Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence.

ABSTRACT:

Objectives

Digital breast tomosynthesis (DBT) can detect more cancers than the current standard breast screening method, digital mammography (DM); however, it can substantially increase the reading workload and thus hinder implementation in screening. Artificial intelligence (AI) might be a solution. The aim of this study was to retrospectively test different ways of using AI in a screening workflow.

Methods

An AI system was used to analyse 14,772 double-read single-view DBT examinations from a screening trial with paired DM double reading. Three scenarios were studied: if AI can identify normal cases that can be excluded from human reading; if AI can replace the second reader; if AI can replace both readers. The number of detected cancers and false positives was compared wi

SUBMITTER: Dahlblom V 

PROVIDER: S-EPMC10121528 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature