Journal article
Causal relationships between breast cancer risk factors based on mammographic features
Z Ye, TL Nguyen, GS Dite, RJ MacInnis, DF Schmidt, E Makalic, OM Al-Qershi, M Bui, VFC Esser, JG Dowty, HN Trinh, CF Evans, M Tan, J Sung, MA Jenkins, GG Giles, MC Southey, JL Hopper, S Li
Breast Cancer Research | BMC | Published : 2023
Abstract
Background: Mammogram risk scores based on texture and density defined by different brightness thresholds are associated with breast cancer risk differently and could reveal distinct information about breast cancer risk. We aimed to investigate causal relationships between these intercorrelated mammogram risk scores to determine their relevance to breast cancer aetiology. Methods: We used digitised mammograms for 371 monozygotic twin pairs, aged 40–70 years without a prior diagnosis of breast cancer at the time of mammography, from the Australian Mammographic Density Twins and Sisters Study. We generated normalised, age-adjusted, and standardised risk scores based on textures using the Cirru..
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Grants
Awarded by National Research Foundation of Korea
Funding Acknowledgements
We wish to thank Twins Research Australia and the twins who participated in this study. The Australian Mammographic Density Twins and Sisters Study was facilitated through access to Twins Research Australia, a national resource supported by a Centre of Research Excellence Grant (Grant No. 1079102) from the NHMRC. Z.Y is supported by China Scholarship Council-University of Melbourne PhD Scholarship. T.L.N. is supported by Cancer Council Victoria (AF7305). S.L. is an NHMRC Emerging Leadership Fellow (GNT2017373). V.F.C.E. is supported by an Australian Government Research Training Program Scholarship. M.C.S. is supported by a NHMRC Fellowship (GNT1155163). J.L.H. is supported by a NHMRC Fellowship (GNT1137349).