Magnus Dustler
Researcher
Personalised breast cancer screening with selective addition of digital breast tomosynthesis through artificial intelligence
Author
Editor
- Hilde Bosmans
- Nicholas Marshall
- Chantal Van Ongeval
Summary, in English
Breast cancer screening is predominantly performed using digital mammography (DM), but higher sensitivity has been demonstrated with digital breast tomosynthesis (DBT). A partial DBT screening in selected groups with a clear benefit from DBT might be more feasible than a full implementation, and using artificial intelligence (AI) to select women for DBT might be a possibility. This study used data from Malmö Breast Tomosynthesis Screening Trial, where all women prospectively were examined with separately read DM and DBT. We retrospectively analysed DM examinations (n=14768) with a breast cancer detection software and used the provided risk score (1-10) for risk stratification. We tested how different score thresholds for adding DBT to an initial DM affects the number of detected cancers, additional DBT examinations needed, detection rate, and false positives. If using a threshold of 9.0, 25 (26 %) more cancers would be detected compared to using DM alone. Of the 41 cancers only detected on DBT, 61 % would be detected, with only 1797 (12 %) of the women examined with both DM and DBT. The detection rate for the added DBT would be 14/1000 women, while the false positive recalls would be increased with 58 (21 %). Using DBT only for selected high gain cases could be an alternative to a complete DBT screening. AI could be used for analysing DM to identify high gain cases, where DBT can be added during the same visit. There might be logistical challenges and further studies in a prospective setting are necessary.
Department/s
- LUCC: Lund University Cancer Centre
- Radiology Diagnostics, Malmö
- Medical Radiation Physics, Malmö
- EpiHealth: Epidemiology for Health
Publishing year
2020
Language
English
Publication/Series
Proceedings of SPIE - The International Society for Optical Engineering
Volume
11513
Document type
Conference paper
Publisher
SPIE
Topic
- Cancer and Oncology
Keywords
- Artificial intelligence
- Breast cancer screening
- Digital breast tomosynthesis
- Personalised screening
Conference name
15th International Workshop on Breast Imaging, IWBI 2020
Conference date
2020-05-25 - 2020-05-27
Conference place
Leuven, Belgium
Status
Published
Project
- Can breast cancer screening be improved with artificial intelligence?
Research group
- Radiology Diagnostics, Malmö
- Medical Radiation Physics, Malmö
ISBN/ISSN/Other
- ISSN: 0277-786X
- ISSN: 1996-756X
- ISBN: 9781510638310