Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort.

Brentnall, A; Harkness, 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, London

Issue Date

2015

Metadata

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Abstract

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 Res

Journal

Breast Cancer Research

URI

http://hdl.handle.net/10541/592980

DOI

10.1186/s13058-015-0653-5

PubMed ID

26627479

Type

Article

Language

ISSN

1465-542X

Collections

All Christie Publications