Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort.
Authors
Brentnall, AHarkness, E
Astley, S
Donnelly, L
Stavrinos, P
Sampson, S
Fox, L
Sergeant, J
Harvie, M
Wilson, M
Beetles, U
Gadde, S
Lim, Y
Jain, A
Bundred, S
Barr, N
Reece, V
Howell, Anthony
Cuzick, J
Evans, D Gareth R
Affiliation
Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Charterhouse Square, Barts and The London, Queen Mary University of London, LondonIssue Date
2015
Metadata
Show full item recordAbstract
The Predicting Risk of Cancer at Screening study in Manchester, UK, is a prospective study of breast cancer risk estimation. It was designed to assess whether mammographic density may help in refinement of breast cancer risk estimation using either the Gail model (Breast Cancer Risk Assessment Tool) or the Tyrer-Cuzick model (International Breast Intervention Study model).Citation
Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. 2015, 17 (1):147 Breast Cancer ResJournal
Breast Cancer ResearchDOI
10.1186/s13058-015-0653-5PubMed ID
26627479Type
ArticleLanguage
enISSN
1465-542Xae974a485f413a2113503eed53cd6c53
10.1186/s13058-015-0653-5
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