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Sophia Zackrisson, MD, PhD. Photo.

Sophia Zackrisson

Manager

Sophia Zackrisson, MD, PhD. Photo.

Personalised breast cancer screening with selective addition of digital breast tomosynthesis through artificial intelligence

Author

  • Victor Dahlblom
  • Anders Tingberg
  • Sophia Zackrisson
  • Magnus Dustler

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: 1996-756X
  • ISSN: 0277-786X
  • ISBN: 9781510638310