Paper
22 May 2020 Personalised breast cancer screening with selective addition of digital breast tomosynthesis through artificial intelligence
Victor Dahlblom, Anders Tingberg, Sophia Zackrisson, Magnus Dustler
Author Affiliations +
Proceedings Volume 11513, 15th International Workshop on Breast Imaging (IWBI2020); 115130C (2020) https://doi.org/10.1117/12.2564344
Event: Fifteenth International Workshop on Breast Imaging, 2020, Leuven, Belgium
Abstract
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.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Victor Dahlblom, Anders Tingberg, Sophia Zackrisson, and Magnus Dustler "Personalised breast cancer screening with selective addition of digital breast tomosynthesis through artificial intelligence", Proc. SPIE 11513, 15th International Workshop on Breast Imaging (IWBI2020), 115130C (22 May 2020); https://doi.org/10.1117/12.2564344
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KEYWORDS
Digital breast tomosynthesis

Cancer

Artificial intelligence

Breast cancer

Breast

Software development

Mammography

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