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Warner ET, Rice MS, Zeleznik OA, et al. Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study. NPJ Breast Cancer. 2021;7(1):68doi: 10.1038/s41523-021-00272-2.
Warner, E. T., Rice, M. S., Zeleznik, O. A., Fowler, E. E., Murthy, D., Vachon, C. M., Bertrand, K. A., Rosner, B. A., Heine, J., & Tamimi, R. M. (2021). Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study. NPJ breast cancer, 7(1), 68. https://doi.org/10.1038/s41523-021-00272-2
Warner, Erica T, et al. "Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study." NPJ breast cancer vol. 7,1 (2021): 68. doi: https://doi.org/10.1038/s41523-021-00272-2
Warner ET, Rice MS, Zeleznik OA, Fowler EE, Murthy D, Vachon CM, Bertrand KA, Rosner BA, Heine J, Tamimi RM. Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study. NPJ Breast Cancer. 2021 May 31;7(1):68. doi: 10.1038/s41523-021-00272-2. PMID: 34059687; PMCID: PMC8166859.
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NPJ Breast Cancer. 2021 May 31;7(1):68. doi: 10.1038/s41523-021-00272-2.

Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study.

NPJ breast cancer

Erica T Warner, Megan S Rice, Oana A Zeleznik, Erin E Fowler, Divya Murthy, Celine M Vachon, Kimberly A Bertrand, Bernard A Rosner, John Heine, Rulla M Tamimi

Affiliations

  1. Clinical and Translational Epidemiology Unit, Department of Medicine, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. [email protected].
  2. Clinical and Translational Epidemiology Unit, Department of Medicine, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  3. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  4. Division of Population Sciences, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
  5. Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  6. Slone Epidemiology Center, Boston University, Boston, MA, USA.
  7. Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  8. Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.

PMID: 34059687 PMCID: PMC8166859 DOI: 10.1038/s41523-021-00272-2

Abstract

Percent mammographic density (PMD) is a strong breast cancer risk factor, however, other mammographic features, such as V, the standard deviation (SD) of pixel intensity, may be associated with risk. We assessed whether PMD, automated PMD (APD), and V, yielded independent associations with breast cancer risk. We included 1900 breast cancer cases and 3921 matched controls from the Nurses' Health Study (NHS) and the NHSII. Using digitized film mammograms, we estimated PMD using a computer-assisted thresholding technique. APD and V were determined using an automated computer algorithm. We used logistic regression to generate odds ratios (ORs) and 95% confidence intervals (CIs). Median time from mammogram to diagnosis was 4.1 years (interquartile range: 1.6-6.8 years). PMD (OR

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