Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer

Aim: After neoadjuvant chemotherapy (NACT), tumor shrinkage pattern is a more reasonable outcome to decide a possible breast-conserving surgery (BCS) than pathological complete response (pCR). The aim of this article was to establish a machine learning model combining radiomics features from multipa...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Yuhong, Chen, Wenben, Zhang, Xiaoling, He, Shaofu, Shao, Nan, Shi, Huijuan, Lin, Zhenzhe, Wu, Xueting, Li, Tongkeng, Lin, Haotian, Lin, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291046/
https://www.ncbi.nlm.nih.gov/pubmed/34295877
http://dx.doi.org/10.3389/fbioe.2021.662749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291046/
https://www.ncbi.nlm.nih.gov/pubmed/34295877
http://dx.doi.org/10.3389/fbioe.2021.662749

Ejemplares similares