Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications.

ABSTRACT:

Background

Our aim was to demonstrate that automated detection and classification of breast microcalcifications, according to Breast Imaging Reporting and Data System (BI-RADS) categorisation, can be improved with the subtraction of sequential mammograms as opposed to using the most recent image only.

Methods

One hundred pairs of mammograms were retrospectively collected from two temporally sequential rounds. Fifty percent of the images included no (BI-RADS 1) or benign (BI-RADS 2) microcalcifications. The remaining exhibited suspicious findings (BI-RADS 4-5) in the recent image. Mammograms cannot be directly subtracted, due to tissue changes over time and breast deformation during mammography. To overcome this challenge, optimised preprocessing, image registration, and post

SUBMITTER: Loizidou K 

PROVIDER: S-EPMC8440760 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature