (UE) parameters (P < 0.05) and were statistically different from ⅢA and ⅢB (P < 0.01). The Cox model was RR (t)= Exp(1.104* X1+0.901*X4+0.972*X5) (X1: classification of Ki-67, X4: classification of strain ratio, X5: classification of Young's modulus). The nomogram showed that Ki-67 had the greatest influence on survival prediction, followed by Young's modulus and strain ratio. Internal validation revealed a concordance index of 0.76. Conclusions Our study explored a novel modality in predicting the prognosis of clinic stage Ⅲ breast cancer combining a tumor marker with breast UE imaging. A nomogram was developed to prove that the model was helpful to estimate the 5-year survival of the patients.

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

Cited by 35 publications

References 14 publications

Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis

Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis

<p>Qualitative Evaluation of Virtual Touch Imaging Quantification: A Simple and Useful Method in the Diagnosis of Breast Lesions</p>

Combination of ultrasonic elastography and Ki-67 index as a novel predictive modality for the prognosis in clinic stage III breast cancer

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