Publication

Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review

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Last modified
  • 05/15/2025
Type of Material
Authors
    RongRong Guo, Emory UniversityGuolan Lu, Emory UniversityBaowei Fei, Emory University
Language
  • English
Date
  • 2018-01-01
Publisher
  • Elsevier
Publication Version
Copyright Statement
  • © 2018 World Federation for Ultrasound in Medicine and Biology
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0301-5629
Volume
  • 44
Issue
  • 1
Start Page
  • 37
End Page
  • 70
Grant/Funding Information
  • This work was partially supported by NIH grants CA156775, CA176684, and CA204254, and Georgia Research Alliance Distinguished Scientists Award.
Abstract
  • Ultrasound imaging is a commonly used modality for breast cancer detection and diagnosis. In this review, we summarize ultrasound imaging technologies and their clinical applications for the management of breast cancer patients. The technologies include ultrasound elastography, contrast-enhanced ultrasound, 3-D ultrasound, automatic breast ultrasound and computer-aided detection of breast ultrasound. We summarize the study results seen in the literature and discuss their future directions. We also provide a review of ultrasound-guided, breast biopsy and the fusion of ultrasound with other imaging modalities, especially magnetic resonance imaging (MRI). For comparison, we also discuss the diagnostic performance of mammography, MRI, positron emission tomography and computed tomography for breast cancer diagnosis at the end of this review. New ultrasound imaging techniques, ultrasound-guided biopsy and the fusion of ultrasound with other modalities provide important tools for the management of breast patients.
Author Notes
  • Corresponding author: Baowei Fei, Ph.D., Eng.D., Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Road NE, Atlanta, GA 30329, bfei@emory.edu, Phone: 404-712-5649, https://fei-lab.org/baowei-fei/.
Keywords
Research Categories
  • Health Sciences, Oncology
  • Mathematics
  • Health Sciences, Radiology

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