Literature DB >> 7640235

Mammographic densities as a criterion for entry to a clinical trial of breast cancer prevention.

N F Boyd1, E Fishell, R Jong, J C MacDonald, R K Sparrow, I S Simor, V Kriukov, G Lockwood, D Tritchler.   

Abstract

The most convincing evidence that a factor such as dietary fat is causally related to breast cancer would be obtained from a randomised controlled trial in which exposure to dietary fat intake was systematically varied. A limitation of randomised controlled trials of breast cancer prevention, however, is the large sample size required to detect plausible reductions in risk resulting from the intervention. We describe here experience over a period of 9 years with the use of one risk factor for breast cancer as a criterion for entry to a clinical trial of breast cancer prevention. The risk factor used was the presence of extensive densities in the breast tissue on mammography, which has been found by several investigators to be strongly associated with risk of breast cancer. Using this criterion for selection, 1800 subjects of mean age 46 years were enrolled between 1982 and 1986, and again between 1988 and the present. Throughout this period, the point estimate of annual invasive cancer incidence was approximately 6 per 1000 per year. The observed cancer incidence has been consistently 4-5 times the incidence expected from age-specific breast cancer incidence data for women living in Ontario. These data show that the selection of subjects for a clinical trial of breast cancer prevention using the criterion of extensive breast parenchymal densities does identify a group at substantially increased risk of breast cancer. Use of this criterion for the selection of subjects can substantially reduce the sample size required for a clinical trial of a preventive strategy.

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Year:  1995        PMID: 7640235      PMCID: PMC2033973          DOI: 10.1038/bjc.1995.358

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  28 in total

1.  Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case-control study.

Authors:  J N Wolfe; A F Saftlas; M Salane
Journal:  AJR Am J Roentgenol       Date:  1987-06       Impact factor: 3.959

Review 2.  Mammographic parenchymal patterns and breast cancer risk.

Authors:  A F Saftlas; M Szklo
Journal:  Epidemiol Rev       Date:  1987       Impact factor: 6.222

3.  Height and weight, mammographic features of breast tissue, and breast cancer risk.

Authors:  J Brisson; A S Morrison; D B Kopans; N L Sadowsky; L Kalisher; J A Twaddle; J E Meyer; C I Henschke; P Cole
Journal:  Am J Epidemiol       Date:  1984-03       Impact factor: 4.897

4.  Risk for breast cancer development determined by mammographic parenchymal pattern.

Authors:  J N Wolfe
Journal:  Cancer       Date:  1976-05       Impact factor: 6.860

5.  Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study.

Authors:  N F Boyd; J W Byng; R A Jong; E K Fishell; L E Little; A B Miller; G A Lockwood; D L Tritchler; M J Yaffe
Journal:  J Natl Cancer Inst       Date:  1995-05-03       Impact factor: 13.506

6.  The relation of mammographic features of the breast to breast cancer risk factors.

Authors:  J Brisson; N L Sadowsky; J A Twaddle; A S Morrison; P Cole; F Merletti
Journal:  Am J Epidemiol       Date:  1982-03       Impact factor: 4.897

7.  Progress against cancer?

Authors:  J C Bailar; E M Smith
Journal:  N Engl J Med       Date:  1986-05-08       Impact factor: 91.245

8.  Wolfe mammographic parenchymal patterns. A study of the masking hypothesis of Egan and Mosteller.

Authors:  J Whitehead; T Carlile; K J Kopecky; D J Thompson; F I Gilbert; A J Present; B A Threatt; P Krook; E Hadaway
Journal:  Cancer       Date:  1985-09-15       Impact factor: 6.860

9.  Bias and the association of mammographic parenchymal patterns with breast cancer.

Authors:  N F Boyd; B O'Sullivan; J E Campbell; E Fishell; I Simor; G Cooke; T Germanson
Journal:  Br J Cancer       Date:  1982-02       Impact factor: 7.640

10.  Mammographic signs as risk factors for breast cancer.

Authors:  N F Boyd; B O'Sullivan; J E Campbell; E Fishell; I Simor; G Cooke; T Germanson
Journal:  Br J Cancer       Date:  1982-02       Impact factor: 7.640

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  3 in total

Review 1.  Suitable trial designs and cohorts for preventive breast cancer agents.

Authors:  Kathrin Strasser-Weippl; Paul E Goss
Journal:  Nat Rev Clin Oncol       Date:  2013-10-08       Impact factor: 66.675

Review 2.  Chemoprevention of breast cancer: implications for postmenopausal women.

Authors:  Carol J Fabian; Bruce F Kimler
Journal:  Drugs Aging       Date:  2002       Impact factor: 3.923

3.  Association between menopausal hormone therapy, mammographic density and breast cancer risk: results from the E3N cohort study.

Authors:  G Severi; L Baglietto; M Fornili; V Perduca; A Fournier; A Jérolon; M C Boutron-Ruault; G Maskarinec
Journal:  Breast Cancer Res       Date:  2021-04-17       Impact factor: 6.466

  3 in total

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