Radiol Artif Intell 2021 Nov 1;3(6):e200299. Epub 2021 Sep 1.
Diagnostic Radiology (V.D., I.A., K.L., S.Z., M.D.) and Medical Radiation Physics (A.T., M.D.), Department of Translational Medicine, Lund University, Malmö, Sweden; and Department of Medical Imaging and Physiology (V.D., S.Z.), Unilabs Breast Centre (I.A., K.L.), and Department of Radiation Physics (A.T.), Skåne University Hospital, Carl Bertil Laurells gata 9, 205 02 Malmö, Sweden.
Purpose: To investigate how an artificial intelligence (AI) system performs at digital mammography (DM) from a screening population with ground truth defined by digital breast tomosynthesis (DBT), and whether AI could detect breast cancers at DM that had originally only been detected at DBT.
Materials And Methods: In this secondary analysis of data from a prospective study, DM examinations from 14 768 women (mean age, 57 years), examined with both DM and DBT with independent double reading in the Malmӧ Breast Tomosynthesis Screening Trial (MBTST) (ClinicalTrials.gov: NCT01091545; data collection, 2010-2015), were analyzed with an AI system. Read More