Incorporating Continuous Mammographic Density Into the BOADICEA Breast Cancer Risk Prediction Model
Incorporating continuous MD measurements into BOADICEA enhances BC risk stratification and facilitates the use of automated MD measures for risk prediction.
Authors
- Tim Carver (ORCID: https://orcid.org/0000-0003-1508-3091)
- Goska Leslie (ORCID: https://orcid.org/0000-0001-5756-6222)
- Lorenzo Ficorella (ORCID: https://orcid.org/0000-0002-0577-1571)
- Mikael Eriksson (ORCID: https://orcid.org/0000-0001-8135-4270)
- Antonis C. Antoniou (ORCID: https://orcid.org/0000-0001-9223-3116)
- Douglas F. Easton (ORCID: https://orcid.org/0000-0003-2444-3247)
- Per Hall (ORCID: https://orcid.org/0000-0002-5640-9126)
- Xin Yang
- Kamila Czene
- Adam E. Stokes (ORCID: https://orcid.org/0009-0006-7310-0338)
Institutions
- University of Cambridge (GB)
- Karolinska Institutet (SE)
- Cancer Research UK Cambridge Center (GB)
- Stockholm South General Hospital (SE)
Publication Details
- Journal
- JCO Precision Oncology
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1200/po-25-00203
- Citations
- 1
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.52