@inproceedings{cc06643b40074e4b96ba1ce35ead109b,
title = "Digital Mammography",
abstract = "Conventional risk models for the development of breast cancer useinputs such as age, weight, hormonal factors and family history to compute individual breast cancer risk. These are employed in the management of womenat high risk. The addition of breast density as an input has been shown to improvethe accuracy of such models. An improved risk model could facilitaterisk-based population screening. However, in order to use breast density in riskmodels there is a need to employ objective methods for measuring the density.A feasibility study has been carried out to assess the practicality of using astepwedge-based technique for measuring breast density from mammograms inthe UK National Health Service Breast Screening Programme and to determinewhether additional information, relevant to risk, can be collected by questionnaire.Preliminary results suggest that it is practical to use such a technique inthe screening environment. In a sample of 100 women, the mean density was27% (range 2 - 81%). A negative trend in breast density was observed withBody Mass Index.",
keywords = "Breast density, risk factors, prediction models",
author = "Jennifer Diffey and Elizabeth Krupinski",
year = "2008",
month = jul,
language = "English",
volume = "5116",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
booktitle = "Lecture Notes in Computer Science",
address = "United States",
note = "9th International Workshop on Digital Mammography ; Conference date: 20-07-2008 Through 23-07-2008",
}