Journal article

Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk

Evenda Dench, Daniela Bond-Smith, Ellie Darcey, Grant Lee, Ye K Aung, Ariane Chan, Jack Cuzick, Ze Y Ding, Chris F Evans, Jennifer Harvey, Ralph Highnam, Meng-Kang Hsieh, Despina Kontos, Shuai Li, Shivaani Mariapun, Carolyn Nickson, Tuong L Nguyen, Said Pertuz, Pietro Procopio, Nadia Rajaram Show all

BMJ Open | BMJ PUBLISHING GROUP | Published : 2019

Abstract

INTRODUCTION: For women of the same age and body mass index, increased mammographic density is one of the strongest predictors of breast cancer risk. There are multiple methods of measuring mammographic density and other features in a mammogram that could potentially be used in a screening setting to identify and target women at high risk of developing breast cancer. However, it is unclear which measurement method provides the strongest predictor of breast cancer risk. METHODS AND ANALYSIS: The measurement challenge has been established as an international resource to offer a common set of anonymised mammogram images for measurement and analysis. To date, full field digital mammogram images ..

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