Multi-parametric MRI Radiomics Combined with Clinical Factors to Predict the Response to Neoadjuvant Chemotherapy in Nasopharyngeal Carcinoma

This study aims to evaluate the predictive performance of the nomogram integrating multi-parametric MRI-based radiomics and clinical characteristics in detecting therapeutic response to neoadjuvant chemotherapy (NAC) in nasopharyngeal carcinoma (NPC) patients. Least absolute shrinkage and selection operator (LASSO) regression was performed to select radiomics features. A nomogram was constructed using multivariable logistic regression. The receiver operating characteristic (ROC) curves, calibration, and decision curves were performed to assess the discriminative performance of the clinical, radiomics, and the combined models. The nomograms developed by integrating radiomics score (Rad-Score) with clinical factors outperformed the clinical model alone.