More than density: validating a mammographic masking prediction model in Dutch breast cancer screening
Question Mammographic lesion masking prediction models, such as Mammatus, require external validation in other screening programs before clinical application is possible. Findings Mammatus maintained similar performance in predicting lesion masking in a Dutch screening cohort and showed added benefit compared to VBD. Clinical relevance An externally validated lesion masking prediction model for digital mammography could potentially be used to identify screened women who could benefit from supplemental or alternative screening, with better accuracy than VBD alone.
Authors
- Jim Peters (ORCID: https://orcid.org/0000-0002-6115-9678)
- James G. Mainprize (ORCID: https://orcid.org/0000-0001-5479-1280)
- Sarah D. Verboom (ORCID: https://orcid.org/0009-0004-9757-9422)
- Mireille J. M. Broeders (ORCID: https://orcid.org/0000-0002-8741-8148)
- Martin J. Yaffe (ORCID: https://orcid.org/0000-0002-7227-9915)
- Ioannis Sechopoulos (ORCID: https://orcid.org/0000-0001-9615-8205)
Institutions
- Ontario Institute for Cancer Research (CA)
- Sunnybrook Health Science Centre (CA)
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Radboud Institute for Molecular Life Sciences (NL)
- Dutch Expert Centre for Screening (NL)
- Sunnybrook Research Institute
- University of Twente (NL)
Publication Details
- Journal
- European Radiology
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1007/s00330-025-11687-x
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Government of Ontario
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek