Galip Can Uyar, Medical Doctor at Etlik City Hospital, shared a post on X about a paper by Lorenzo Ficorella et al. published in JCO Precision Oncology:
“Ficorella et al. (2025) extended the BOADICEA breast cancer risk model by integrating continuous mammographic density (MD) measures (Volpara, STRATUS).
Key Findings
- Cohort: 60,276 women (KARMA study).
- Continuous MD outperformed categorical BI-RADS.
- AUC improved by 1–4% in 5-year risk prediction.
- ~29% of women were reclassified into different risk categories.
Clinical Relevance
BOADICEA v7.2 facilitates the use of automated MD tools, enhancing risk stratification and supporting personalized screening/prevention strategies.”
Title: Incorporating Continuous Mammographic Density Into the BOADICEA Breast Cancer Risk Prediction Model
Authors: Lorenzo Ficorella, Mikael Eriksson, Kamila Czene, Goska Leslie, Xin Yang, Tim Carver, Adam E. Stokes, Douglas F. Easton, Per Hall, and Antonis C. Antoniou
You can read the Full Article in JCO Precision Oncology.
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