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

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

ObjectiveInguinal 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 predic...

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Bibliographic Details
Main Authors: Li Ding, Chi Zhang, Kun Wang, Yang Zhang, Chuang Wu, Wentao Xia, Shuaishuai Li, Wang Li, Junqi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Surgery
Subjects:
machine learning algorithms
prediction model
penis cancer
squamous cell carcinoma
inguinal lymph node metastases
real-world research
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2023.1095545/full

Internet

https://www.frontiersin.org/articles/10.3389/fsurg.2023.1095545/full

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