Literature DB >> 15687568

Mammographic densities and breast cancer risk.

N F Boyd1, G A Lockwood, L J Martin, J A Knight, J W Byng, M J Yaffe, D L Tritchler.   

Abstract

Variations between individuals in the radiographic appearance, or mammographic pattern, of the female breast arise because of differences in the relative amounts and X-ray attenuation characteristics of fat and connective and epithelial tissue. Studies using quantitative methods of assessment have consistently shown these variations to be strongly related to risk of breast cancer. Individuals with extensive areas of radiologically dense breast tissue on the mammogram have been found to have a risk of breast cancer that is four to six times higher than women with little or no density. In this paper, we propose a model for the relationship of mammographic densities to risk of breast cancer. We propose that the risk of breast cancer associated with mammographically dense breast tissue is due to the combined effects of two processes: cell proliferation (mitogenesis), induced by growth factors and sex hormones and influenced by reproductive risk factors for breast cancer; and damage to the DNA of dividing cells (mutagenesis) by mutagens generated by lipid peroxidation. We review the evidence that each of these processes is associated with mammographic densities and propose further work that we believe should be done to clarify these relationships.

Entities:  

Year:  1998        PMID: 15687568     DOI: 10.3233/bd-1998-103-412

Source DB:  PubMed          Journal:  Breast Dis        ISSN: 0888-6008


  50 in total

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Journal:  Cancer Lett       Date:  2012-07-07       Impact factor: 8.679

2.  The effect of change in body mass index on volumetric measures of mammographic density.

Authors:  Vicki Hart; Katherine W Reeves; Susan R Sturgeon; Nicholas G Reich; Lynnette Leidy Sievert; Karla Kerlikowske; Lin Ma; John Shepherd; Jeffrey A Tice; Amir Pasha Mahmoudzadeh; Serghei Malkov; Brian L Sprague
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-08-27       Impact factor: 4.254

3.  Double-Blind Randomized 12-Month Soy Intervention Had No Effects on Breast MRI Fibroglandular Tissue Density or Mammographic Density.

Authors:  Anna H Wu; Darcy Spicer; Agustin Garcia; Chiu-Chen Tseng; Linda Hovanessian-Larsen; Pulin Sheth; Sue Ellen Martin; Debra Hawes; Christy Russell; Heather MacDonald; Debu Tripathy; Min-Ying Su; Giske Ursin; Malcolm C Pike
Journal:  Cancer Prev Res (Phila)       Date:  2015-08-14

4.  Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment.

Authors:  Hui Li; Maryellen L Giger; Olufunmilayo I Olopade; Michael R Chinander
Journal:  J Digit Imaging       Date:  2008-01-03       Impact factor: 4.056

5.  Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls.

Authors:  Hui Li; Maryellen L Giger; Li Lan; Jyothi Janardanan; Charlene A Sennett
Journal:  J Med Imaging (Bellingham)       Date:  2014-11-13

6.  Does breast density show difference in patients with estrogen receptor-positive and estrogen receptor-negative breast cancer measured on MRI?

Authors:  J-H Chen; F-T Hsu; H-N Shih; C-C Hsu; D Chang; K Nie; O Nalcioglu; M-Y Su
Journal:  Ann Oncol       Date:  2009-08       Impact factor: 32.976

7.  Breast tissue density change after oophorectomy in BRCA mutation carrier patients using visual and volumetric analysis.

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Journal:  Br J Radiol       Date:  2018-01-05       Impact factor: 3.039

8.  Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.

Authors:  Hui Li; Maryellen L Giger; Yading Yuan; Weijie Chen; Karla Horsch; Li Lan; Andrew R Jamieson; Charlene A Sennett; Sanaz A Jansen
Journal:  Acad Radiol       Date:  2008-11       Impact factor: 3.173

9.  Correlation between breast density in mammography and background enhancement in MR mammography.

Authors:  R Cubuk; N Tasali; B Narin; F Keskiner; L Celik; S Guney
Journal:  Radiol Med       Date:  2010-01-15       Impact factor: 3.469

10.  A Randomized Controlled Trial of Green Tea Extract Supplementation and Mammographic Density in Postmenopausal Women at Increased Risk of Breast Cancer.

Authors:  Hamed Samavat; Giske Ursin; Tim H Emory; Eunjung Lee; Renwei Wang; Carolyn J Torkelson; Allison M Dostal; Karen Swenson; Chap T Le; Chung S Yang; Mimi C Yu; Douglas Yee; Anna H Wu; Jian-Min Yuan; Mindy S Kurzer
Journal:  Cancer Prev Res (Phila)       Date:  2017-09-13
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