Cargando…
Radiomic features of axillary lymph nodes based on pharmacokinetic modeling DCE-MRI allow preoperative diagnosis of their metastatic status in breast cancer
OBJECTIVE: To study the feasibility of use of radiomic features extracted from axillary lymph nodes for diagnosis of their metastatic status in patients with breast cancer. MATERIALS AND METHODS: A total of 176 axillary lymph nodes of patients with breast cancer, consisting of 87 metastatic axillary...
Autores principales: | Luo, Hong-Bing, Liu, Yuan-Yuan, Wang, Chun-hua, Qing, Hao-Miao, Wang, Min, Zhang, Xin, Chen, Xiao-Yu, Xu, Guo-Hui, Zhou, Peng, Ren, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920570/ https://www.ncbi.nlm.nih.gov/pubmed/33647031 http://dx.doi.org/10.1371/journal.pone.0247074 |
Ejemplares similares
-
Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI
por: Cui, Xiaoyu, et al.
Publicado: (2019) -
Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram
por: Liu, Ying, et al.
Publicado: (2022) -
Radiomics Nomogram of DCE-MRI for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer
por: Mao, Ning, et al.
Publicado: (2020) -
Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer
por: Chen, Yanhong, et al.
Publicado: (2023) -
The Diagnostic Performance of Machine Learning-Based Radiomics of DCE-MRI in Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Meta-Analysis
por: Zhang, Jing, et al.
Publicado: (2022)