Mammographic Density and the Risk of Breast Cancer in Japanese Women

Overview

Journal Br J Cancer

Specialty Oncology

Date 2005 Jun 16

PMID 15956963

Citations 36

Authors

C Nagata

T Matsubara

H Fujita

Y Nagao

C Shibuya

Y Kashiki

H Shimizu

Affiliations

Soon will be listed here.

Abstract

Using an automated method for detecting mammographic mass, the authors evaluated the relation between quantitatively measured density and the risk of breast cancer in a case-control study among Japanese women. The case subjects were 146 women newly diagnosed and histologically confirmed with breast cancer at a general hospital. A total of 659 control women were selected from those who attended a breast cancer mass screening at this hospital. Significantly increased odds ratios (ORs) of breast cancer were observed for breast densities of 25-49 and 50-74%, but not for densities of 75-100% as compared with 0% in premenopausal women after controlling for covariates (ORs = 4.0, 4.3, and 1.4, respectively). In postmenopausal women, ORs were significantly increased for breast densities of 25-50% (OR = 3.0) and 50-100% (OR = 4.2). Total breast area was significantly associated with the risk of breast cancer independent of density percent or dense area in postmenopausal women. These data suggested that mammographic density was associated with the risk of breast cancer in Japanese women as is the case in Caucasian women. However, the associations of the risk of breast cancer with breast size and a high breast density greater than 75%, needs to be confirmed in future studies.

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References

CARLILE T, Thompson D, Kopecky K, GILBERT F, Krook P, PRESENT A . Reproducibility and consistency in classification of breast parenchymal patterns. AJR Am J Roentgenol. 1983; 140(1):1-7. DOI: 10.2214/ajr.140.1.1. View

Brisson J, Merletti F, SADOWSKY N, TWADDLE J, MORRISON A, Cole P . Mammographic features of the breast and breast cancer risk. Am J Epidemiol. 1982; 115(3):428-37. DOI: 10.1093/oxfordjournals.aje.a113320. View

Wolfe J, Saftlas A, Salane M . Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case-control study. AJR Am J Roentgenol. 1987; 148(6):1087-92. DOI: 10.2214/ajr.148.6.1087. View

Brisson J, Verreault R, MORRISON A, Tennina S, Meyer F . Diet, mammographic features of breast tissue, and breast cancer risk. Am J Epidemiol. 1989; 130(1):14-24. DOI: 10.1093/oxfordjournals.aje.a115305. View

Hsieh C, Trichopoulos D . Breast size, handedness and breast cancer risk. Eur J Cancer. 1991; 27(2):131-5. DOI: 10.1016/0277-5379(91)90469-t. View

Saftlas A, Hoover R, Brinton L, Szklo M, Olson D, Salane M . Mammographic densities and risk of breast cancer. Cancer. 1991; 67(11):2833-8. DOI: 10.1002/1097-0142(19910601)67:11<2833::aid-cncr2820671121>3.0.co;2-u. View

Boyd N, Byng J, Jong R, Fishell E, Little L, Miller A . Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst. 1995; 87(9):670-5. DOI: 10.1093/jnci/87.9.670. View

Byrne C, Schairer C, Wolfe J, Parekh N, Salane M, Brinton L . Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst. 1995; 87(21):1622-9. DOI: 10.1093/jnci/87.21.1622. View

Kato I, Beinart C, Bleich A, Su S, Kim M, Toniolo P . A nested case-control study of mammographic patterns, breast volume, and breast cancer (New York City, NY, United States). Cancer Causes Control. 1995; 6(5):431-8. DOI: 10.1007/BF00052183. View

10.

Byng J, Boyd N, Little L, Lockwood G, Fishell E, Jong R . Symmetry of projection in the quantitative analysis of mammographic images. Eur J Cancer Prev. 1996; 5(5):319-27. DOI: 10.1097/00008469-199610000-00003. View

11.

Ursin G, Astrahan M, Salane M, Parisky Y, PEARCE J, Daniels J . The detection of changes in mammographic densities. Cancer Epidemiol Biomarkers Prev. 1998; 7(1):43-7. View

12.

Boyd N, Lockwood G, Byng J, Tritchler D, Yaffe M . Mammographic densities and breast cancer risk. Cancer Epidemiol Biomarkers Prev. 1998; 7(12):1133-44. View

13.

Byng J, Boyd N, Fishell E, Jong R, Yaffe M . The quantitative analysis of mammographic densities. Phys Med Biol. 1994; 39(10):1629-38. DOI: 10.1088/0031-9155/39/10/008. View

14.

Nagata C, Nagao Y, Shibuya C, Kashiki Y, Shimizu H . Urinary cadmium and serum levels of estrogens and androgens in postmenopausal Japanese women. Cancer Epidemiol Biomarkers Prev. 2005; 14(3):705-8. DOI: 10.1158/1055-9965.EPI-04-0619. View

15.

van Gils C, Hendriks J, Holland R, Karssemeijer N, Otten J, Straatman H . Changes in mammographic breast density and concomitant changes in breast cancer risk. Eur J Cancer Prev. 2000; 8(6):509-15. DOI: 10.1097/00008469-199912000-00006. View

16.

Lam P, Vacek P, Geller B, Muss H . The association of increased weight, body mass index, and tissue density with the risk of breast carcinoma in Vermont. Cancer. 2000; 89(2):369-75. DOI: 10.1002/1097-0142(20000715)89:2<369::aid-cncr23>3.0.co;2-j. View

17.

Maskarinec G, Meng L . A case-control study of mammographic densities in Hawaii. Breast Cancer Res Treat. 2000; 63(2):153-61. DOI: 10.1023/a:1006486319848. View

18.

Maskarinec G, Nagata C, Shimizu H, Kashiki Y . Comparison of mammographic densities and their determinants in women from Japan and Hawaii. Int J Cancer. 2002; 102(1):29-33. DOI: 10.1002/ijc.10673. View

19.

Jeffreys M, Warren R, Davey Smith G, Gunnell D . Breast density: agreement of measures from film and digital image. Br J Radiol. 2003; 76(908):561-3. DOI: 10.1259/bjr/14999231. View

20.

Key T, Allen N, Spencer E, Travis R . Nutrition and breast cancer. Breast. 2003; 12(6):412-6. DOI: 10.1016/s0960-9776(03)00145-0. View