Literature DB >> 7064977

Mammographic features of the breast and breast cancer risk.

J Brisson, F Merletti, N L Sadowsky, J A Twaddle, A S Morrison, P Cole.   

Abstract

The authors conducted a case-control study at two Boston, Massachusetts, are hospitals to evaluate the relation of anatomic features of the breast, visible on the xeromammogram, to the risk of breast cancer. The cases were 408 women with newly diagnosed breast cancer and the controls were 1021 women without signs or symptoms of breast disease. The features of the breast assessed were the "parenchymal pattern" as defined by Wolfe (Am J Roentgenol 1976; 126:1132-9), and specific radiologic characteristics which are components of the parenchymal pattern classification. Women whose mammogram showed the P2 or DY parenchymal patterns were at elevated risk compared to women with the N1 pattern. Further, risk increased regularly with increases in the percentage of the breast that showed nodular densities and with increases in the average size and concentration of these densities. Women with extensive homogeneous density were also at elevated risk. These findings were observed only among women aged 20-59 years. In this group, women with nodular densities in 60% or more of the breast appeared to have a five-fold increase in risk compared to women without nodular densities in the breast.

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Year:  1982        PMID: 7064977     DOI: 10.1093/oxfordjournals.aje.a113320

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


  28 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.  Dietary fat and breast cancer risk: the feasibility of a clinical trial of breast cancer prevention.

Authors:  N F Boyd; M Cousins; G Lockwood; D Tritchler
Journal:  Lipids       Date:  1992-10       Impact factor: 1.880

3.  Association between mammographic density and age-related lobular involution of the breast.

Authors:  Karthik Ghosh; Lynn C Hartmann; Carol Reynolds; Daniel W Visscher; Kathleen R Brandt; Robert A Vierkant; Christopher G Scott; Derek C Radisky; Thomas A Sellers; V Shane Pankratz; Celine M Vachon
Journal:  J Clin Oncol       Date:  2010-03-29       Impact factor: 44.544

4.  Evaluation of the kinetic properties of background parenchymal enhancement throughout the phases of the menstrual cycle.

Authors:  Alana R Amarosa; Jason McKellop; Ana Paula Klautau Leite; Melanie Moccaldi; Tess V Clendenen; James S Babb; Anne Zeleniuch-Jacquotte; Linda Moy; Sungheon Kim
Journal:  Radiology       Date:  2013-05-08       Impact factor: 11.105

5.  Collagen and fibronectin: threads linking obesity and breast cancer.

Authors:  Lesley G Ellies
Journal:  Ann Transl Med       Date:  2016-10

6.  Reproducibility of BI-RADS breast density measures among community radiologists: a prospective cohort study.

Authors:  Mary C Spayne; Charlotte C Gard; Joan Skelly; Diana L Miglioretti; Pamela M Vacek; Berta M Geller
Journal:  Breast J       Date:  2012-05-21       Impact factor: 2.431

7.  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

8.  Role of equalisation mammography of dense breasts.

Authors:  D B Plewes; J M Sabol; I Soutar; A Chevrier; R Shumak
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

9.  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
Journal:  J Natl Cancer Inst       Date:  2010-10-29       Impact factor: 13.506

10.  Breast percent density: estimation on digital mammograms and central tomosynthesis projections.

Authors:  Predrag R Bakic; Ann-Katherine Carton; Despina Kontos; Cuiping Zhang; Andrea B Troxel; Andrew D A Maidment
Journal:  Radiology       Date:  2009-05-06       Impact factor: 11.105

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