Deep learning radiomic analysis of DCE-MRI combined with clinical characteristics predicts pathological complete response to neoadjuvant chemotherapy in breast cancer

OBJECTIVE: The aim of this study was to develop and validate a deep learning-based radiomic (DLR) model combined with clinical characteristics for predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer. For early prediction of pCR, the DLR model was based...

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Detalles Bibliográficos
Autores principales: Li, Yuting, Fan, Yaheng, Xu, Dinghua, Li, Yan, Zhong, Zhangnan, Pan, Haoyu, Huang, Bingsheng, Xie, Xiaotong, Yang, Yang, Liu, Bihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850142/
https://www.ncbi.nlm.nih.gov/pubmed/36686755
http://dx.doi.org/10.3389/fonc.2022.1041142

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850142/
https://www.ncbi.nlm.nih.gov/pubmed/36686755
http://dx.doi.org/10.3389/fonc.2022.1041142

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