Literature DB >> 2916545

Mammographic parenchymal patterns as indicators of breast cancer risk.

A F Saftlas1, J N Wolfe, R N Hoover, L A Brinton, C Schairer, M Salane, M Szklo.   

Abstract

Mammographic parenchymal patterns have been suggested as indicators of breast cancer risk. However, few well-controlled studies have used prediagnostic mammograms to determine the pattern classification. The authors studied 266 cases of breast cancer and 301 controls from 25 screening centers of the Breast Cancer Detection and Demonstration Project, a nationwide screening program conducted between 1973 and 1980 to evaluate the risk associated with mammographic patterns using mammograms taken four years before the detection of breast cancer. Mammograms of the cancerous breast of cases and of the ipsilateral breast in the control matched to each case were blindly assessed by one of the investigators (J.N.W.), originator of the mammographic pattern classification. The breast cancer odds ratio among women with the combined P2 + DY patterns, compared with women with the N1 pattern, was 2.8 (95% confidence interval (CI): 1.6-5.1). This estimate of relative risk was comparable with the risk associated with other recognized breast cancer risk factors. The odds ratio among P2 + DY women with a first-degree family history of breast cancer was 5.5 (95% CI: 2.6-11.8) compared with N1 women without a family history. These data provide additional evidence that mammographic patterns are indicators for subsequent development of breast cancer, particularly among women with a first-degree family history of this malignancy.

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Year:  1989        PMID: 2916545     DOI: 10.1093/oxfordjournals.aje.a115163

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


  23 in total

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2.  A comparison of mammographic parenchymal patterns in premenopausal Japanese and British women.

Authors:  I H Gravelle; R D Bulbrook; D Y Wang; D Allen; J L Hayward; J C Bulstrode; O Takatani
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3.  Association between mammographic density and age-related lobular involution of the breast.

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Journal:  J Clin Oncol       Date:  2010-03-29       Impact factor: 44.544

4.  A breast density index for digital mammograms based on radiologists' ranking.

Authors:  J M Boone; K K Lindfors; C S Beatty; J A Seibert
Journal:  J Digit Imaging       Date:  1998-08       Impact factor: 4.056

5.  Percent mammographic density prediction: development of a model in the nurses' health studies.

Authors:  Megan S Rice; Bernard A Rosner; Rulla M Tamimi
Journal:  Cancer Causes Control       Date:  2017-05-06       Impact factor: 2.506

6.  Mammographic density and breast cancer risk by family history in women of white and Asian ancestry.

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Journal:  Cancer Causes Control       Date:  2015-03-12       Impact factor: 2.506

7.  Independent association of lobular involution and mammographic breast density with breast cancer risk.

Authors:  Karthik Ghosh; Celine M Vachon; V Shane Pankratz; Robert A Vierkant; Stephanie S Anderson; Kathleen R Brandt; Daniel W Visscher; Carol Reynolds; Marlene H Frost; Lynn C Hartmann
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Review 8.  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

9.  Cellular proliferative activity of mammographic normal dense and fatty tissue determined by DNA S phase percentage.

Authors:  P C Stomper; R B Penetrante; S B Edge; M A Arredondo; L E Blumenson; C C Stewart
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

10.  Mammographic density and breast cancer after ductal carcinoma in situ.

Authors:  Laurel A Habel; James J Dignam; Stephanie R Land; Martine Salane; Angela M Capra; Thomas B Julian
Journal:  J Natl Cancer Inst       Date:  2004-10-06       Impact factor: 13.506

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