Open AccessComputer-Aided Diagnosis in Multiparametric Magnetic Resonance Imaging Screening of Women With Extremely Dense Breasts to Reduce False-Positive Diagnoses
Author(s) -
Erik Verburg,
Carla H. van Gils,
Marije F. Bakker,
Max A. Viergever,
Ruud M. Pijnappel,
Wouter B. Veldhuis,
Kenneth G. A. Gilhuijs
Publication year - 2020
Publication title -
investigative radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 114
eISSN - 1536-0210
pISSN - 0020-9996
DOI - 10.1097/rli.0000000000000656
Subject(s) - medicine , magnetic resonance imaging , medical diagnosis , mammography , asymptomatic , radiology , breast mri , breast imaging , nuclear medicine , breast cancer , pathology , cancer
To reduce the number of false-positive diagnoses in the screening of women with extremely dense breasts using magnetic resonance imaging (MRI), we aimed to predict which BI-RADS 3 and BI-RADS 4 lesions are benign. For this purpose, we use computer-aided diagnosis (CAD) based on multiparametric assessment.