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Radiomic and deep learning characterization of breast parenchyma on full field digital mammograms and specimen radiographs: a pilot study of a potential cancer field effect.

Natalie BaughanHui LiLi LanMatthew EmburyIsaiah YimGary J WhitmanRanda El-ZeinIsabelle BedrosianMaryellen L Giger
Published in: Journal of medical imaging (Bellingham, Wash.) (2023)
Results support our hypothesis of a potential cancer field effect, accessible radiographically, across tumor and non-tumor regions, thus indicating the potential for computerized analysis of mammographic parenchymal patterns to predict breast cancer risk.
Keyphrases
  • papillary thyroid
  • breast cancer risk
  • deep learning
  • squamous cell
  • human health
  • squamous cell carcinoma
  • electronic health record