The value of an apparent diffusion coefficient histogram model in predicting meningioma recurrence

This study evaluated the feasibility of the model combining conventional MRI features and apparent diffusion coefficient (ADC) histogram parameters for predicting recurrent meningioma. The results showed that tumor shape and ADCp1 were independent risk factors for predicting meningioma recurrence after removing confounding factors by single and multiple logistic regression analysis. The logistic regression model nomogram constructed based on the above two risk factors for predicting meningioma recurrence, which had a higher predictive effect than a single risk factor. In conclusion, logistic regression model nomogram have important value in predicting meningioma recurrence and helping patients achieve the greatest survival benefit.