Measurement of breast artery calcification using an artificial intelligence detection model and its association with major adverse cardiovascular events.

ABSTRACT: Breast artery calcification (BAC) obtained from standard mammographic images is currently under evaluation to stratify risk of major adverse cardiovascular events in women. Measuring BAC using artificial intelligence (AI) technology, we aimed to determine the relationship between BAC and coronary artery calcification (CAC) severity with Major Adverse Cardiac Events (MACE). This retrospective study included women who underwent chest computed tomography (CT) within one year of mammography. T-test assessed the associations between MACE and variables of interest (BAC versus MACE, CAC versus MACE). Risk differences were calculated to capture the difference in observed risk and reference groups. Chi-square tests and/or Fisher's exact tests were performed to assess age and ASCVD risk with MACE an

SUBMITTER: Rose SJ 

PROVIDER: S-EPMC11665981 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature