Editorial for "Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist"
- PMID: 35343010
- DOI: 10.1002/jmri.28183
Editorial for "Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist"
Comment on
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Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist.J Magn Reson Imaging. 2022 Oct;56(4):1068-1076. doi: 10.1002/jmri.28111. Epub 2022 Feb 15. J Magn Reson Imaging. 2022. PMID: 35167152 Free PMC article.
References
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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