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International Workshop on Digital Mammography

IWDM 2014: Breast Imaging pp 273–281Cite as

The Relationship of Volumetric Breast Density to Socio-Economic Status in a Screening Population

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8539))

Abstract

Breast cancer incidence has previously been shown to be greater in women of higher socio-economic status (SES), although the picture is complex due to variations in breast cancer risk factors. We have investigated the relationship between one of the strongest risk factors, breast density, with SES in a population of 6398 post- and peri-menopausal women. Volumetric breast density was measured using QuantraTM and VolparaTM, and SES was based on the Index of Multiple Deprivation (IMD) associated with each woman’s postcode. The mean IMD score was 26.39 (SD 16.7). Our results show a weak but significant association between SES and volumetric breast density; women from more deprived areas have slightly less dense breasts. After controlling for age, BMI and HRT use the relationship remained significant for density measured by VolparaTM (gradient -0.01, p <0.005) but not QuantraTM (gradient -0.007, p=0.07).

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Author information

Authors and Affiliations

  1. Manchester Medical School, University of Manchester, Stopford Building, Oxford Road, Manchester, M13 9PT, UK

    Louisa Samuels & D. Gareth Evans

  2. Centre for Imaging Sciences, Institute of Population Health, University of Manchester, Stopford Building, Oxford Road, Manchester, M13 9PT, UK

    Elaine Harkness, Susan M. Astley, Anthony Maxwell & Jamie Sergeant

  3. Genesis Breast Cancer Prevention Centre, University Hospital of South Manchester NHS Trust, Wythenshawe, Manchester, M23 9LT, UK

    Elaine Harkness, Susan M. Astley, Anthony Maxwell, Mary Wilson, Paula Stavrinos, D. Gareth Evans, Tony Howell & Megan Bydder

  4. Manchester Academic Health Science Centre, University Hospital of South Manchester NHS Foundation Trust, The University of Manchester, Wythenshawe, Manchester, M23 9LT, UK

    Elaine Harkness, Susan M. Astley, Anthony Maxwell, Julie Morris, Paula Stavrinos, D. Gareth Evans & Tony Howell

  5. Arthritis Research UK Centre for Epidemiology, Institute of Inflammation and Repair, Faculty of Medical and Human Sciences, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, M13 9PT, UK

    Jamie Sergeant

  6. NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, UK

    Jamie Sergeant

  7. Centre for Biostatistics, Institute of Population Health, University of Manchester, Oxford Road, Manchester, M13 9PT, UK

    Julie Morris

  8. Manchester Centre for Genomic Medicine, Central Manchester Foundation Trust, St. Mary’s Hospital, Oxford Road, Manchester, M13 9WL, UK

    D. Gareth Evans

  9. Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Christie Hospital, Withington, Manchester, M20 4BX, UK

    Susan M. Astley, Anthony Maxwell & Tony Howell

Authors
  1. Louisa Samuels
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  2. Elaine Harkness
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  3. Susan M. Astley
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  4. Anthony Maxwell
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  5. Jamie Sergeant
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  6. Julie Morris
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  7. Mary Wilson
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  8. Paula Stavrinos
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  9. D. Gareth Evans
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  10. Tony Howell
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  11. Megan Bydder
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Editor information

Editors and Affiliations

  1. Department of Intelligent Image Information, Gifu University Graduate School of Medicine, 1-1 Yanagido, 501-1194, Gifu, Gifu, Japan

    Hiroshi Fujita , Takeshi Hara  & Chisako Muramatsu ,  & 

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© 2014 Springer International Publishing Switzerland

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Samuels, L. et al. (2014). The Relationship of Volumetric Breast Density to Socio-Economic Status in a Screening Population. 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_39

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  • DOI: https://doi.org/10.1007/978-3-319-07887-8_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07886-1

  • Online ISBN: 978-3-319-07887-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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