Causal relationships between breast cancer risk factors based on mammographic features.

ABSTRACT:

Background

Mammogram risk scores based on texture and density defined by different brightness thresholds are associated with breast cancer risk differently and could reveal distinct information about breast cancer risk. We aimed to investigate causal relationships between these intercorrelated mammogram risk scores to determine their relevance to breast cancer aetiology.

Methods

We used digitised mammograms for 371 monozygotic twin pairs, aged 40-70 years without a prior diagnosis of breast cancer at the time of mammography, from the Australian Mammographic Density Twins and Sisters Study. We generated normalised, age-adjusted, and standardised risk scores based on textures using the Cirrus algorithm and on three spatially independent dense areas defined by increasing bright

SUBMITTER: Ye Z 

PROVIDER: S-EPMC10598934 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature