Noninvasive prediction of node-positive breast cancer response to presurgical neoadjuvant chemotherapy therapy based on machine learning of axillary lymph node ultrasound

OBJECTIVES: To explore an optimal model to predict the response of patients with axillary lymph node (ALN) positive breast cancer to neoadjuvant chemotherapy (NAC) with machine learning using clinical and ultrasound-based radiomic features. METHODS: In this study, 1014 patients with ALN-positive bre...

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Detalles Bibliográficos
Autores principales: Zhang, Hao, Cao, Wen, Liu, Lianjuan, Meng, Zifan, Sun, Ningning, Meng, Yuanyuan, Fei, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201761/
https://www.ncbi.nlm.nih.gov/pubmed/37211604
http://dx.doi.org/10.1186/s12967-023-04201-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201761/
https://www.ncbi.nlm.nih.gov/pubmed/37211604
http://dx.doi.org/10.1186/s12967-023-04201-8

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