Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study

Background: in current clinical practice, the standard evaluation for axillary lymph node (ALN) status in breast cancer has a low efficiency and is based on an invasive procedure that causes operative-associated complications in many patients. Therefore, we aimed to use machine learning techniques t...

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Detalles Bibliográficos
Autores principales: Yu, Yunfang, He, Zifan, Ouyang, Jie, Tan, Yujie, Chen, Yongjian, Gu, Yang, Mao, Luhui, Ren, Wei, Wang, Jue, Lin, Lili, Wu, Zhuo, Liu, Jingwen, Ou, Qiyun, Hu, Qiugen, Li, Anlin, Chen, Kai, Li, Chenchen, Lu, Nian, Li, Xiaohong, Su, Fengxi, Liu, Qiang, Xie, Chuanmiao, Yao, Herui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261009/
https://www.ncbi.nlm.nih.gov/pubmed/34233259
http://dx.doi.org/10.1016/j.ebiom.2021.103460

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261009/
https://www.ncbi.nlm.nih.gov/pubmed/34233259
http://dx.doi.org/10.1016/j.ebiom.2021.103460

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