A machine learning-based model for predicting the risk of early-stage inguinal lymph node metastases in patients with squamous cell carcinoma of the penis

OBJECTIVE: Inguinal lymph node metastasis (ILNM) is significantly associated with poor prognosis in patients with squamous cell carcinoma of the penis (SCCP). Patient prognosis could be improved if the probability of ILNM incidence could be accurately predicted at an early stage. We developed a pred...

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Detalles Bibliográficos
Autores principales: Ding, Li, Zhang, Chi, Wang, Kun, Zhang, Yang, Wu, Chuang, Xia, Wentao, Li, Shuaishuai, Li, Wang, Wang, Junqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063794/
https://www.ncbi.nlm.nih.gov/pubmed/37009612
http://dx.doi.org/10.3389/fsurg.2023.1095545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063794/
https://www.ncbi.nlm.nih.gov/pubmed/37009612
http://dx.doi.org/10.3389/fsurg.2023.1095545

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