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Research progress of radiomics based on MRI for prediction of axillary lymph node metastasis in breast cancer
YU Haitong  LI Qin  WU Shasha  LI Fangzheng  CHEN Yongsheng  NIU Qingliang 

Cite this article as: YU H T, LI Q, WU S S, et al. Research progress of radiomics based on MRI for prediction of axillary lymph node metastasis in breast cancer[J]. Chin J Magn Reson Imaging, 2023, 14(7): 176-180. DOI:10.12015/issn.1674-8034.2023.07.032.


[Abstract] Axillary lymph node status is very important for the treatment of patients with early breast cancer. Therefore, accurate judgment and identification of axillary lymph node status can avoid unnecessary axillary lymph node dissection and its complications. In view of the limited ability of traditional imaging examination to assess axillary lymph node metastasis, radiomics, as a new research field of quantitative analysis of imaging features, can extract high-throughput quantitative features from standard medical images. At present, many studies have established radiomics models by analyzing MRI routine sequences, functional sequences, combined with clinical information, to predict lymph node metastasis of breast cancer noninvasively before surgery. We reviewed the recent progress of radiomics based on MRI in the study of axillary lymph node metastasis in breast cancer in this paper, in order to accurately and efficiently identify the status of lymph nodes before surgery, so as to guide clinical development of more accurate and personalized treatment strategies.
[Keywords] breast cancer；axillary lymph node；magnetic resonance imaging；radiomics；predicting

YU Haitong1   LI Qin2   WU Shasha2   LI Fangzheng1   CHEN Yongsheng2   NIU Qingliang2*  

1 School of Medical Imaging, Weifang Medical College, Weifang 261053, China

2 Center of Medical Imaging, Weifang Traditional Chinese Medicine Hospital, Weifang 261041, China

Corresponding author: Niu QL, E-mail: qingliangniu@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Shandong Province Natural Science Foundation (No. ZR202103060229).
Received  2022-08-23
Accepted  2023-06-25
DOI: 10.12015/issn.1674-8034.2023.07.032
Cite this article as: YU H T, LI Q, WU S S, et al. Research progress of radiomics based on MRI for prediction of axillary lymph node metastasis in breast cancer[J]. Chin J Magn Reson Imaging, 2023, 14(7): 176-180. DOI:10.12015/issn.1674-8034.2023.07.032.

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