Journal article
Using mammographic density to predict breast cancer risk: Dense area or percentage dense area
J Stone, J Ding, RML Warren, SW Duffy, JL Hopper
Breast Cancer Research | BIOMED CENTRAL LTD | Published : 2010
DOI: 10.1186/bcr2778
Abstract
Introduction: Mammographic density (MD) is one of the strongest risk factors for breast cancer. It is not clear whether this association is best expressed in terms of absolute dense area or percentage dense area (PDA).Methods: We measured MD, including nondense area (here a surrogate for weight), in the mediolateral oblique (MLO) mammogram using a computer-assisted thresholding technique for 634 cases and 1,880 age-matched controls from the Cambridge and Norwich Breast Screening programs. Conditional logistic regression was used to estimate the risk of breast cancer, and fits of the models were compared using likelihood ratio tests and the Bayesian information criteria (BIC). All P values we..
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Awarded by European Commission
Funding Acknowledgements
This work was supported by an EC grant for e-Science for the MammoGrid project (RMLW); National Health and Medical Research Council (NHMRC; grant number 454671; JLH, JS); Overseas Research Scholarship (JD); and Cambridge Commonwealth Trust Scholarship (JD). JLH is an Australia Fellow of the NHMRC and a Victorian Breast Cancer Consortium (VBCRC) Group Leader. Funding bodies played no role in the collection, analysis and interpretation of data; in the writing of the manuscript; and in the decision to submit the manuscript for publication. We thank Professor Michael Brady and Dr Chris Tromans of the University of Oxford, the staff of the breast screening services of Cambridge and Huntingdon and Norfolk and Norwich and the Cambridge Mammography research team: Iqbal Warsi and Masako Kataoka.