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Abstract
This study compared different approaches to measuring breast density and breast tissue composition (BTC) in adolescent girls (n = 42, aged 14–16 years) and their mothers (n = 39, aged 36–61 years) from a cohort in Santiago, Chile. Optical spectroscopy (OS) was used to measure collagen, water, and lipid concentrations, which were combined into a percent breast density index (%BDI). A clinical dual-energy X-ray absorptiometry (DXA) system calibrated to measure breast density provided percent fibroglandular volume (%FGV) from manually delineated images. After digitizing mammogram films, the percent mammographic breast density (%MBD) was measured using computer-assisted software. Partial correlation coefficients (rpartial) were used to evaluate associations between breast density measures and BTC from these three different measurement approaches, adjusting for age and body mass index. %BDI from OS was associated with %FGV from DXA in adolescent girls (rpartial = 0.46, p-value = 0.003), but not in mothers (rpartial = 0.17, p-value = 0.32). In mothers, %FGV from DXA was associated with %MBD from mammograms (rpartial = 0.60, p-value < 0.001). These findings suggest that data from OS, DXA, and mammograms provide related but distinct information about breast density and BTC. Future studies should explore how the information provided by these different devices can be used for breast cancer risk prediction in cohorts of adolescent girls and women.
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1 Columbia University, Department of Epidemiology, Mailman School of Public Health, New York, USA (GRID:grid.21729.3f) (ISNI:0000000419368729)
2 University Health Network, Princess Margaret Cancer Centre, Toronto, Canada (GRID:grid.231844.8) (ISNI:0000 0004 0474 0428)
3 University of Chile, Institute of Nutrition and Food Technology, Santiago, Chile (GRID:grid.443909.3) (ISNI:0000 0004 0385 4466)
4 University of California, Los Angeles, Department of Epidemiology, Fielding School of Public Health, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of Freiburg, Faculty of Medicine and Medical Center, Insitute for Prevention and Cancer Epidemiology, Freiburg, Germany (GRID:grid.5963.9)
5 University of Hawaii Cancer Center, Population Sciences in the Pacific Program, Honolulu, USA (GRID:grid.410445.0) (ISNI:0000 0001 2188 0957)
6 University Health Network, Princess Margaret Cancer Centre, Toronto, Canada (GRID:grid.231844.8) (ISNI:0000 0004 0474 0428); University of Toronto, Department of Medical Biophysics, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
7 Columbia University, Department of Epidemiology, Mailman School of Public Health, New York, USA (GRID:grid.21729.3f) (ISNI:0000000419368729); Columbia University Medical Center, Herbert Irving Comprehensive Cancer Center, New York, USA (GRID:grid.239585.0) (ISNI:0000 0001 2285 2675)