Whole-Breast Ultrasound for Breast Screening and Archiving.

Author: Huang CS1, Yang YW1, Chen RT2, Lo CM3, Lo C1, Cheng CF1, Lee CS2, Chang RF4
Author Information:
1 Department of Surgery, National Taiwan University and National Taiwan University Hospital, Taipei, Taiwan.
2 Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
3 Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.
4 Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan. Electronic address: rfchang@csie.ntu.edu.tw.
Conference/Journal: Ultrasound Med Biol.
Date published: 2017 Mar 7
Other: Pages: S0301-5629(17)30015-7 , Special Notes: doi: 10.1016/j.ultrasmedbio.2017.01.009. [Epub ahead of print] , Word Count: 163


The incidence of breast cancer is increasing worldwide, reinforcing the importance of breast screening. Conventional hand-held ultrasound (HHUS) for breast screening is efficient and relatively easy to perform; however, it lacks systematic recording and localization. This study investigated an electromagnetic tracking-based whole-breast ultrasound (WBUS) system to facilitate the use of HHUS for breast screening. One-hundred nine breast masses were collected, and the detection of suspicious breast lesions was compared between the WBUS system, HHUS and a commercial automated breast ultrasound (ABUS) system. The positioning error between WBUS and ABUS (1.39 ± 0.68 cm) was significantly smaller than that between HHUS and ABUS (1.62 ± 0.91 cm, p = 0.014) and HHUS and WBUS (1.63 ± 0.9 cm, p = 0.024). WBUS is a practical clinical tool for breast screening that can be used instead of the often unavailable and costly ABUS.

Copyright © 2017 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

KEYWORDS: Automated breast ultrasound; Breast mass; Comparative study; Computer-aided tracking system; Hand-held ultrasound; Whole-breast ultrasound

PMID: 28283326 DOI: 10.1016/j.ultrasmedbio.2017.01.009

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