Wen X et al: Correlations between ultrasonographic findings of invasive lobular carcinoma of the breast and intrinsic subtypes. Ultraschall Med. ePub, 2018
Au FW et al: Histological grade and immunohistochemical biomarkers of breast cancer: Correlation to ultrasound features. J Ultrasound Med. 36(9):1883-1894, 2017
Chae EY et al: Association between Ultrasound Features and the 21-Gene Recurrence Score Assays in Patients with Oestrogen Receptor-Positive, HER2-Negative, Invasive Breast Cancer. PLoS One. 11(6):e0158461, 2016
Lee J et al: Non-mass lesions on screening breast ultrasound. Med Ultrason. 18(4):446-451, 2016
Yoon JH et al: Validation of the fifth edition BI-RADS ultrasound lexicon with comparison of fourth and fifth edition diagnostic performance using video clips. Ultrasonography. 35(4):318-26, 2016
Elverici E et al: Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation. Diagn Interv Radiol. 21(3):189-94, 2015
Yang Q et al: Ultrasonographic features of triple-negative breast cancer: a comparison with other breast cancer subtypes. Asian Pac J Cancer Prev. 16(8):3229-32, 2015
Çelebi F et al: The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer. Diagn Interv Radiol. 21(6):448-53, 2015
Cho SH et al: Mimickers of breast malignancy on breast sonography. J Ultrasound Med. 32(11):2029-36, 2013
Mendelson EB et al: Breast Imaging Reporting and Data System, BI-RADS: Ultrasound. 2nd ed. Reston: American College of Radiology, 2013
Berg WA et al: Training the ACRIN 6666 Investigators and effects of feedback on breast ultrasound interpretive performance and agreement in BI-RADS ultrasound feature analysis. AJR Am J Roentgenol. 199(1):224-35, 2012
Paulinelli RR et al: Sonobreast: predicting individualized probabilities of malignancy in solid breast masses with echographic expression. Breast J. 17(2):152-9, 2011
Lee HJ et al: Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound. Eur J Radiol. 65(2):293-8, 2008
Costantini M et al: Solid breast mass characterisation: use of the sonographic BI-RADS classification. Radiol Med. 112(6):877-94, 2007
Hong AS et al: BI-RADS for sonography: positive and negative predictive values of sonographic features. AJR Am J Roentgenol. 184(4):1260-5, 2005
Paulinelli RR et al: Risk of malignancy in solid breast nodules according to their sonographic features. J Ultrasound Med. 24(5):635-41, 2005
Stavros AT et al: Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology. 196(1):123-34, 1995
Related Anatomy
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References
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Tables
KEY FACTS
Terminology
Imaging
Top Differential Diagnoses
Clinical Issues
Diagnostic Checklist
TERMINOLOGY
Definitions
Mass shape: Oval (elliptical, includes 2-3 gentle/macro lobulations), round, or irregular
Margin: Edge or border of mass
Circumscribed: Well-defined, sharp, abrupt transition (margin) between mass and surrounding tissue; usually only seen with oval or round masses
Not circumscribed: Used when any portion of mass margin is not sharply defined on US; may have associated echogenic rim
Wen X et al: Correlations between ultrasonographic findings of invasive lobular carcinoma of the breast and intrinsic subtypes. Ultraschall Med. ePub, 2018
Au FW et al: Histological grade and immunohistochemical biomarkers of breast cancer: Correlation to ultrasound features. J Ultrasound Med. 36(9):1883-1894, 2017
Chae EY et al: Association between Ultrasound Features and the 21-Gene Recurrence Score Assays in Patients with Oestrogen Receptor-Positive, HER2-Negative, Invasive Breast Cancer. PLoS One. 11(6):e0158461, 2016
Lee J et al: Non-mass lesions on screening breast ultrasound. Med Ultrason. 18(4):446-451, 2016
Yoon JH et al: Validation of the fifth edition BI-RADS ultrasound lexicon with comparison of fourth and fifth edition diagnostic performance using video clips. Ultrasonography. 35(4):318-26, 2016
Elverici E et al: Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation. Diagn Interv Radiol. 21(3):189-94, 2015
Yang Q et al: Ultrasonographic features of triple-negative breast cancer: a comparison with other breast cancer subtypes. Asian Pac J Cancer Prev. 16(8):3229-32, 2015
Çelebi F et al: The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer. Diagn Interv Radiol. 21(6):448-53, 2015
Cho SH et al: Mimickers of breast malignancy on breast sonography. J Ultrasound Med. 32(11):2029-36, 2013
Mendelson EB et al: Breast Imaging Reporting and Data System, BI-RADS: Ultrasound. 2nd ed. Reston: American College of Radiology, 2013
Berg WA et al: Training the ACRIN 6666 Investigators and effects of feedback on breast ultrasound interpretive performance and agreement in BI-RADS ultrasound feature analysis. AJR Am J Roentgenol. 199(1):224-35, 2012
Paulinelli RR et al: Sonobreast: predicting individualized probabilities of malignancy in solid breast masses with echographic expression. Breast J. 17(2):152-9, 2011
Lee HJ et al: Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound. Eur J Radiol. 65(2):293-8, 2008
Costantini M et al: Solid breast mass characterisation: use of the sonographic BI-RADS classification. Radiol Med. 112(6):877-94, 2007
Hong AS et al: BI-RADS for sonography: positive and negative predictive values of sonographic features. AJR Am J Roentgenol. 184(4):1260-5, 2005
Paulinelli RR et al: Risk of malignancy in solid breast nodules according to their sonographic features. J Ultrasound Med. 24(5):635-41, 2005
Stavros AT et al: Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology. 196(1):123-34, 1995
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