Validation of the Mirai model for predicting breast cancer risk in Mexican women.

ABSTRACT:

Objectives

To validate the performance of Mirai, a mammography-based deep learning model, in predicting breast cancer risk over a 1-5-year period in Mexican women.

Methods

This retrospective single-center study included mammograms in Mexican women who underwent screening mammography between January 2014 and December 2016. For women with consecutive mammograms during the study period, only the initial mammogram was included. Pathology and imaging follow-up served as the reference standard. Model performance in the entire dataset was evaluated, including the concordance index (C-Index) and area under the receiver operating characteristic curve (AUC). Mirai's performance in terms of AUC was also evaluated between mammography systems (Hologic versus IMS). Clinical utility was ev

SUBMITTER: Avendano D 

PROVIDER: S-EPMC11466924 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature