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

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

ObjectivesThis 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 MethodsIn this retrospective study, 184 PDAC...

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Bibliographic Details
Main Authors: Jing Li, Zhang Shi, Fang Liu, Xu Fang, Kai Cao, Yinghao Meng, Hao Zhang, Jieyu Yu, Xiaochen Feng, Qi Li, Yanfang Liu, Li Wang, Hui Jiang, Jianping Lu, Chengwei Shao, Yun Bian
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Oncology
Subjects:
pancreatic ductal adenocarcinoma
CD8 positive T lymphocytes
contrast-enhanced computed tomography images
radiomics
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.671333/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.671333/full

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