Risk Models to Predict Screen-Detected and Interval Breast Cancers in Population Mammography Screening Participants
Older age and symptoms were the strongest predictors of overall and advanced screen-detected breast cancers. Dense breasts and symptoms were the strongest predictors of interval cancers. All models had moderate discrimination, approximating that for established models.
Authors
- Nehmat Houssami (ORCID: https://orcid.org/0000-0002-3641-952X)
- M. Luke Marinovich (ORCID: https://orcid.org/0000-0002-3801-8180)
- Naomi Noguchi (ORCID: https://orcid.org/0000-0001-5662-1496)
- Elizabeth Wylie (ORCID: https://orcid.org/0000-0002-1148-7796)
- D. Louw
- Armando Teixeira-Pinto
Institutions
- The University of Sydney (AU)
- BreastScreen WA (AU)
- Cancer Council NSW (AU)
Publication Details
- Journal
- Cancers
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3390/cancers17050810
- Citations
- 2
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- National Breast Cancer Foundation
- National Health and Medical Research Council