Prediction meningioma grade by constructing a cli-radiomics model nomogram based on magnetic resonance imaging

This study investigate the feasibility of a cli-radiomics model in preoperative noninvasive prediction of meningioma grade. This study attempted to construct a radiomics model for predicting meningioma grade based on T1C and T2WI sequences using different classifiers, select the optimal radiomics model, and combine it with clinical labels to construct a nomogram. Decision curve analysis was used to verify the clinical validity of the nomogram, which provides a non-invasive and convenient alternative method for clinicians to predict meningioma grades.