CD274 and non-small cell lung carcinoma: The DCA indicated favorable clinical utility, and the calibration curve demonstrated the model's high level of prediction accuracy.<h4>Discussion</h4>Our study indicated that the machine learning model based on spectral CT could effectively evaluate the PD-L1 expression in resectable NSCLC.<h4>Conclusion</h4>The XGBoost model, integrating spectral CT quantitative parameters and imaging features, demonstrated considerable potential in predicting PDL1 expression.