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Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds.

Tuong L NguyenYe K AungShuai LiNhut Ho TrinhChristopher F EvansLaura BagliettoKavitha KrishnanGillian S DiteJennifer StoneDallas R EnglishYun-Mi SongJoohon SungMark A JenkinsMelissa C SoutheyGraham G GilesJohn L Hopper
Published in: Breast cancer research : BCR (2018)
The amount of brighter areas is the best mammogram-based measure of screen-detected breast cancer risk, while the percentage of the breast covered by white or bright areas is the best mammogram-based measure of interval breast cancer risk, irrespective of BMI. Therefore, there are different features of mammographic images that give clinically important information about different outcomes.
Keyphrases
  • breast cancer risk
  • high throughput
  • deep learning
  • body mass index
  • optical coherence tomography
  • health information
  • type diabetes
  • physical activity
  • young adults
  • single cell
  • skeletal muscle
  • insulin resistance