Journal article
Comparison of fully and semi-automated area-based methods for measuring mammographic density and predicting breast cancer risk
U Sovio, J Li, Z Aitken, K Humphreys, K Czene, S Moss, P Hall, V McCormack, I Dos-Santos-Silva
British Journal of Cancer | NATURE PUBLISHING GROUP | Published : 2014
DOI: 10.1038/bjc.2014.82
Abstract
Background:Mammographic density is a strong risk factor for breast cancer but the lack of valid fully automated methods for quantifying it has precluded its use in clinical and screening settings. We compared the performance of a recently developed automated approach, based on the public domain ImageJ programme, to the well-established semi-automated Cumulus method.Methods:We undertook a case-control study within the intervention arm of the Age Trial, in which ∼54 000 British women were offered annual mammography at ages 40-49 years. A total of 299 breast cancer cases diagnosed during follow-up and 422 matched (on screening centre, date of birth and dates of screenings) controls were include..
View full abstractGrants
Awarded by Cancer Research UK
Funding Acknowledgements
We thank the participating National Health Services Breast Screening Programme (NHSBSP) centres for their help with the retrieval of the mammographic films for the study participants. This study was funded by project grants from Breast Cancer Campaign (2007MayPR23) and Cancer Research UK (G186/11). The work by IdSS was partly undertaken during the tenure of a Senior Visiting Scientist Award by the International Agency for Research on Cancer. The funding bodies had no role in the design of the study; in the collection, analysis and interpretation of data; in the writing of the manuscript; or in the decision to submit the manuscript for publication.