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A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk

Adam R Brentnall1, Wendy F Cohn2, William A Knaus3

  • 1Queen Mary University of London, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, London, UK.

Journal of Breast Imaging
|August 20, 2019
PubMed
Summary

Accurate breast cancer risk assessment is improved by combining mammographic density measures with the Tyrer-Cuzick model. This enhances risk stratification for personalized screening and prevention strategies.

Keywords:
breast cancer risk modelsbreast densitybreast neoplasmsearly detection of cancerrisk factors

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Area of Science:

  • Radiology
  • Oncology
  • Medical Informatics

Background:

  • Accurate breast cancer risk assessment is crucial for guiding screening and preventive interventions in women.
  • Current risk models can be enhanced by incorporating mammographic density measures.

Purpose of the Study:

  • To evaluate the accuracy of breast cancer risk predictions.
  • To assess the combined accuracy of visual and volumetric mammographic density with the Tyrer-Cuzick risk model.

Main Methods:

  • A case-control study involving 474 patients and 2243 controls aged 40-79 years.
  • Breast density measured using automated volumetric software and BI-RADS categories.
  • Logistic regression used to estimate odds ratios, adjusted for classical risk factors and the Tyrer-Cuzick model.

Main Results:

  • BI-RADS density (IQ-OR = 1.55) and volumetric percent density (IQ-OR = 1.40) improved risk prediction compared to classical factors alone.
  • Fibroglandular volume was a weaker predictor than BI-RADS or volumetric percent density.
  • High-risk identification increased from 4.8% to 7.1% (BI-RADS) or 6.8% (volumetric) when density was included.

Conclusions:

  • Adding mammographic density measures to classical risk factors significantly improves breast cancer risk stratification.
  • Combined risk assessment can guide precision medicine through risk-adapted screening and prevention strategies.