Overview
The use of artificial intelligence software in breast screening (Transpara®) makes it possible to identify studies with a very low probability of cancer.
The hypothesis raised in this work is that reading strategies based on artificial intelligence (single or double reading only of cases with a score> 7 with Transpara®), allow reducing the workload of a screening program by more than 50 % with respect to the standard reading of the program (double reading of all cases without Transpara®), without presenting inferiority in terms of detection rates and recalls of the program, both with the use of 2D digital mammography and with the use of tomosynthesis or 3D mammogram.
Eligibility
Inclusion Criteria:
- Any woman between the ages of 50 and 69, from the hospital area of the Reina Sofía University Hospital, invited to the Breast Cancer Early Detection Program, summoned in rooms 2024 and 2001 and who agrees to participate in the study by signing the consent informed.
- Women studied in the program in the set period and who have previously participated.
- Women who are studied in the program for the first time in the set period.
Exclusion Criteria:
- Women invited to the program who do not agree to enter the research study by signing the informed consent.
- Women with breast prostheses.
- Women with symptoms or signs of suspected breast cancer.