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      A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

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          Abstract

          It is well established that high mammographic density (MD), when adjusted for age and body mass index, is one of the strongest known risk factors for breast cancer (BC), and also associates with higher incidence of interval cancers in screening due to the masking of early mammographic abnormalities. Increasing research is being undertaken to determine the underlying histological and biochemical determinants of MD and their consequences for BC pathogenesis, anticipating that improved mechanistic insights may lead to novel preventative or treatment interventions. At the same time, technological advances in digital and contrast mammography are such that the validity of well-established relationships needs to be re-examined in this context.

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          Author and article information

          Journal
          Breast Cancer Res Treat
          Breast cancer research and treatment
          Springer Science and Business Media LLC
          1573-7217
          0167-6806
          Sep 2019
          : 177
          : 2
          Affiliations
          [1 ] Department of Head and Neck and Endocrine Surgery, Faculty of Medicine, University of Alexandria, Alexandria, Egypt.
          [2 ] Department of Breast Surgery, St Bartholomew Hospital (Barts), London, UK.
          [3 ] Department of Surgery, St Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia.
          [4 ] Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
          [5 ] School of Medicine, University of Western Australia, Perth, WA, Australia.
          [6 ] Sir Peter MacCallum Department of Oncology, University of Melbourne, Grattan Street, Parkville, Melbourne, VIC, 3010, Australia.
          [7 ] Department of Surgery, St Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia. e2.thompson@qut.edu.au.
          [8 ] Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia. e2.thompson@qut.edu.au.
          [9 ] Translational Research Institute, Rm 7031, 37 Kent St., Woolloongabba, Brisbane, QLD, Australia. e2.thompson@qut.edu.au.
          Article
          10.1007/s10549-019-05300-1
          10.1007/s10549-019-05300-1
          31177342
          3eef6e64-7ac6-4a26-b1e4-c714b605642b
          History

          Breast cancer,Breast cancer pathology,Mammographic density,Oestrogen receptor

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