A comprehensive tool for measuring mammographic density changes over time.

ABSTRACT: BACKGROUND:Mammographic density is a marker of breast cancer risk and diagnostics accuracy. Density change over time is a strong proxy for response to endocrine treatment and potentially a stronger predictor of breast cancer incidence. We developed STRATUS to analyse digital and analogue images and enable automated measurements of density changes over time. METHOD:Raw and processed images from the same mammogram were randomly sampled from 41,353 healthy women. Measurements from raw images (using FDA approved software iCAD) were used as templates for STRATUS to measure density on processed images through machine learning. A similar two-step design was used to train density measures in analogue images. Relative risks of breast cancer were estimated in three unique datasets. An alignment prot

SUBMITTER: Eriksson M 

PROVIDER: S-EPMC5945741 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature