Beyond BI-RADS Density: A Call for Quantification in the Breast Imaging Clinic-Reference-Cited by-同舟云学术

Beyond BI-RADS Density: A Call for Quantification in the Breast Imaging Clinic

Published:2018-02 Issue:2 Volume:286 Page:401-404
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Conant Emily F.¹,Sprague Brian L.¹,Kontos Despina¹

Affiliation:

1. From the Department of Radiology, Hospital of the University of Pennsylvania, Perelman School of Medicine, 3400 Spruce St, Philadelphia PA 10104 (E.F.C., D.K.); and Departments of Surgery and Radiology, University of Vermont Cancer Center, Burlington, Vt (B.L.S.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2017170644

Reference33 articles.

1. Identifying Women With Dense Breasts at High Risk for Interval Cancer

2. Density and Breast Cancer Risk

3. Vision 20/20: Mammographic breast density and its clinical applications

4. Breast Tissue Composition and Susceptibility to Breast Cancer

5. Content, Readability, and Understandability of Dense Breast Notifications by State

Cited by 29 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. Breast Density Status Changes: Frequency, Sequence, and Practice Implications;Journal of Breast Imaging;2024-09-03

2. Advancing volumetric breast density segmentation: a deep learning approach with digital breast tomosynthesis;17th International Workshop on Breast Imaging (IWBI 2024);2024-05-29

3. Inter- and intra-observer variability of qualitative visual breast-composition assessment in mammography among Japanese physicians: a first multi-institutional observer performance study in Japan;Breast Cancer;2024-04-15

4. Protocol for a pragmatic stepped wedge cluster randomized clinical trial testing behavioral economic implementation strategies to increase supplemental breast MRI screening among patients with extremely dense breasts;Implementation Science;2023-11-24

5. Local texture statistics augment the power spectrum in modeling radiographic judgments of breast density;Journal of Medical Imaging;2023-11-11