Literature DB >> 7496722

Short communication: breast parenchymal patterns and their changes with age.

C H van Gils1, J D Otten, A L Verbeek, J H Hendriks.   

Abstract

In studies on mass screening, it has often been reported that tumours in breasts with dense parenchyma are difficult to detect and may have a more advanced stage at diagnosis. Shorter rescreening intervals have been suggested for these women but, before recommending such a strategy, it is important to investigate how often dense breast parenchyma (P2 and DY patterns according to Wolfe) is actually present in a screening population and to what extent these patterns change with age. The prevalence of dense breast parenchyma (P2 and DY) in our study population was 33% at first examination (n = 2581), which is fairly low compared with other screening populations. Its presence was strongly, inversely age-dependent. Breast patterns of 1177 women, aged 35-85 years, were followed for 12 years. In 39% (182/461) of the women with a P2 or DY pattern at their first examination, regression to a lucent pattern (N1 and P1) occurred over the years. The majority of these women were assumed to have reached menopause in the follow-up period. These findings support the hypothesis that the presence of dense breast parenchyma is related to the reproductive period and indicate that shortening the rescreening intervals would be most effective in pre-menopausal age groups.

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Year:  1995        PMID: 7496722     DOI: 10.1259/0007-1285-68-814-1133

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  8 in total

1.  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

2.  Mammographic breast density and risk of breast cancer: masking bias or causality?

Authors:  C H van Gils; J D Otten; A L Verbeek; J H Hendriks
Journal:  Eur J Epidemiol       Date:  1998-06       Impact factor: 8.082

3.  The correlation of mammographic-and histologic patterns of breast cancers in BRCA1 gene mutation carriers, compared to age-matched sporadic controls.

Authors:  R Kaas; R Kroger; J L Peterse; A A M Hart; S H Muller
Journal:  Eur Radiol       Date:  2006-08-19       Impact factor: 5.315

Review 4.  Postmenopausal hormone replacement therapy: effects on normal mammary gland in humans and in a mouse postmenopausal model.

Authors:  Sandra Z Haslam; Janet R Osuch; A M Raafat; L J Hofseth
Journal:  J Mammary Gland Biol Neoplasia       Date:  2002-01       Impact factor: 2.673

5.  Effect of mammographic breast density on breast cancer screening performance: a study in Nijmegen, The Netherlands.

Authors:  C H van Gils; J D Otten; A L Verbeek; J H Hendriks; R Holland
Journal:  J Epidemiol Community Health       Date:  1998-04       Impact factor: 3.710

6.  Breast Shape Change Associated with Aging: A Study Using Prone Breast Magnetic Resonance Imaging.

Authors:  Youichi Machida; Masashi Nakadate
Journal:  Plast Reconstr Surg Glob Open       Date:  2015-07-08

Review 7.  Can the stroma provide the clue to the cellular basis for mammographic density?

Authors:  Ruth Warren; Sunil R Lakhani
Journal:  Breast Cancer Res       Date:  2003-07-23       Impact factor: 6.466

8.  Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System.

Authors:  Reika Yoshida; Takenori Yamauchi; Sadako Akashi-Tanaka; Misaki Matsuyanagi; Kanae Taruno; Terumasa Sawada; Akatsuki Kokaze; Seigo Nakamura
Journal:  Curr Oncol       Date:  2021-12-14       Impact factor: 3.677

  8 in total

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