XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8(+) T-Cells in Patients With Pancreatic Ductal Adenocarcinoma

OBJECTIVES: This study constructed and validated a machine learning model to predict CD8(+) tumor-infiltrating lymphocyte expression levels in patients with pancreatic ductal adenocarcinoma (PDAC) using computed tomography (CT) radiomic features. MATERIALS AND METHODS: In this retrospective study, 1...

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Detalles Bibliográficos
Autores principales: Li, Jing, Shi, Zhang, Liu, Fang, Fang, Xu, Cao, Kai, Meng, Yinghao, Zhang, Hao, Yu, Jieyu, Feng, Xiaochen, Li, Qi, Liu, Yanfang, Wang, Li, Jiang, Hui, Lu, Jianping, Shao, Chengwei, Bian, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170309/
https://www.ncbi.nlm.nih.gov/pubmed/34094971
http://dx.doi.org/10.3389/fonc.2021.671333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170309/
https://www.ncbi.nlm.nih.gov/pubmed/34094971
http://dx.doi.org/10.3389/fonc.2021.671333

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