Journal article
Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms
TL Nguyen, YK Aung, CF Evans, C Yoon-Ho, MA Jenkins, J Sung, JL Hopper, YM Song
Breast Cancer Research | Published : 2015
Abstract
Introduction: When measured using the computer-assisted method CUMULUS, mammographic density adjusted for age and body mass index predicts breast cancer risk. We asked if new mammographic density measures defined by higher brightness thresholds gave better risk predictions. Methods: The Korean Breast Cancer Study included 213 women diagnosed with invasive breast cancer and 630 controls matched for age at full-field digital mammogram and menopausal status. Mammographic density was measured using CUMULUS at the conventional threshold (Cumulus), and in effect at two increasingly higher thresholds, which we call Altocumulus and Cirrocumulus, respectively. All measures were Box-Cox transformed an..
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Grants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (number 2011-0013545 and 2010-0029113) and the Ministry of Science, ICT and Future Planning (2014R1A2A2A01002705). The funding sources had no involvement in conducting this study. TLN is supported by a Postgraduate Scholarship from the National Health and Medical Research Council (NHMRC) and The Richard Lowell Travelling Scholarship, The University of Melbourne. YKA was supported by the Australian Agency for International Development (AusAID). JLH is a NHMRC Senior Principal Research Fellow and a Distinguished Visiting Professor at Seoul National University.