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Mammographic parenchymal patterns and breast cancer risk in New South Wales North Coast Aboriginal and Torres Strait Islander women

  • CQUniversity Rockhampton
  • University of Papua New Guinea
  • Central Queensland University

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Abstract

Introduction: The objective of the study was to document the distribution ofmammographic parenchymal patterns (MPP) of Indigenous Australian women attending Breast Screen New South Wales (NSW) North Coast, to profile breast cancer risk as it relates to breast density and to explore the correlation between MPP, breast size as described by the posterior nipple line (PNL) and age.
Methods: Ethics was granted from CQ University Human Research Ethics Committee, NSW Population Health Services Research Ethics Committee and the
Aboriginal Health and Medical Research Council Ethics Committee. Aquantitative retrospective analysis reviewed 502 screening mammograms againstthe Tabar I–V MPP classification system. The PNL was measured in millimetres (mm) and the age of the patient documented.

Results: A statistically significant variation in the distribution of MPP (P < 0.0001) was demonstrated, with patterns of I (23.9%), II (45.6%), III (10.4%), IV (15.9%) and V (4.2%).Statistically significant differences were noted in the age of subjects between patterns (P = 0.0002). Patterns I and V demonstrated statistically significant lower ages than II, III and IV (all P < 0.05). Pattern V demonstrated a statistically significant lower age than pattern I (P = 0.0393). Pattern V demonstrated a statistically significant lower PNL value than all other patterns (all P < 0.001/P < 0.0002); pattern II was statistically significantly higher in PNL value than allother patterns (P < 0.002/P < 0.001). No significant relationship was noted between PNL and age.

Conclusion: The study demonstrated that no identifiable or unique distribution of MPP was noted in this snapshot of Indigenous women. A larger study of Indigenous Australian women is required for validation.
Original languageEnglish
Pages (from-to)81-88
Number of pages8
JournalJournal of Medical Radiation Sciences
Volume63
Issue number2
DOIs
Publication statusPublished - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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