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

Abstract

We developed a CT-based XGBoost classifier to extrapolate the infiltration levels of CD8⁺ T-cells in patients with PDAC. This method could be useful in identifying potential patients who can benefit from immunotherapies.