Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

PURPOSE: To compare the performances of deep learning (DL) to radiomics analysis (RA) in predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) based on pretreatment dynamic contrast-enhanced MRI (DCE-MRI) in breast cancer. MATERIALS AND METHODS: This retrospective study i...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Yunsong, Cheng, Ziliang, Gong, Chang, Zheng, Chushan, Zhang, Xiang, Wu, Zhuo, Yang, Yaping, Yang, Xiaodong, Zheng, Jian, Shen, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960929/
https://www.ncbi.nlm.nih.gov/pubmed/35359387
http://dx.doi.org/10.3389/fonc.2022.846775

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960929/
https://www.ncbi.nlm.nih.gov/pubmed/35359387
http://dx.doi.org/10.3389/fonc.2022.846775

Ejemplares similares