Screening Breast Ultrasound Following Tomosynthesis

Author(s):  
Gary J. Whitman ◽  
Marion E. Scoggins
Keyword(s):  
Author(s):  
S Wojcinski ◽  
A Farrokh ◽  
U Hille ◽  
E Hirschauer ◽  
W Schmidt ◽  
...  

Choonpa Igaku ◽  
2020 ◽  
Author(s):  
Ayami SHIMIZU ◽  
Yuko HASHIMOTO ◽  
Tsuyoshi TABATA ◽  
Kazuhiro SHIMIZU ◽  
Nobuo TAKADA

Choonpa Igaku ◽  
2014 ◽  
Vol 41 (5) ◽  
pp. 659-664
Author(s):  
Takanori WATANABE

2021 ◽  
Author(s):  
Arnab K. Mishra ◽  
Pinki Roy ◽  
Sivaji Bandyopadhyay ◽  
Sujit K. Das

Author(s):  
Iris Allajbeu ◽  
Sarah E Hickman ◽  
Nicholas Payne ◽  
Penelope Moyle ◽  
Kathryn Taylor ◽  
...  

Abstract Purpose of Review Automated breast ultrasound (ABUS) is a three-dimensional imaging technique, used as a supplemental screening tool in women with dense breasts. This review considers the technical aspects, pitfalls, and the use of ABUS in screening and clinical practice, together with new developments and future perspectives. Recent Findings ABUS has been approved in the USA and Europe as a screening tool for asymptomatic women with dense breasts in addition to mammography. Supplemental US screening has high sensitivity for cancer detection, especially early-stage invasive cancers, and reduces the frequency of interval cancers. ABUS has similar diagnostic performance to handheld ultrasound (HHUS) and is designed to overcome the drawbacks of operator dependence and poor reproducibility. Concerns with ABUS, like HHUS, include relatively high recall rates and lengthy reading time when compared to mammography. ABUS is a new technique with unique features; therefore, adequate training is required to improve detection and reduce false positives. Computer-aided detection may reduce reading times and improve cancer detection. Other potential applications of ABUS include local staging, treatment response evaluation, breast density assessment, and integration of radiomics. Summary ABUS provides an efficient, reproducible, and comprehensive supplemental imaging technique in breast screening. Developments with computer-aided detection may improve the sensitivity and specificity as well as radiologist confidence and reduce reading times, making this modality acceptable in large volume screening centers.


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