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Variations in Breast Density and Mammographic Risk Factors in Different Ethnic Groups

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Breast Imaging (IWDM 2016)

Abstract

This study investigates variations in mammographic density by ethnic group in women attending the NHS breast screening programme in Greater Manchester. Density was estimated using VolparaTM and QuantraTM. Data was analysed for 651 Asian/Asian British, 416 Black/Black British, 394 Jewish origin, 181 ‘Mixed’, 700 ‘Other’ and a random sample of 10,000 women who declared their ethnic origin as White (British or Irish). Age ranged from 46–84 years and mean BMI was 27.4 kg/m2. Fibroglandular volume (VolparaTM) was highest in women of Black/Black British origin (59.4 cm3) and lowest in Asian/Asian British women (47.9 cm3). After adjusting for a number of hormonal and other factors the magnitude of the difference between groups decreased, however, there were still a number of statistical differences between groups. Ethnic differences in mammographic density and personal factors may subsequently contribute to differences in breast cancer incidence.

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Acknowledgements

We acknowledge the support of the National Institute for Health Research (NIHR) and the Genesis Prevention Appeal for their funding of the PROCAS study. We would like to thank the women who agreed to take part in the study and the study staff for recruitment and data collection. We also thank Hologic Inc. for providing QuantraTM and Matakina Technology Limited for providing VolparaTM. This paper presents independent research funded by the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research programme (reference number RP-PG-0707-10031: “Improvement in risk prediction, early detection and prevention of breast cancer”). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health.

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Correspondence to Elaine F. Harkness .

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Harkness, E.F. et al. (2016). Variations in Breast Density and Mammographic Risk Factors in Different Ethnic Groups. In: Tingberg, A., Lång, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_64

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  • DOI: https://doi.org/10.1007/978-3-319-41546-8_64

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-41546-8

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