Literature DB >> 25763718

Mammographic breast density: impact on breast cancer risk and implications for screening.

Phoebe E Freer1.   

Abstract

Mammographic breast density is rapidly becoming a hot topic in both the medical literature and the lay press. In the United States, recent legislative changes in 19 states now require radiologists to notify patients regarding breast density as well as the possible need for supplemental screening. Federal legislation regarding breast density notification has been introduced, and its passage is likely on the horizon. An understanding of the context, scientific evidence, and controversies surrounding the topic of breast density as a risk factor for breast cancer is critical for radiologists. The current state of evidence is presented regarding supplemental screening for women with dense breasts, including the use of digital breast tomosynthesis, whole-breast ultrasonography, and gadolinium-enhanced magnetic resonance imaging. A review of current practice guidelines and additional sources of information will improve radiologists' understanding of the relevant subject of breast density and enable them to respond appropriately to questions from patients, clinicians, and the media. (©)RSNA, 2015.

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Year:  2015        PMID: 25763718     DOI: 10.1148/rg.352140106

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  48 in total

Review 1.  The impact of mandatory mammographic breast density notification on supplemental screening practice in the United States: a systematic review.

Authors:  Meagan Brennan; Brooke Nickel; Shuangqin Huang; Nehmat Houssami
Journal:  Breast Cancer Res Treat       Date:  2021-03-28       Impact factor: 4.872

2.  3D Supine Automated Ultrasound (SAUS, ABUS, ABVS) for Supplemental Screening Women with Dense Breasts.

Authors:  Alexander Mundinger
Journal:  J Breast Health       Date:  2016-04-01

3.  Diagnosis of sub-centimetre breast lesions: combining BI-RADS-US with strain elastography and contrast-enhanced ultrasound-a preliminary study in China.

Authors:  Xiaoyun Xiao; Qiongchao Jiang; Huan Wu; Xiaofeng Guan; Wei Qin; Baoming Luo
Journal:  Eur Radiol       Date:  2016-10-19       Impact factor: 5.315

4.  Breast Density Awareness and Knowledge, and Intentions for Breast Cancer Screening in a Diverse Sample of Women Age Eligible for Mammography.

Authors:  Marimer Santiago-Rivas; Shayna Benjamin; Janna Z Andrews; Lina Jandorf
Journal:  J Cancer Educ       Date:  2019-02       Impact factor: 2.037

5.  The Influence of Background Signal Intensity Changes on Cancer Detection in Prostate MRI.

Authors:  Andreas M Hötker; Evelyn Dappa; Yousef Mazaheri; Behfar Ehdaie; Junting Zheng; Marinela Capanu; Hedvig Hricak; Oguz Akin
Journal:  AJR Am J Roentgenol       Date:  2019-02-04       Impact factor: 3.959

6.  Digital mammography screening: sensitivity of the programme dependent on breast density.

Authors:  Stefanie Weigel; W Heindel; J Heidrich; H-W Hense; O Heidinger
Journal:  Eur Radiol       Date:  2016-11-07       Impact factor: 5.315

7.  Automated mammographic density measurement using Quantra™: comparison with the Royal Australian and New Zealand College of Radiology synoptic scale.

Authors:  Inez Yeo; Judith Akwo; Ernest Ekpo
Journal:  J Med Imaging (Bellingham)       Date:  2020-05-29

8.  Eliciting the Social Determinants of Cancer Prevention and Control in the Catchment of an Urban Cancer Center.

Authors:  Katerina Jou; Madeline R Sterling; Rosio Ramos; Francesse Antoine; David M Nanus; Erica Phillips
Journal:  Ethn Dis       Date:  2021-01-21       Impact factor: 1.847

9.  The Yield of Pre-operative Breast MRI in Patients According to Breast Tissue Density.

Authors:  Jean M Seely; Leslie Lamb; Neera Malik; Jacqueline Lau
Journal:  Eur Radiol       Date:  2015-11-30       Impact factor: 5.315

10.  Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset.

Authors:  Richard Ha; Peter Chang; Jenika Karcich; Simukayi Mutasa; Eduardo Pascual Van Sant; Michael Z Liu; Sachin Jambawalikar
Journal:  Acad Radiol       Date:  2018-07-31       Impact factor: 3.173

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