Evaluation of the Potential Impact of an Artificial Intelligence Solution in Second Reading of Organized Screening.

Evaluation of the Potential Impact of an Artificial Intelligence Solution in Second Reading of Organized Screening.

Based on data from a series of patients who underwent screening mammography with a "normal" or "benign" first-reading result. The main objective of the study is to evaluate the possibilities of subtracting from the second reading of breast cancer screening a population of examinations for which the risk of discovering cancer is close to zero, using an AI system (here the MammoScreen™ system).

This is a retrospective multicenter study of mammography imaging data contained in the PACS (Picture Archiving and Communication System) of six radiology centers located in the Rhône, Puy de dôme, Cantal and Haute-Loire départements.

In order to be able to collect two-year follow-up data, the files analyzed will concern all women who received a screening mammogram during the years 2015, 2016, 2017, 2018 and 2019. More recent mammograms will be excluded.

Inclusion Criteria:

• Women aged 50 to 74 participating in the organized screening campaign.
• Having had a screening mammogram with a final L1 result of "normal" (ACR 1/ BI-RADS 1) or "benign" (ACR 2/ BI-RADS 2).
• For which a second reading interpretation is available
• Screening mammograms performed during the years 2015 to2019 (In order to have follow-up data (subsequent mammogram or information on the person's future)

Exclusion Criteria:

- Mammography not performed as part of organized screening