Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients

BACKGROUND: Complete response after neoadjuvant chemotherapy (rNACT) elevates the surgical outcomes of patients with breast cancer, however, non-rNACT have a higher risk of death and recurrence. AIM: To establish novel machine learning (ML)-based predictive models for predicting probability of rNACT...

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Detalles Bibliográficos
Autores principales: Ke, Zi-Rui, Chen, Wei, Li, Man-Xiu, Wu, Shun, Jin, Li-Ting, Wang, Tie-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Retrospective Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048567/
https://www.ncbi.nlm.nih.gov/pubmed/35611192
http://dx.doi.org/10.12998/wjcc.v10.i11.3389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048567/
https://www.ncbi.nlm.nih.gov/pubmed/35611192
http://dx.doi.org/10.12998/wjcc.v10.i11.3389

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