Abstract
Body Mass Index (BMI) is an important confounding factor for breast density assessment, particularly where a relative measure (percentage density) is used. Since height and weight are not routinely collected at screening, we investigated the relationship between breast and fat volumes computed by QuantraTM and VolparaTM and weight/BMI in 6898 women for whom self-reported values are available. A significant positive correlation was found between breast volume and fat volume with both weight and BMI. BMI and VolparaTM average fat volume showed the strongest positive relationship (r = 0.728, p<0.001). Using these results we predicted weight and BMI for a separate group of women; these showed moderate intraclass correlation (ICC) agreement with self-reported weight and BMI. The strongest relationship was with weight predicted using QuantraTM average fat volume (ICC = 0.634, CI = 0.573-0.689, p<0.001), however our results suggest that it is not possible to accurately predict individuals’ weight and BMI from volumetric breast density measures.
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Donovan, E.O. et al. (2014). Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass Index. In: Fujita, H., Hara, T., Muramatsu, C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham. https://doi.org/10.1007/978-3-319-07887-8_40
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DOI: https://doi.org/10.1007/978-3-319-07887-8_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07886-1
Online ISBN: 978-3-319-07887-8
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