Literature DB >> 28283326

Whole-Breast Ultrasound for Breast Screening and Archiving.

Chiun-Sheng Huang1, Ya-Wen Yang1, Rong-Tai Chen2, Chung-Ming Lo3, Chao Lo1, Ching-Fen Cheng1, Chao-Shuan Lee2, Ruey-Feng Chang4.   

Abstract

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.

Entities:  

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

Mesh:

Year:  2017        PMID: 28283326     DOI: 10.1016/j.ultrasmedbio.2017.01.009

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  3 in total

1.  A computer-assisted system for handheld whole-breast ultrasonography.

Authors:  Filip Šroubek; Michal Bartoš; Jan Schier; Zuzana Bílková; Barbara Zitová; Jan Vydra; Iva Macová; Jan Daneš; Lukáš Lambert
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-01-23       Impact factor: 2.924

2.  Diagnostic value of an automated breast volume scanner compared with a hand-held ultrasound: a meta-analysis.

Authors:  Xiaohui Zhang; Juan Chen; Yidong Zhou; Feng Mao; Yan Lin; Songjie Shen; Qiang Sun; Zhaolian Ouyang
Journal:  Gland Surg       Date:  2019-12

3.  The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan method.

Authors:  Juan Li; Hao Wang; Lu Wang; Ting Wei; Minggang Wu; Tingting Li; Jifen Liao; Bo Tan; Man Lu
Journal:  BMC Med Imaging       Date:  2021-06-21       Impact factor: 1.930

  3 in total

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