Development and validation of radiomics machine learning model based on contrast-enhanced computed tomography to predict axillary lymph node metastasis in breast cancer

Preoperative identification of axillary lymph node metastasis can play an important role in treatment selection strategy and prognosis evaluation. This study aimed to establish a clinical nomogram based on lymph node images to predict lymph node metastasis in breast cancer patients. A total of 193 p...

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Detalles Bibliográficos
Autores principales: Zhang, Jieqiu, Cao, Gaofei, Pang, Haowen, Li, Jin, Yao, Xiaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113944/
https://www.ncbi.nlm.nih.gov/pubmed/36226600
http://dx.doi.org/10.17305/bjbms.2022.7853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113944/
https://www.ncbi.nlm.nih.gov/pubmed/36226600
http://dx.doi.org/10.17305/bjbms.2022.7853

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