Literature DB >> 3687919

Epidemiologic determinants of the mammographic parenchymal pattern. A population-based study within a mammographic screening program.

L Bergkvist1, L Tabàr, R Bergström, H O Adami.   

Abstract

Epidemiologic data and information on the mammographic parenchymal pattern (classified according to Wolfe (Cancer 1976;37:2486-92)) were obtained from 38,757 (89%) of all women who were invited to undergo mammography in a population-based screening program in Kopparberg County, Sweden, starting in October 1977. The prevalence of the high-risk patterns (P2 and DY) was significantly higher in women aged 46-50 years than in any younger or older age group. A univariate analysis revealed that the odds ratio (OR) of having a high-risk pattern increased regularly with increasing age at first birth and was highest in nulliparous women. These associations remained evident in all age groups and were most pronounced in the oldest women. A history of breast biopsy increased the likelihood of having a high-risk pattern (OR = 1.57), whereas a similar weak overall association with prior cancer in the contralateral breast (OR = 1.40) and with familiar occurrence of breast cancer (OR = 1.20) was eliminated when other confounding factors were considered in a multivariate analysis. The authors conclude that characteristics of the reproductive lives of women have a significant and lifelong impact on their mammographic parenchymal patterns.

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Year:  1987        PMID: 3687919     DOI: 10.1093/oxfordjournals.aje.a114746

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  7 in total

Review 1.  Mammographic densities as a marker of human breast cancer risk and their use in chemoprevention.

Authors:  N F Boyd; L J Martin; J Stone; C Greenberg; S Minkin; M J Yaffe
Journal:  Curr Oncol Rep       Date:  2001-07       Impact factor: 5.075

2.  Associations between polymorphisms in glucuronidation and sulfation enzymes and mammographic breast density in premenopausal women in the United States.

Authors:  Mellissa Yong; Stephen M Schwartz; Charlotte Atkinson; Karen W Makar; Sushma S Thomas; Katherine M Newton; Erin J Aiello Bowles; Victoria L Holt; Wendy M Leisenring; Johanna W Lampe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-02       Impact factor: 4.254

Review 3.  Clinical management of women at increased risk for breast cancer.

Authors:  V G Vogel; A Yeomans; E Higginbotham
Journal:  Breast Cancer Res Treat       Date:  1993-11       Impact factor: 4.872

4.  Breast cancer screening, with particular reference to the concept of 'high risk' groups.

Authors:  F De Waard; H J Collette; J J Rombach; C Collette
Journal:  Breast Cancer Res Treat       Date:  1988-05       Impact factor: 4.872

5.  Predictors of mammographic density: insights gained from a novel regression analysis of a twin study.

Authors:  Gillian S Dite; Lyle C Gurrin; Graham B Byrnes; Jennifer Stone; Anoma Gunasekara; Margaret R E McCredie; Dallas R English; Graham G Giles; Jennifer Cawson; Robert A Hegele; Anna M Chiarelli; Martin J Yaffe; Norman F Boyd; John L Hopper
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-12       Impact factor: 4.254

Review 6.  Screening for breast cancer with mammography.

Authors:  Peter C Gøtzsche; Karsten Juhl Jørgensen
Journal:  Cochrane Database Syst Rev       Date:  2013-06-04

7.  Reproductive and menstrual factors in relation to mammographic parenchymal patterns among perimenopausal women.

Authors:  I T Gram; E Funkhouser; L Tabar
Journal:  Br J Cancer       Date:  1995-03       Impact factor: 7.640

  7 in total

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