Jennifer Diffey
Estimating individual cancer risks in the UK national breast screening programme: A feasibility study
Diffey, Jennifer; Hufton, Alan; Astley, Susan; Mercer, Claire; Maxwell, Anthony
Authors
Alan Hufton
Susan Astley
Dr Claire Mercer C.E.Mercer@salford.ac.uk
Head of Radiography
Anthony Maxwell
Abstract
Conventional risk models for the development of breast cancer use inputs such as age, weight, hormonal factors and family history to compute individual breast cancer risk. These are employed in the management of women at high risk. The addition of breast density as an input has been shown to improve the accuracy of such models. An improved risk model could facilitate risk-based population screening. However, in order to use breast density in risk models 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 a stepwedge-based technique for measuring breast density from mammograms in the UK National Health Service Breast Screening Programme and to determine whether additional information, relevant to risk, can be collected by questionnaire. Preliminary results suggest that it is practical to use such a technique in the screening environment. In a sample of 100 women, the mean density was 27% (range 2 - 81%). A negative trend in breast density was observed with Body Mass Index.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 9th International Workshop, IWDM 2008 |
Publication Date | 2008 |
Deposit Date | Aug 11, 2023 |
Publisher | Springer |
Pages | 469-476 |
Series ISSN | 1611-3349 |
Book Title | International Workshop on Digital Mammography |
DOI | https://doi.org/10.1007/978-3-540-70538-3_65 |
You might also like
Person-Centered Care in Breast Imaging
(2024)
Book Chapter
Skin tears in mammography: A narrative review
(2023)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search