Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study

BACKGROUND: Accurate identification of pCR to neoadjuvant chemotherapy (NAC) is essential for determining appropriate surgery strategy and guiding resection extent in breast cancer. However, a non-invasive tool to predict pCR accurately is lacking. Our study aims to develop ensemble learning models...

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Detalles Bibliográficos
Autores principales: Huang, YuHong, Zhu, Teng, Zhang, XiaoLing, Li, Wei, Zheng, XingXing, Cheng, MinYi, Ji, Fei, Zhang, LiuLu, Yang, CiQiu, Wu, ZhiYong, Ye, GuoLin, Lin, Ying, Wang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050775/
https://www.ncbi.nlm.nih.gov/pubmed/37007742
http://dx.doi.org/10.1016/j.eclinm.2023.101899

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050775/
https://www.ncbi.nlm.nih.gov/pubmed/37007742
http://dx.doi.org/10.1016/j.eclinm.2023.101899

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