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自动乳腺超声:现状与未来展望。

Automatic breast ultrasound: state of the art and future perspectives.

作者信息

Nicosia Luca, Ferrari Federica, Bozzini Anna Carla, Latronico Antuono, Trentin Chiara, Meneghetti Lorenza, Pesapane Filippo, Pizzamiglio Maria, Balesetreri Nicola, Cassano Enrico

机构信息

Department of Breast Radiology, European Institute of Oncology, 20141 Milan, Italy.

Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy.

出版信息

Ecancermedicalscience. 2020 Jun 23;14:1062. doi: 10.3332/ecancer.2020.1062. eCollection 2020.

DOI:10.3332/ecancer.2020.1062
PMID:32728378
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7373644/
Abstract

The three-dimensional automated breast ultrasound system (3D ABUS) is a new device which represents a huge innovation in the breast ultrasound field, with several application scenarios of great interest. ABUS's aim is to solve some of the main defects of traditional ultrasound, such as lack of standardization, high level of skill non-reproducibility, small field of view and high commitment of physician time. ABUS has proven to be an excellent non-ionising alternative to other supplemental screening options for women with dense breast tissue; also, it has appeared to be very promising in daily clinical practice. The purpose of this paper is to present a summary of current applications of ABUS, focusing on clinical applications and future perspectives as ABUS is particularly promising for studies involving artificial intelligence, radiomics and evaluation of breast molecular subtypes.

摘要

三维自动乳腺超声系统(3D ABUS)是一种新设备,代表了乳腺超声领域的一项重大创新,具有多个备受关注的应用场景。ABUS的目标是解决传统超声的一些主要缺陷,如缺乏标准化、技能不可重复性高、视野小以及医生时间投入大等问题。对于乳腺组织致密的女性,ABUS已被证明是其他补充筛查选项的一种出色的非电离替代方法;此外,它在日常临床实践中也显得非常有前景。本文的目的是总结ABUS的当前应用,重点关注临床应用和未来前景,因为ABUS在涉及人工智能、放射组学和乳腺分子亚型评估的研究中特别有前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/5dea703a65a4/can-14-1062fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/576ff7015bef/can-14-1062fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/878f8be4e785/can-14-1062fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/d540ad21bdab/can-14-1062fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/6092a8f6b7e4/can-14-1062fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/5dea703a65a4/can-14-1062fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/576ff7015bef/can-14-1062fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/878f8be4e785/can-14-1062fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/d540ad21bdab/can-14-1062fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/6092a8f6b7e4/can-14-1062fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/7373644/5dea703a65a4/can-14-1062fig5.jpg

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Three-dimensional Automated Breast US: Facts and Artifacts.三维自动化乳腺超声:事实与伪像。
Radiographics. 2019 Jul-Aug;39(4):913-931. doi: 10.1148/rg.2019180104. Epub 2019 May 31.
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Diagnostic Performance of Automated Breast Ultrasound in Differentiating Benign and Malignant Breast Masses in Asymptomatic Women: A Comparison Study With Handheld Ultrasound.
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