Radiomics Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

Purpose: To investigate whether a combination of radiomics and automatic machine learning applied to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of primary breast cancer can non-invasively predict axillary sentinel lymph node (SLN) metastasis. Methods: 62 patients who received a D...

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Detalles Bibliográficos
Autores principales: Liu, Jia, Sun, Dong, Chen, Linli, Fang, Zheng, Song, Weixiang, Guo, Dajing, Ni, Tiangen, Liu, Chuan, Feng, Lin, Xia, Yuwei, Zhang, Xiong, Li, Chuanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778833/
https://www.ncbi.nlm.nih.gov/pubmed/31632912
http://dx.doi.org/10.3389/fonc.2019.00980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778833/
https://www.ncbi.nlm.nih.gov/pubmed/31632912
http://dx.doi.org/10.3389/fonc.2019.00980

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