Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Feb 15, 2022

Abstract

BACKGROUND: Background parenchymal enhancement (BPE) is assessed on breast MRI reports as mandated by the Breast Imaging Reporting and Data System (BI-RADS) but is prone to inter and intrareader variation. Semiautomated and fully automated BPE assessment tools have been developed but none has surpassed radiologist BPE designations.

Authors

  • Sarah Eskreis-Winkler
    Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, 300 E 66th Street, New York, NY, 10065, USA.
  • Elizabeth J Sutton
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. suttone@mskcc.org.
  • Donna D'Alessio
    Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Katherine Gallagher
    Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Nicole Saphier
    Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Joseph Stember
    Department of Radiology, Neuroradiology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Danny F Martinez
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Elizabeth A Morris
    Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY.
  • Katja Pinker
    Department of Radiology, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York, USA.

Keywords

External Resources

Popular Topics
Recent Journals