Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

Tuong L Nguyen; Ye K Aung; Shuai Li; Ho Trinh Nhut; Christopher F Evans; Laura Baglietto; Kavitha Krishnan; Gillian S Dite; Jennifer Stone; Dallas R English; Yun-Mi Song; Joohon Sung; Mark A Jenkins; Melissa C Southey; Graham G Giles; John L Hopper

Journal article

Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

Tuong L Nguyen, Ye K Aung, Shuai Li, Ho Trinh Nhut, Christopher F Evans, Laura Baglietto, Kavitha Krishnan, Gillian S Dite, Jennifer Stone, Dallas R English, Yun-Mi Song, Joohon Sung, Mark A Jenkins, Melissa C Southey, Graham G Giles, John L Hopper

BREAST CANCER RESEARCH | BMC | Published : 2018

DOI: 10.1186/s13058-018-1081-0

Download PDF

Abstract

BACKGROUND: Case-control studies show that mammographic density is a better risk factor when defined at higher than conventional pixel-brightness thresholds. We asked if this applied to interval and/or screen-detected cancers. METHOD: We conducted a nested case-control study within the prospective Melbourne Collaborative Cohort Study including 168 women with interval and 422 with screen-detected breast cancers, and 498 and 1197 matched controls, respectively. We measured absolute and percent mammographic density using the Cumulus software at the conventional threshold (Cumulus) and two increasingly higher thresholds (Altocumulus and Cirrocumulus, respectively). Measures were transformed and ..

View full abstract

University of Melbourne Researchers

Graham Giles Author Melbourne School of Population and Global Health

Shuai Li Author Melbourne School of Population and Global Health

Laura Baglietto Author Melbourne School of Population and Global Health

Kevin Nguyen Author Melbourne School of Population and Global Health

John Hopper Author Melbourne School of Population and Global Health

Related Projects (2)

PLATYPUS

This proposal builds on the applicants’ experience with existing large prospective studies and on studies of families of patients with bowel..

Epidemiology of chronic disease, health interventions and DNA studies

nan

Grants

Awarded by National Health and Medical Research Council

Awarded by National Breast Cancer Foundation

Funding Acknowledgements

This work was supported by the National Health and Medical Research Council (grant numbers 251533, 209057 and 504711), the Victorian Health Promotion Foundation, Cancer Council Victoria, Cancer Council NSW, Cancer Australia and the National Breast Cancer Foundation. TLN has been supported by a NHMRC Post-Graduate Scholarship, The Richard Lowell Travelling Scholarship, The University of Melbourne, VCCC Picchi Award for Excellence in Cancer Research and a Cancer Council Victoria Post-doctoral Fellowship. YKA has been supported by the Australian Agency for International Development (AusAID). SL is supported by the Australian Postgraduate Award, International Postgraduate Research Scholarship and The Richard Lowell Travelling Scholarship from The University of Melbourne. JS has been supported by the National Breast Cancer Foundation Post-doctoral Training Fellowship. JLH is a NHMRC Senior Principal Research Fellow and a Distinguished Visiting Professor at Seoul National University. MCS and MAJ are NHMRC Senior Research Fellows.