Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2022 Oct;56(4):1077-1078.
doi: 10.1002/jmri.28183. Epub 2022 Mar 28.

Editorial for "Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist"

Affiliations
Editorial

Editorial for "Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist"

Endre Grøvik et al. J Magn Reson Imaging. 2022 Oct.
No abstract available

PubMed Disclaimer

Comment on

References

    1. Eskreis-Winkler S, Sutton EJ, D'Alessio D, et al. Breast MRI background parenchymal enhancement categorization using deep learning: Outperforming the radiologist. J Magn Reson Imaging 2022;56(4):1068-1076.
    1. Liao GJ, Henze Bancroft LC, Strigel RM, et al. Background parenchymal enhancement on breast MRI: A comprehensive review. J Magn Reson Imaging 2020;51:43-61.
    1. Preibsch H, Wanner L, Bahrs SD, et al. Background parenchymal enhancement in breast MRI before and after neoadjuvant chemotherapy: Correlation with tumour response. Eur Radiol 2016;26:1590-1596.
    1. Chen JH, Yu HJ, Hsu C, Mehta RS, Carpenter PM, Su MY. Background parenchymal enhancement of the contralateral Normal breast: Association with tumor response in breast cancer patients receiving Neoadjuvant chemotherapy. Transl Oncol 2015;8:204-209.
    1. Scaranelo AM, Carrillo MC, Fleming R, Jacks LM, Kulkarni SR, Crystal P. Pilot study of quantitative analysis of background enhancement on breast MR images: Association with menstrual cycle and mammographic breast density. Radiology 2013;267:692-700.

LinkOut - more resources