Literature DB >> 20625126

Is mammographic breast density a breast cancer risk factor in women with BRCA mutations?

Kavitha Passaperuma1, Ellen Warner, Kimberley A Hill, Anoma Gunasekara, Martin J Yaffe.   

Abstract

PURPOSE: Increased mammographic breast density is well recognized as a breast cancer risk factor in the general population. However, it is unclear whether it is a risk factor in women with BRCA mutations. We present the results of a nested case-control screening study investigating the relationship between breast density and breast cancer incidence in this population. PATIENTS AND METHODS: Women ages 25 to 65 years with known BRCA mutations were enrolled onto a single-center, high-risk breast cancer screening program. Using a computer-aided technique (Cumulus), quantitative percentage density (PD) was measured for each participant on her baseline mammogram by a single, blinded observer.
RESULTS: Between November 1997 and March 2008, 462 women (mean age, 44 years; 245 BRCA1 and 217 BRCA2) were screened and 50 breast cancers were diagnosed (38 invasive, 12 ductal carcinoma in situ [DCIS]). Density was not measured in 40 women of whom four developed cancer (three invasive, one DCIS). Mean PD (+/- standard deviation [SD]) for 376 women who did not develop breast cancer was 34% (23) compared with 31% (21) for 46 women with cancer (P = .51). Logistic regression model of breast cancer incidence and PD revealed an odds ratio of 0.99 (+/- 0.01 SD) for a one-unit increase in PD (P = .44). Results remained nonsignificant in multivariate analysis, as well as when women with pure DCIS were excluded.
CONCLUSION: Increased mammographic breast density is not associated with higher breast cancer incidence in women with BRCA mutations. On the basis of these findings, density should not be considered a factor for these women in decision making regarding prophylactic surgery or chemoprevention.

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Year:  2010        PMID: 20625126     DOI: 10.1200/JCO.2009.27.5933

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  14 in total

1.  Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.

Authors:  Maxine Tan; Bin Zheng; Pandiyarajan Ramalingam; David Gur
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

2.  Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls.

Authors:  Hui Li; Maryellen L Giger; Li Lan; Jyothi Janardanan; Charlene A Sennett
Journal:  J Med Imaging (Bellingham)       Date:  2014-11-13

3.  Breast tissue density change after oophorectomy in BRCA mutation carrier patients using visual and volumetric analysis.

Authors:  Augustin Lecler; Ariane Dunant; Suzette Delaloge; Delphine Wehrer; Tania Moussa; Olivier Caron; Corinne Balleyguier
Journal:  Br J Radiol       Date:  2018-01-05       Impact factor: 3.039

4.  Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk.

Authors:  Maxine Tan; Jiantao Pu; Samuel Cheng; Hong Liu; Bin Zheng
Journal:  Ann Biomed Eng       Date:  2015-04-08       Impact factor: 3.934

Review 5.  Identification and Management of Women With BRCA Mutations or Hereditary Predisposition for Breast and Ovarian Cancer.

Authors:  Sandhya Pruthi; Bobbie S Gostout; Noralane M Lindor
Journal:  Mayo Clin Proc       Date:  2010-12       Impact factor: 7.616

6.  Are Qualitative Assessments of Background Parenchymal Enhancement, Amount of Fibroglandular Tissue on MR Images, and Mammographic Density Associated with Breast Cancer Risk?

Authors:  Brian N Dontchos; Habib Rahbar; Savannah C Partridge; Larissa A Korde; Diana L Lam; John R Scheel; Sue Peacock; Constance D Lehman
Journal:  Radiology       Date:  2015-05-12       Impact factor: 11.105

7.  Mammographic density, parity and age at first birth, and risk of breast cancer: an analysis of four case-control studies.

Authors:  Christy G Woolcott; Karin Koga; Shannon M Conroy; Celia Byrne; Chisato Nagata; Giske Ursin; Celine M Vachon; Martin J Yaffe; Ian Pagano; Gertraud Maskarinec
Journal:  Breast Cancer Res Treat       Date:  2012-01-06       Impact factor: 4.872

8.  Normal parenchymal enhancement patterns in women undergoing MR screening of the breast.

Authors:  Sanaz A Jansen; Vicky C Lin; Maryellen L Giger; Hui Li; Gregory S Karczmar; Gillian M Newstead
Journal:  Eur Radiol       Date:  2011-02-17       Impact factor: 5.315

9.  Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.

Authors:  Shiju Yan; Yunzhi Wang; Faranak Aghaei; Yuchen Qiu; Bin Zheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-07-19       Impact factor: 2.924

10.  Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment.

Authors:  Bin Zheng; Jules H Sumkin; Margarita L Zuley; Xingwei Wang; Amy H Klym; David Gur
Journal:  Eur J Radiol       Date:  2012-05-12       Impact factor: 3.528

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