Value of Machine Learning with Multiphases CE-MRI Radiomics for Early Prediction of Pathological Complete Response to Neoadjuvant Therapy in HER2-Positive Invasive Breast Cancer

BACKGROUND: To assess the value of radiomics based on multiphases contrast-enhanced magnetic resonance imaging (CE-MRI) for early prediction of pathological complete response (pCR) to neoadjuvant therapy (NAT) in patients with human epithelial growth factor receptor 2 (HER2) positive invasive breast...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Qin, Xiao, Qin, Li, Jianwei, Wang, Zhe, Wang, He, Gu, Yajia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253937/
https://www.ncbi.nlm.nih.gov/pubmed/34234550
http://dx.doi.org/10.2147/CMAR.S304547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253937/
https://www.ncbi.nlm.nih.gov/pubmed/34234550
http://dx.doi.org/10.2147/CMAR.S304547

Ejemplares similares