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Research progress in predicting axillary lymph node metastasis of breast cancer by preoperative MRI
MA Qinqin  FENG Wen  CHEN Yuanyuan  WANG Sha  LEI Junqiang 

Cite this article as: Ma QQ, Feng W, Chen YY, et al. Research progress in predicting axillary lymph node metastasis of breast cancer by preoperative MRI[J]. Chin J Magn Reson Imaging, 2022, 13(9): 151-155. DOI:10.12015/issn.1674-8034.2022.09.036.

[Abstract] Axillary lymph node metastasis (ALNM) is one of the important factors affecting postoperative recurrence or distant metastasis of breast cancer, and has a profound impact on the choice of treatment options and long-term quality of life for patients. At present, many prediction studies for ALNM based on MRI methodology, radiomics, and genomics have been proposed, and their conclusions have clear scientific and clinical significance. This article reviews the research progress of preoperative multiparametric MRI, MRI-based radiomics and machine learning in predicting axillary lymph node (ALN) status in breast cancer.
[Keywords] breast cancer;axillary lymph node metastasis;magnetic resonance imaging;diffusion weight imaging;radiomics;predicting

MA Qinqin1   FENG Wen1   CHEN Yuanyuan1   WANG Sha1   LEI Junqiang2*  

1 The First Clinical Medical College, Lanzhou University, Lanzhou 730000, China

2 Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

*Lei JQ, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS Hospital Fund of the First Hospital of Lanzhou University (No. ldyyyn2021-76).
Received  2022-05-06
Accepted  2022-08-10
DOI: 10.12015/issn.1674-8034.2022.09.036
Cite this article as: Ma QQ, Feng W, Chen YY, et al. Research progress in predicting axillary lymph node metastasis of breast cancer by preoperative MRI[J]. Chin J Magn Reson Imaging, 2022, 13(9): 151-155. DOI:10.12015/issn.1674-8034.2022.09.036.

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