Breast Ultrasonography: State of the Art

Hooley, Regina J.; Scoutt, Leslie M.; Philpotts, Liane E.

doi:10.1148/radiol.13121606

Cited by 256 publications

(180 citation statements)

References 125 publications

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“…In addition to mammography, US has become a standard non-invasive diagnostic imaging method used for the detection of breast cancer, particularly in the dense breast [32][33][34]. Over the years breast US elastography has evolved as an adjunct to conventional US, becoming a valuable tool in clinical practice [35][36][37].…”

Section: Discussionmentioning

confidence: 99%

Elastography ultrasound for breast lesions: fat-to-lesion strain ratio vs gland-to-lesion strain ratio

Zhou

Zhan

et al. 2014

Eur Radiol

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Section: Discussionmentioning

confidence: 99%

Elastography ultrasound for breast lesions: fat-to-lesion strain ratio vs gland-to-lesion strain ratio

Zhou

Zhan

et al. 2014

Eur Radiol

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“…Lesions deeper than 2 cm are less accurately characterized by means of shear-wave elastography. 7 The latest edition of the BI-RADS ® atlas includes elastographic findings, and lesions are classified as soft, intermediate, or hard. This classification is based on the same principles that were suggested by the authors, in 2008.…”

Section: Methodsmentioning

confidence: 99%

The importance of breast elastography added to the BI-RADS® (5th edition) lexicon classification

Fleury

2015

Rev. Assoc. Med. Bras.

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The imporTance of breasT elasTography added To The bi-rads® ( Conflicts of interest: noneObjective: the aim of this study was to investigate the addition of elastography to the BI-RADS ® lexicon for the classification of breast lesions. Methods: a total of 955 consecutive patients who were subjected to breast percutaneous biopsy from January 2010 to December 2012 were retrospectively assessed. Overall, 26 patients who did not present with masses on conventional ultrasound were excluded. The patients were classified according to the fifth edition of the breast imaging and reporting data system (BI-RADS ® ) lexicon, which includes elastographic findings. The BI-RADS ® classification is based on the same classification principles that have been suggested by the author, which classify lesions as soft, intermediate, or hard. Results: the addition of elastographic findings to the BI-RADS ® lexicon improved the sensitivity (S), specificity (SP), and diagnostic accuracy (DA) of ultrasound in the assessment of breast lesions, which increased from 93.85, 72.07, and 76.64 to 95.90, 80.65, and 91.39%, respectively. Conclusion: these findings suggest that the addition of elastography to the BI-RADS ® lexicon will improve the SP and DA of ultrasound in the screening of breast lesions.

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“…UE, as a novel ultrasound imaging technique based on the measurement of the relative hardness of a lesion against the adjacent normal tissues, has the ability to yield a more accurate estimation compared with conventional ultrasound examination technology in the differentiation of malignant from benign breast lesions (16). A previous study has demonstrated that UE was helpful in the differentiation of benign and malignant breast lesions since the hardness of malignant breast cancer was 2-3 times higher than that of benign cancer (17).…”

Section: Discussionmentioning

confidence: 99%

Comparison of the diagnostic efficacy between ultrasound elastography and magnetic resonance imaging for breast masses

Cheng¹,

Li²,

Ji³

et al. 2017

Exp Ther Med

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Abstract. The present study compared the efficacy of ultrasound elastography (UE), magnetic resonance imaging (MRI) and the combination of the two methods (UE+MRI) in the differential diagnosis of benign and malignant breast tumors. In total, 86 patients with breast masses were recruited and evaluated by UE, MRI and UE+MRI. Strain ratios of UE were calculated for the breast mass and adjacent normal tissues. In addition, the receiver operating characteristic (ROC) curve was obtained, while the sensitivity and specificity were calculated to determine the optimal cut-off point for the differential diagnosis. The area under the ROC curve (AUC) was also calculated to evaluate the diagnostic performance of these methods. The results indicated that the diagnostic accuracy of UE+MRI was significantly higher compared with the UE or MRI methods in the differential diagnosis of invasive ductal, invasive lobular, intraductal papillary, medullary and mucinous carcinomas (all P<0.05). The optimal cut-off points of ROC curve of the Strain Ratio in the diagnosis of breast lesions were 2.81, 3.76 and 3.42 for UE, MRI and UE+MRI, respectively. Furthermore, the AUC values were 86.7, 79.2 and 91.4%, while the diagnostic accuracy rates were 82.5, 75.5 and 95.3%, for UE, MRI and UE+MRI, respectively. Accuracy rate differences between UE and MRI or between UE and UE+MRI were statistically significant (P<0.05), whereas no significant difference existed between MRI and UE+MRI (P>0.05). Finally, the diagnostic consistency of the UE+MRI method with the pathological diagnosis was higher compared with UE or MRI alone. In conclusion, the combination of UE and MRI is superior to the use of UE or MRI alone in the differential diagnosis of benign and malignant breast masses.

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Breast Ultrasonography: State of the Art

Cited by 256 publications

References 125 publications

Elastography ultrasound for breast lesions: fat-to-lesion strain ratio vs gland-to-lesion strain ratio

Elastography ultrasound for breast lesions: fat-to-lesion strain ratio vs gland-to-lesion strain ratio

The importance of breast elastography added to the BI-RADS® (5th edition) lexicon classification

Comparison of the diagnostic efficacy between ultrasound elastography and magnetic resonance imaging for breast masses

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