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Developing and validating an individualized breast cancer risk prediction model for women attending breast cancer screening.

Javier LouroMarta RománMargarita PossoIvonne VázquezFrancina SaladiéAna Rodriguez-AranaM Jesús QuintanaLaia DomingoMarisa BaréRafael Marcos-GrageraMaría Vernet-TomasMaria SalaXavier Castellsnull null
Published in: PloS one (2021)
We developed a risk prediction model to estimate the short- and long-term risk of breast cancer in women eligible for mammography screening using information routinely reported at screening participation. The model could help to guiding individualized screening strategies aimed at improving the risk-benefit balance of mammography screening programs.
Keyphrases
  • breast cancer risk
  • public health
  • healthcare
  • type diabetes
  • computed tomography
  • magnetic resonance
  • adipose tissue
  • pregnancy outcomes
  • skeletal muscle
  • pregnant women
  • young adults
  • image quality
  • social media