Literature DB >> 23714456

Mammographic density and risk of breast cancer.

Norman F Boyd1.   

Abstract

The radiographic appearance of the breast on mammography varies among women, and reflects variations in breast tissue composition and the different X-ray attenuation characteristics of these tissues. Fat is radiologically lucent and appears dark on a mammogram. Connective and epithelial tissues are radiologically dense and appear light. These variations in appearance are commonly described as the percentage of the breast image that is radiologically dense, or as percent mammographic density (PMD). There is now extensive evidence that PMD is a risk factor for breast cancer, with a 4- to 6-fold gradient in risk between women with 75% or more PMD compared with those with 10% or less. However, the accuracy of risk prediction in individual women is modest. The extent of PMD is associated inversely with greater age, parity, and weight, and is reduced by the menopause and by tamoxifen. PMD is positively associated with greater height, a family history of breast cancer, and is increased by combined hormone therapy. The relative risk associated with density is substantially larger than the relative risk of breast cancer associated with a family history of the disease or any of the menstrual and reproductive risk factors. It is estimated that the risks of breast cancer attributable to density of 50% or more may be 16% for all breast cancers. Although combined hormone therapy and tamoxifen respectively increase a decrease both PMD and breast cancer risk, there is as yet insufficient evidence to use PMD as a surrogate marker for breast cancer.

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Year:  2013        PMID: 23714456     DOI: 10.1200/EdBook_AM.2013.33.e57

Source DB:  PubMed          Journal:  Am Soc Clin Oncol Educ Book        ISSN: 1548-8748


  21 in total

1.  Effect of Vitamin D Supplementation on Breast Cancer Biomarkers: CALGB 70806 (Alliance) Study Design and Baseline Data.

Authors:  Ogheneruona Apoe; Sin-Ho Jung; Heshan Liu; Drew K Seisler; Jayne Charlamb; Patricia Zekan; Lili X Wang; Gary W Unzeitig; Judy Garber; James Marshall; Marie Wood
Journal:  Am J Hematol Oncol       Date:  2016-07

2.  The Presence of Cyclooxygenase 2, Tumor-Associated Macrophages, and Collagen Alignment as Prognostic Markers for Invasive Breast Carcinoma Patients.

Authors:  Karla Esbona; Yanyao Yi; Sandeep Saha; Menggang Yu; Rachel R Van Doorn; Matthew W Conklin; Douglas S Graham; Kari B Wisinski; Suzanne M Ponik; Kevin W Eliceiri; Lee G Wilke; Patricia J Keely
Journal:  Am J Pathol       Date:  2018-03       Impact factor: 4.307

3.  Generalized breast density metrics.

Authors:  Erin E E Fowler; Autumn Smallwood; Cassandra Miltich; Jennifer Drukteinis; Thomas A Sellers; John Heine
Journal:  Phys Med Biol       Date:  2018-12-19       Impact factor: 3.609

4.  A web-based personalized risk communication and decision-making tool for women with dense breasts: Design and methods of a randomized controlled trial within an integrated health care system.

Authors:  Sarah Knerr; Karen J Wernli; Kathleen Leppig; Kelly Ehrlich; Amanda L Graham; David Farrell; Chalanda Evans; George Luta; Marc D Schwartz; Suzanne C O'Neill
Journal:  Contemp Clin Trials       Date:  2017-02-28       Impact factor: 2.226

5.  Australian Women's Intentions and Psychological Outcomes Related to Breast Density Notification and Information: A Randomized Clinical Trial.

Authors:  Hankiz Dolan; Kirsten McCaffery; Nehmat Houssami; Erin Cvejic; Meagan Brennan; Jolyn Hersch; Melanie Dorrington; Angela Verde; Lisa Vaccaro; Brooke Nickel
Journal:  JAMA Netw Open       Date:  2022-06-01

Review 6.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

7.  Breast density in dedicated breast computed tomography: Proposal of a classification system and interreader reliability.

Authors:  Jann Wieler; Nicole Berger; Thomas Frauenfelder; Magda Marcon; Andreas Boss
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

8.  The Influence of Vitamin D on Mammographic Density: Results from CALGB 70806 (Alliance) a Randomized Clinical Trial.

Authors:  Marie E Wood; Heshan Liu; Elizabeth Storrick; David Zahrieh; H Carisa Le-Petross; Sin-Ho Jung; Patricia Zekan; M Margaret Kemeny; Jayne R Charlamb; Lili X Wang; Gary W Unzeitig; Candace S Johnson; Judy E Garber; James R Marshall; Isabelle Bedrosian
Journal:  Cancer Prev Res (Phila)       Date:  2021-04-13

9.  Determination of mammographic breast density using a deep convolutional neural network.

Authors:  Alexander Ciritsis; Cristina Rossi; Ilaria Vittoria De Martini; Matthias Eberhard; Magda Marcon; Anton S Becker; Nicole Berger; Andreas Boss
Journal:  Br J Radiol       Date:  2018-10-01       Impact factor: 3.039

10.  Association of mammographic breast density with dairy product consumption, sun exposure, and daily activity.

Authors:  Sadaf Alipour; Azin Saberi; Afsaneh Alikhassi; Leila Bayani; Ladan Hosseini
Journal:  ISRN Oncol       Date:  2014-03-04
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