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Study Title and Description

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



Key Questions Addressed
1 Key Question 1. In adult women without preexisting breast cancer, what is the accuracy of risk assessment methods to identify women who could benefit from medications to reduce risk for primary breast cancer (e.g., clinical risk assessment models)? Key Question 1a. What is the optimal age at which to begin risk assessment to identify women who could benefit from medications to reduce risk for primary breast cancer? Key Question 1b. What is the optimal frequency of risk assessment to identify women who could benefit from medications to reduce risk for primary breast cancer?
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Primary Publication Information
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TitleData
Title Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort.
Author Brentnall AR., Harkness EF., Astley SM., Donnelly LS., Stavrinos P., Sampson S., Fox L., Sergeant JC., Harvie MN., Wilson M., Beetles U., Gadde S., Lim Y., Jain A., Bundred S., Barr N., Reece V., Howell A., Cuzick J., Evans DG.
Country Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Charterhouse Square, Barts and The London, Queen Mary University of London, London, EC1M 6BQ, UK. a.brentnall@qmul.ac.uk.
Year 2015
Numbers Pubmed ID: 26627479

Secondary Publication Information
There are currently no secondary publications defined for this study.


Extraction Form: Key Questions 1-4


Results & Comparisons

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