As a consequence, others have investigated the relationship between FDG-PET and PD-L1 status in NSCLC, but these analyses were limited to a few statistical associations.15 16 Our previous study demonstrated the utility of deep learning methods using intratumoral and peritumoral radiomics from PET/CT images to predict epidermal growth factor receptor (EGFR) mutation status, which could be used to support the treatment decisions for EGFR-TKI and other therapies, including ICI, which is generally more effective in EGFR wild-type cancers.17 Here, EGFR is linked to cancer.