Assessing change in mammographic density within individuals across screening rounds using an artificial intelligence software
In potential individualized breast density-based breast cancer screening programs, risk-based models and when generating realistic digital breast phantoms, it is important to understand the normal changes in breast density. Breast density in 26 182 women in two consecutive screening rounds was retrospectively assessed with a commercial AI software. A small but significant decrease in breast density between two screening rounds was seen. The decline in breast density was more pronounced among women with denser breasts.
Authors
- Jakob Olinder (ORCID: https://orcid.org/0000-0002-5798-881X)
- Kristin Johnson (ORCID: https://orcid.org/0000-0002-5099-423X)
- Daniel Förnvik (ORCID: https://orcid.org/0000-0001-5083-7624)
- Sophia Zackrisson (ORCID: https://orcid.org/0000-0001-5678-3882)
Institutions
- Lund University (SE)
- Skåne University Hospital (SE)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1117/12.3046990
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48