Workload reduction of digital breast tomosynthesis screening using artificial intelligence and synthetic mammography: a simulation study
In a DBT-based screening program, AI could be used to select high-risk cases where the reading of DBT is valuable, whereas SM is sufficient for low-risk cases. Substantially, more cancers could be detected compared with DM only, with only a limited increase in reading workload. Prospective studies are necessary.
Authors
- Magnus Dustler (ORCID: https://orcid.org/0000-0002-5699-9664)
- Sophia Zackrisson (ORCID: https://orcid.org/0000-0001-5678-3882)
- Victor Dahlblom (ORCID: https://orcid.org/0000-0002-4330-5387)
- Anders Tingberg (ORCID: https://orcid.org/0000-0003-3078-0725)
Institutions
- Lund University (SE)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-04-30
- DOI
- https://doi.org/10.1117/1.jmi.12.s2.s22005
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Cancerfonden
- Vetenskapsrådet
- Allmänna Sjukhusets i Malmö Stiftelse för Bekämpande av Cancer
- Region Skåne
- Skånes universitetssjukhus