Open access
Aug 2026
Predictive value of 18F-FDG PET/CT PyRadiomics features using a tabular deep learning model for cancer-related cognitive impairment in patients with DLBCL without CNS involvement
Tabular deep learning models based on handcrafted PET/CT PyRadiomics features showed preliminary potential for predicting CRCI in patients with non-CNS DLBCL, and a left occipital CT texture feature emerged as the highest-ranked model contributor in SHAP analysis.
Jing Wang, Yiyuan Dong, Ning Xu et al.
· Frontiers in Oncology · 0 citations