Three-dimensional automated breast ultrasound: Technical aspects and first results
- PMID: 30962169
- DOI: 10.1016/j.diii.2019.03.012
Three-dimensional automated breast ultrasound: Technical aspects and first results
Abstract
Three-dimensional automated breast ultrasound system (3D ABUS) is an innovation in breast ultrasound that has been developed to uncouple detection from image acquisition and to address the limitations of handheld ultrasound (HHUS). 3D ABUS provides a large field of view using high frequency transducers, producing high-resolution images and covering a large portion of the breast with one sweep. As more data become available on breast density and the impact of supplemental screening, 3D ABUS has gained wider acceptance as an adjunct tool to mammography. Computer-aided detection software significantly reduces interpretation time, improving the workflow for the utilization of 3D ABUS as a supplemental screening tool. In the diagnostic setting, 3D ABUS offers valuable impact in the detectability of breast lesions and the differentiation of malignant from benign lesions, with a high inter-observer agreement. State-of-the art technique, including uniform compression and proper positioning, tends to reduce artifactual posterior shadowing, while combined 3D ABUS-mammography interpretation improves radiologists' diagnostic performance. Promising results have supported the enhanced efficiency of 3D ABUS in detecting the extent of breast cancer and assessing response to neoadjuvant chemotherapy, whereas its correlation with molecular subtypes of breast cancer is remarkable. Future perspectives include the integration of radiomics and deep learning in the further development of 3D ABUS.
Keywords: 3D automated breast ultrasound; Breast cancer; Dense breasts; Handheld ultrasound; Inter-observer agreement.
Copyright © 2019 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.
Similar articles
-
Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.Eur Radiol. 2018 Jul;28(7):2996-3006. doi: 10.1007/s00330-017-5280-3. Epub 2018 Feb 7. Eur Radiol. 2018. PMID: 29417251 Free PMC article.
-
Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study.Acta Radiol. 2015 Apr;56(4):404-12. doi: 10.1177/0284185114528835. Epub 2014 Mar 28. Acta Radiol. 2015. PMID: 24682405
-
Diagnostic performance of automated breast ultrasound and handheld ultrasound in women with dense breasts.Breast Cancer Res Treat. 2020 Jun;181(3):589-597. doi: 10.1007/s10549-020-05625-2. Epub 2020 Apr 27. Breast Cancer Res Treat. 2020. PMID: 32338323
-
Automated Breast Ultrasound Screening for Dense Breasts.Korean J Radiol. 2020 Jan;21(1):15-24. doi: 10.3348/kjr.2019.0176. Korean J Radiol. 2020. PMID: 31920025 Free PMC article. Review.
-
Automated breast ultrasound: basic principles and emerging clinical applications.Radiol Med. 2018 Jan;123(1):1-12. doi: 10.1007/s11547-017-0805-z. Epub 2017 Aug 28. Radiol Med. 2018. PMID: 28849324 Review.
Cited by
-
Comparative Analysis of Diagnostic Performance of Automatic Breast Ultrasound, Full-Field Digital Mammography and Contrast-Enhanced Mammography in Relation to Breast Composition.Biomedicines. 2023 Dec 6;11(12):3226. doi: 10.3390/biomedicines11123226. Biomedicines. 2023. PMID: 38137447 Free PMC article.
-
Enhanced Detection of Suspicious Breast Lesions: A Comparative Study of Full-Field Digital Mammography and Automated Breast Ultrasound in 117 Patients with Core Needle Biopsy.Med Sci Monit. 2023 Sep 10;29:e941072. doi: 10.12659/MSM.941072. Med Sci Monit. 2023. PMID: 37689969 Free PMC article.
-
Intratumoral and peritumoral radiomics based on automated breast volume scanner for predicting human epidermal growth factor receptor 2 status.Front Oncol. 2025 Apr 16;15:1556317. doi: 10.3389/fonc.2025.1556317. eCollection 2025. Front Oncol. 2025. PMID: 40308512 Free PMC article.
-
Predicting the molecular subtypes of breast cancer using nomograms based on three-dimensional ultrasonography characteristics.Front Oncol. 2022 Aug 19;12:838787. doi: 10.3389/fonc.2022.838787. eCollection 2022. Front Oncol. 2022. PMID: 36059623 Free PMC article.
-
Detection and diagnosis of automated breast ultrasound in patients with BI-RADS category 4 microcalcifications: a retrospective study.BMC Med Imaging. 2024 May 28;24(1):126. doi: 10.1186/s12880-024-01287-4. BMC Med Imaging. 2024. PMID: 38807064 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Research Materials