Literature DB >> 18096111

Mammographic breast density by area of residence: possible evidence of higher density in urban areas.

N M Perry1, P C Allgood, S E Milner, K Mokbel, S W Duffy.   

Abstract

OBJECTIVES: A comparison of mammographic breast densities of women living in London with those of women living in rural and suburban areas. DESIGN AND METHODS: Using the standard four American College of Radiology Breast Imaging Reporting and Data System (BIRADS) categories of mammographic density, 318 mammograms of women from London and 654 mammograms of women from outside the capital aged 27-87 years who had received mammography at the Princess Grace Hospital, London, were assessed for density. The association between having any dense tissue and area of residence was assessed using both ordered and standard logistic regression, giving odds ratio estimates of relative risk of dense tissue adjusting for age.
RESULTS: Adjusting for age, London residents had significantly higher levels of density (OR = 1.32, 95% CI 1.04-1.70, p = 0.02). The major difference occurred in the age group 45-54 years and was most strongly manifested as a higher rate in London for density of 25% or more (BIRADS categories 2-4) as compared to almost entirely fatty (BIRADS 1) (OR = 2.22, 95% CI 1.05-4.68, p = 0.035).
CONCLUSION: The higher density is likely to be due to a different prevalence of risk factors in the London population. This study cannot ascertain the reason for the higher density in this urban population, but the result is a cause for concern given that screening uptake is lower in London. Increased attention to screening in urban areas and attention to screening quality for dense breast tissue might be prudent.

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Year:  2008        PMID: 18096111     DOI: 10.1185/030079908x260907

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  12 in total

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2.  Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI.

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4.  The Breast Imaging Reporting and Data System (BI-RADS) in the Dutch breast cancer screening programme: its role as an assessment and stratification tool.

Authors:  J M H Timmers; H J van Doorne-Nagtegaal; H M Zonderland; H van Tinteren; O Visser; A L M Verbeek; G J den Heeten; M J M Broeders
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5.  Long-term exposure to air pollution and mammographic density in the Danish Diet, Cancer and Health cohort.

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6.  Geographic variation in volumetric breast density between screening regions in the Netherlands.

Authors:  Daniëlle van der Waal; Marleen J Emaus; Marije F Bakker; Gerard J den Heeten; Nico Karssemeijer; Ruud M Pijnappel; Wouter B Veldhuis; André L M Verbeek; Carla H van Gils; Mireille J M Broeders
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7.  Association between air pollution and mammographic breast density in the Breast Cancer Surveilance Consortium.

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8.  Mammographic Breast Density and Urbanization: Interactions with BMI, Environmental, Lifestyle, and Other Patient Factors.

Authors:  Nick Perry; Sue Moss; Steve Dixon; Sue Milner; Kefah Mokbel; Charlotte Lemech; Hendrik-Tobias Arkenau; Stephen Duffy; Katja Pinker
Journal:  Diagnostics (Basel)       Date:  2020-06-20

9.  The distribution and determinants of mammographic density measures in Western Australian aboriginal women.

Authors:  Kirsty McLean; Ellie Darcey; Gemma Cadby; Helen Lund; Leanne Pilkington; Andrew Redfern; Sandra Thompson; Christobel Saunders; Elizabeth Wylie; Jennifer Stone
Journal:  Breast Cancer Res       Date:  2019-02-28       Impact factor: 6.466

10.  Assessment of breast density in women from different regions of Brazil.

Authors:  Camila Engler; Lucas Paixão; Luiza Freire de Souza; Margarita Chevalier; Maria do Socorro Nogueira
Journal:  Heliyon       Date:  2021-05-31
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