Calcifications on DBT and Synthetic Views: Update and Management Strategies-Reference-Cited by-同舟云学术

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Calcifications on DBT and Synthetic Views: Update and Management Strategies

Published:2020-05-27 Issue:7 Volume:8 Page:
ISSN:2167-4825
Container-title:Current Radiology Reports
language:en
Short-container-title:Curr Radiol Rep

Author:

Elmi Azadeh,Rakow-Penner Rebecca,Chong Alice,Eghtedari Mohammad,Ladd William,Lim Vivian,Ojeda-Fournier Haydee

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s40134-020-00352-4.pdf

Reference41 articles.

1. • McDonald ES, McCarthy AM, Akhtar AL, Synnestvedt MB, Schnall M, Conant EF. Baseline screening mammography: performance of full-field digital mammography versus digital breast tomosynthesis. AJR Am J Roentgenol. 2015;205(5):1143–8. Both studies show overall superior performance of DBT compared to DM for improving cancer detection and reducing the recall rate.

2. • Conant EF, Barlow WE, Herschorn SD, et al. Association of digital breast tomosynthesis vs digital mammography with cancer detection and recall rates by age and breast density. JAMA Oncol. 2019;5(5):635–42. Both studies show overall superior performance of DBT compared to DM for improving cancer detection and reducing the recall rate.

3. Shin SU, Chang JM, Bae MS, et al. Comparative evaluation of average glandular dose and breast cancer detection between single-view digital breast tomosynthesis (DBT) plus single-view digital mammography (DM) and two-view DM: correlation with breast thickness and density. Eur Radiol. 2015;25(1):1–8.

4. Vedantham S, Karellas A, Vijayaraghavan GR, Kopans DB. Digital breast tomosynthesis: state of the art. Radiology. 2015;277(3):663–84.

5. Wallis MG, Moa E, Zanca F, Leifland K, Danielsson M. Two-view and single-view tomosynthesis versus full-field digital mammography: high-resolution X-ray imaging observer study. Radiology. 2012;262(3):788–96.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Quality Enhancement for Digital Breast Tomosynthesis: High-Density Object Artifact Reduction;Journal of Imaging Informatics in Medicine;2024-03-27

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