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Breast Ultrasound

  • Sharon L. Mulvagh
  • Tara L. Anderson
Chapter

Abstract

Breast ultrasound is primarily utilized in conjunction with diagnostic mammography to evaluate breast concerns identified by the patient or during clinical breast exam, and to further characterize findings identified on mammogram, breast MRI, and molecular breast imaging. Breast symptoms evaluated by ultrasound include breast pain, nipple discharge, and palpable masses. Ultrasound is also used to guide breast biopsies when the targeted lesion is well seen by ultrasound and occasionally to evaluate breast implants [1]. At some institutions, whole breast ultrasound is being utilized for cancer screening in select groups of patients, including those at high risk for breast cancer who are unable to undergo MRI, pregnant women, and women with increased breast density [2]. Breast ultrasound is rarely performed in isolation without concurrent mammography. Primary exceptions are for patients under 30 years old with a focal area of concern, clinical signs of mastitis with concern for breast abscess, and for targeted follow-up. Point-of-care breast ultrasound should be followed by formal breast diagnostic evaluation performed by an experienced breast imager.

Keywords

Breast Cyst Abscess Malignancy Palpable 

References

  1. 1.
    Hooley RJ, Scoutt LM, Philpotts LE. Breast ultrasonography: state of the art. Radiology. 2013;268:642–59.CrossRefPubMedGoogle Scholar
  2. 2.
    Ultrasound—breast. In: RadiologyInfo.org. http://www.radiologyinfo.org/en/info.cfm?pg=breastus. Accessed 30 Aug 2016.
  3. 3.
    Stavros AT. Breast ultrasound. Philadelphia: Lippincott Williams & Wilkins; 2004.Google Scholar
  4. 4.
    Mendelson EB, Böhm-Vélez M, Berg WA, et al. ACR BI-RADS® ultrasound. In: D’Orsi CJ, editor. ACR BI-RADS® atlas: breast imaging reporting and data system. 5th ed. Reston, VA: American College of Radiology; 2013.Google Scholar
  5. 5.
    Trop I, Dugas A, David J, El Khoury M, Boileau JF, Larouche N, et al. Breast abscesses: evidence-based algorithms for diagnosis, management, and follow-up. Radiographics. 2011;31:1683–99.CrossRefPubMedGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Medicine, Division of CardiologyDalhousie UniversityHalifaxCanada
  2. 2.Department of RadiologyMayo Clinic Health SystemAustinUSA

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