The Diagnostic Performance of Machine Learning-Based Radiomics of DCE-MRI in Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Meta-Analysis

OBJECTIVE: The aim of this study was to perform a meta‐analysis to evaluate the diagnostic performance of machine learning(ML)-based radiomics of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) DCE-MRI in predicting axillary lymph node metastasis (ALNM) and sentinel lymph node metas...

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Detalles Bibliográficos
Autores principales: Zhang, Jing, Li, Longchao, Zhe, Xia, Tang, Min, Zhang, Xiaoling, Lei, Xiaoyan, Zhang, Li
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/PMC8854258/
https://www.ncbi.nlm.nih.gov/pubmed/35186739
http://dx.doi.org/10.3389/fonc.2022.799209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854258/
https://www.ncbi.nlm.nih.gov/pubmed/35186739
http://dx.doi.org/10.3389/fonc.2022.799209

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