术前MRI预测乳腺癌腋窝淋巴结转移的研究进展

Research progress in predicting axillary lymph node metastasis of breast cancer by preoperativeMRI

腋窝淋巴结转移(axillary lymph node metastasis,ALNM)是影响乳腺癌术后复发或远处转移的重要因素之一,对患者治疗方案的选择和远期生存质量影响深远。目前已经提出了较多基于MRI方法学、影像组学和基因组学等用于ALNM的预测研究,其结论具有明确的科研与临床意义。本文就术前多参数MRI、基于MRI的影像组学以及机器学习预测乳腺癌腋窝淋巴结(axillary lymph node,ALN)状态的研究进展予以综述。

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.