Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung Cancer

Assessment of the quality and current performance computed tomography (CT) radiomics-based models in predicting epidermal growth factor receptor (EGFR) mutation status patients with non-small-cell lung carcinoma (NSCLC). Two medical literature databases were systematically searched, articles presenting original studies on CT for EGFR retrieved. Forest plots related statistical tests performed to summarize model inter-study heterogeneity. The methodological selected was assessed via Radiomics Quality Score (RQS). evaluated using area under curve (ROC AUC). range Risk RQS across varied from 11 24, indicating a notable heterogeneity methodology included studies. average score 15.25, which accounted 42.34% maximum possible score. pooled Area Under Curve (AUC) value 0.801, accuracy status. show promising results as non-invasive alternatives NSCLC patients. However, varies widely, further harmonization prospective validation are needed before generalization these models.