Editorial for "Quantitative Apparent Diffusion Coefficients from Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer"
- PMID: 35506513
- DOI: 10.1002/jmri.28217
Editorial for "Quantitative Apparent Diffusion Coefficients from Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer"
Comment on
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Quantitative Apparent Diffusion Coefficients From Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer.J Magn Reson Imaging. 2022 Dec;56(6):1901-1909. doi: 10.1002/jmri.28219. Epub 2022 May 2. J Magn Reson Imaging. 2022. PMID: 35499264 Free PMC article.
References
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- Oakman C, Viale G, Di Leo A. Management of triple negative breast cancer. Breast 2010;19(5):312-321.
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- Quantitative apparent diffusion coefficients from peritumoral regions as early predictors of response to neoadjuvant systemic therapy in triple-negative breast cancer.
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- Partridge SC, Steingrimsson J, Newitt DC, et al. Impact of alternate b-value combinations and metrics on the predictive performance and repeatability of diffusion-weighted MRI in breast cancer treatment: Results from the ECOG-ACRIN A6698 Trial. Tomography 2022;8(2):701-717. https://doi.org/10.3390/tomography8020058.
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- Antun V, Renna F, Poon C, Adcock B, Hansen AC. On instabilities of deep learning in image reconstruction and the potential costs of AI. Proc Natl Acad Sci U S A 2020;117(48):30088-30095.
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- Malayeri A, Khouli RHE, Zaheer A, et al. Principles and applications of diffusion-weighted imaging in cancer detection, staging, and treatment follow-up. Radiographics 2011;31:1773-1791.
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