Literature DB >> 981644

Breast parenchymal patterns and their changes with age.

J N Wolfe.   

Abstract

The appearance of the breast parenchyma was studied in 955 women to determine whether it changed with age. It was found that women initially classified as being at either a low risk or a very high risk of cancer do not demonstrate changes in the breast parenchyma pattern with age. However, breasts in young women which exhibit dysplastic changes on the initial examination (QDY) frequently do change, occasionally to a relatively lower-risk category but often to a normal or near-normal appearance. Such changes generally occur between the ages of 35 and 50.

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Year:  1976        PMID: 981644     DOI: 10.1148/121.3.545

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  23 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.  Segmentation of the fibro-glandular disc in mammograms using Gaussian mixture modelling.

Authors:  R J Ferrari; R M Rangayyan; R A Borges; A F Frère
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

Review 3.  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

4.  Classification of breast computed tomography data.

Authors:  Thomas R Nelson; Laura I Cerviño; John M Boone; Karen K Lindfors
Journal:  Med Phys       Date:  2008-03       Impact factor: 4.071

5.  Mammographic density, MRI background parenchymal enhancement and breast cancer risk.

Authors:  M C Pike; C L Pearce
Journal:  Ann Oncol       Date:  2013-11       Impact factor: 32.976

6.  Standardized uptake values of normal breast tissue with 2-deoxy-2-[F-18]fluoro-D: -glucose positron emission tomography: variations with age, breast density, and menopausal status.

Authors:  Rakesh Kumar; Anil Chauhan; Hongming Zhuang; Prem Chandra; Mitchell Schnall; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2006 Nov-Dec       Impact factor: 3.488

7.  Age as a confounding factor in the association of mammographic dysplasia and estrogen receptor concentration in breast cancer.

Authors:  N F Boyd; E Fishell; K Tonkin; B G Mobbs
Journal:  Breast Cancer Res Treat       Date:  1987-10       Impact factor: 4.872

8.  Quantitative myocardial thallium single-photon emission computed tomography in normal women: demonstration of age-related differences.

Authors:  M Cohen; C Touzery; Y Cottin; T Benoit; P d'Athis; S Roy; P Louis; J E Wolf; P Rigo; F Brunotte
Journal:  Eur J Nucl Med       Date:  1996-01

9.  Breast density in multiethnic women presenting for screening mammography.

Authors:  Bridget A Oppong; Chiranjeev Dash; Suzanne O'Neill; Yinan Li; Kepher Makambi; Edward Pien; Erini Makariou; Tesha Coleman; Lucile L Adams-Campbell
Journal:  Breast J       Date:  2017-10-24       Impact factor: 2.431

Review 10.  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

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