Particle.news

Download on the App Store

Radiomics Identifies Six Breast Texture Patterns Linked to Cancer Risk

Researchers validate new imaging biomarkers that predict invasive breast cancer risk, with stronger associations in Black women, paving the way for personalized screening strategies.

Image

Overview

  • A study published in Radiology identifies six breast parenchymal texture phenotypes associated with increased invasive breast cancer risk.
  • Researchers analyzed mammograms from over 30,000 women, extracting 390 imaging features condensed into six distinct phenotypes.
  • The phenotypes were validated in an independent cohort of more than 3,500 women, showing stronger risk associations in Black women compared to white women.
  • These imaging biomarkers could predict false-negative mammograms and interval cancers, offering insights for tailored screening protocols.
  • Future research will expand to larger U.S. populations, 3D mammography, and integration with genetic and lifestyle factors to refine risk assessment.