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Mammographic Density Over Time in Women With and Without Breast Cancer

  • Conference paper
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Breast Imaging (IWDM 2016)

Abstract

This study compared mammographic density over time between women who developed breast cancer (cases) and women who did not (controls). Cases had an initial negative mammographic screen and another three years later when cancer was diagnosed. Cases were matched to three controls with two successive negative screens by age, year of mammogram, BMI, parity, menopausal status and HRT use. Mammographic density was measured by VolparaTM. There was a significant reduction in percentage density in the affected breast for cases (5.2 to 4.8 %, p < 0.001) and for the same matched breast in controls (4.9 to 4.5, p < 0.001). Similar results were found for the unaffected breast. After adjusting for density measures at the initial screen, case-control status was only significantly associated with fibroglandular volume in the unaffected breast (adjusted mean 45.8 cm3 in cases, 44.0 cm3 in controls, p = 0.008). The results suggest changes in mammographic density may be less important than initial mammographic density.

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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 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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Humphrey, A. et al. (2016). Mammographic Density Over Time in Women With and Without Breast Cancer. 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_37

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  • DOI: https://doi.org/10.1007/978-3-319-41546-8_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41545-1

  • Online ISBN: 978-3-319-41546-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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