Single-view DBT and AI setup allows for effective screening mammography

A study published in Radiology determined that a single digital breast tomosynthesis (DBT) image in combination with artificial intelligence (AI) improves radiologists' productivity.

A retrospective study of 190 women with bilateral mediolateral oblique breast images that were acquired with a wide-angle DBT system was obtained.  The examination -based reader- average AUC was higher when interpreting results with AI support than when reading unaided.  The average sensitivity increased with AI support, whereas no differences in the specificity and reading time were detected.

The authors concluded that using a single-view DBT in conjunction with an AI setup could allow for more effective screening, especially in cancers detected, than using DBT alone.  

AI-Can Reduce Workload in Breast Cancer Screening

A study published in Radiology determined that an artificial intelligence (AI) algorithm could reduce the digital breast tomosynthesis (DBT) and mammography (DM) workload of radiologists without impacting diagnostic accuracy.

A total of 15,987 DM and DBT examinations (which included 98 screening-detected and 15 interval cancers from the 15,987 women were evaluated.  In comparison with the double reading of the DBT images, AI with DBT would result in 72.5% less workload, noninferior sensitivity, and a 16.7% lower recall rate.  Similar results were obtained for AI and DM. 

AI could obviate over 70% of radiologists' double reading thus enable DBT adoption in breast cancer screening programs.