Open AccessImpact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study
Author(s) -
Suzanne L. van Winkel,
Alejandro RodríguezRuiz,
Linda Appelman,
Albert Gubern-Mérida,
Nico Karssemeijer,
Jonas Teuwen,
Alexander J. T. Wanders,
Ioannis Sechopoulos,
Ritse M. Mann
Publication year - 2021
Publication title -
european radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.606
H-Index - 149
eISSN - 1432-1084
pISSN - 0938-7994
DOI - 10.1007/s00330-021-07992-w
Subject(s) - medicine , breast cancer , reading (process) , neuroradiology , interventional radiology , mammography , radiology , tomosynthesis , digital breast tomosynthesis , ultrasound , receiver operating characteristic , breast imaging , medical physics , nuclear medicine , cancer , neurology , psychiatry , political science , law
Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is increasingly implemented in breast cancer screening. However, the large volume of images increases the risk of reading errors and reading time. This study aims to investigate whether the accuracy of breast radiologists reading wide-angle DBT increases with the aid of an artificial intelligence (AI) support system. Also, the impact on reading time was assessed and the stand-alone performance of the AI system in the detection of malignancies was compared to the average radiologist.