Machine learning for predicting breast-conserving surgery candidates after neoadjuvant chemotherapy based on DCE-MRI

PURPOSE: This study aimed to investigate a machine learning method for predicting breast-conserving surgery (BCS) candidates, from patients who received neoadjuvant chemotherapy (NAC) by using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) obtained before and after NAC. MATERIALS AND...

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Detalles Bibliográficos
Autores principales: Chen, Zhigeng, Huang, Manxia, Lyu, Jianbo, Qi, Xin, He, Fengtai, Li, Xiang
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/PMC10446166/
https://www.ncbi.nlm.nih.gov/pubmed/37621690
http://dx.doi.org/10.3389/fonc.2023.1174843

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446166/
https://www.ncbi.nlm.nih.gov/pubmed/37621690
http://dx.doi.org/10.3389/fonc.2023.1174843

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