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Editorial
. 2022 Sep;56(3):710-711.
doi: 10.1002/jmri.28141. Epub 2022 Mar 10.

Editorial for "Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI"

Folk W Narongrit  1 , Joseph V Rispoli  1   2   3
Affiliations
Editorial

Editorial for "Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI"

Folk W Narongrit et al. J Magn Reson Imaging. 2022 Sep.
No abstract available

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References

    1. Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021;71:209-249.
    1. Fisher B, Bauer M, Wickerham DL, et al. Relation of number of positive axillary nodes to the prognosis of patients with primary breast cancer: An NSABP update. Cancer 1983;52:1551-1557.
    1. Ren T, Lin S, Huang P, Duong TQ. Convolutional neural network of multiparametric MRI accurately detects axillary lymph node metastasis in breast cancer patients with pre neoadjuvant chemotherapy. Clin Breast Cancer 2022;22:170-177.
    1. Wu J-L, Tseng H-S, Yang L-H, et al. Prediction of axillary lymph node metastases in breast cancer patients based on pathologic information of the primary tumor. Med Sci Monit 2014;20:577-581.
    1. Tan H, Gan F, Wu Y, et al. Preoperative prediction of axillary lymph node metastasis in breast carcinoma using radiomics features based on the fat-suppressed T2 sequence. Acad Radiol 2020;27:1217-1225.

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