Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients

Purpose: The construction and validation of a radiomics nomogram based on machine learning using magnetic resonance image (MRI) for predicting the efficacy of neoadjuvant chemotherapy (NACT) in patients with breast cancer (BCa). Methods: This retrospective investigation consisted of 158 patients who...

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Detalles Bibliográficos
Autores principales: Chen, Shujun, Shu, Zhenyu, Li, Yongfeng, Chen, Bo, Tang, Lirong, Mo, Wenju, Shao, Guoliang, Shao, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456979/
https://www.ncbi.nlm.nih.gov/pubmed/32923392
http://dx.doi.org/10.3389/fonc.2020.01410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456979/
https://www.ncbi.nlm.nih.gov/pubmed/32923392
http://dx.doi.org/10.3389/fonc.2020.01410

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