Literature DB >> 12050098

Risk of subsequent breast cancer in relation to characteristics of screening mammograms from women less than 50 years of age.

David B Thomas1, Rachel A Carter, William H Bush, Roberta M Ray, Janet L Stanford, Constance D Lehman, Janet R Daling, Kathi Malone, Scott Davis.   

Abstract

This investigation was conducted to assess the predictive value of calcifications and densities in mammograms from women <50 years of age for subsequent diagnosis of breast cancer. In a population-based study, prior screening mammograms taken before age 50 in 547 women with breast cancer and 472 controls were reviewed by a single radiologist. The relative risk (RR) of subsequent breast cancer increased with the percentage of the area of the mammogram that was mammographically dense [RR in succeeding quartiles of density = 1.0, 1.7 (1.1-2.6), 3.3 (2.2-5.0), and 4.0 (2.7-6.0)]; in relation to Wolfe parenchymal pattern class P2 [RR = 3.1 (2.2-4.3)] or DY [RR = 5.6 (3.2-10.0)]; and in relation to calcifications of class 1 (pleomorphic of any distribution) or class 2 (various morphological types that are regional, grouped, clustered, segmental, or linear in distribution) [RR = 3.0 (1.4-7.1), and 1.8 (1.2-2.6), respectively]. Women with radiographically dense mammograms and class 1 or 2 calcifications were at >10- and approximately 6-fold greater risk, respectively, than women with breasts of low density and no calcifications. Densities and parenchymal patterns were most strongly associated with breast cancer being diagnosed in the next 3 years. Class 1 and 2 calcifications were most strongly predictive of an increased risk in 3-6 years. Class 1 calcifications were strongly predictive of the breast in which the subsequent cancer occurred. Women <50 years of age with class 1 or 2 calcifications or mammographically dense breasts, or both, should receive high priority for further evaluation and regular breast cancer screening.

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Mesh:

Year:  2002        PMID: 12050098

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  12 in total

Review 1.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

2.  Breast Cancer Risk - Genes, Environment and Clinics.

Authors:  P A Fasching; A B Ekici; B R Adamietz; D L Wachter; A Hein; C M Bayer; L Häberle; C R Loehberg; S M Jud; K Heusinger; M Rübner; C Rauh; M R Bani; M P Lux; R Schulz-Wendtland; A Hartmann; M W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2011-12       Impact factor: 2.915

Review 3.  Risk factors for breast cancer for women aged 40 to 49 years: a systematic review and meta-analysis.

Authors:  Heidi D Nelson; Bernadette Zakher; Amy Cantor; Rongwei Fu; Jessica Griffin; Ellen S O'Meara; Diana S M Buist; Karla Kerlikowske; Nicolien T van Ravesteyn; Amy Trentham-Dietz; Jeanne S Mandelblatt; Diana L Miglioretti
Journal:  Ann Intern Med       Date:  2012-05-01       Impact factor: 25.391

4.  Breast percent density: estimation on digital mammograms and central tomosynthesis projections.

Authors:  Predrag R Bakic; Ann-Katherine Carton; Despina Kontos; Cuiping Zhang; Andrea B Troxel; Andrew D A Maidment
Journal:  Radiology       Date:  2009-05-06       Impact factor: 11.105

5.  Mammographic density and breast cancer risk in White and African American Women.

Authors:  Hilda Razzaghi; Melissa A Troester; Gretchen L Gierach; Andrew F Olshan; Bonnie C Yankaskas; Robert C Millikan
Journal:  Breast Cancer Res Treat       Date:  2012-08-03       Impact factor: 4.872

Review 6.  Mammographic density and breast cancer risk: current understanding and future prospects.

Authors:  Norman F Boyd; Lisa J Martin; Martin J Yaffe; Salomon Minkin
Journal:  Breast Cancer Res       Date:  2011-11-01       Impact factor: 6.466

Review 7.  A Review on Automatic Mammographic Density and Parenchymal Segmentation.

Authors:  Wenda He; Arne Juette; Erika R E Denton; Arnau Oliver; Robert Martí; Reyer Zwiggelaar
Journal:  Int J Breast Cancer       Date:  2015-06-11

8.  Association between mammographic density and basal-like and luminal A breast cancer subtypes.

Authors:  Hilda Razzaghi; Melissa A Troester; Gretchen L Gierach; Andrew F Olshan; Bonnie C Yankaskas; Robert C Millikan
Journal:  Breast Cancer Res       Date:  2013       Impact factor: 6.466

Review 9.  Mammographic density.

Authors:  Norman F Boyd; Lisa J Martin; Martin Yaffe; Salomon Minkin
Journal:  Breast Cancer Res       Date:  2009-12-18       Impact factor: 6.466

10.  Mammographic Breast Density and Common Genetic Variants in Breast Cancer Risk Prediction.

Authors:  Charmaine Pei Ling Lee; Hyungwon Choi; Khee Chee Soo; Min-Han Tan; Wen Yee Chay; Kee Seng Chia; Jenny Liu; Jingmei Li; Mikael Hartman
Journal:  PLoS One       Date:  2015-09-24       Impact factor: 3.240

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