3D MRI-Based Topological Analysis with Machine Learning to Predict Skull Base Meningioma Pathologic Grade.

This article, published in the Journal of Neurological Surgery, explores the use of machine learning and 3D MRI-based analysis to predict the pathologic grade of skull base meningiomas. The study analyzed preoperative MRIs from 38 patients and used a custom machine learning pipeline to predict the grade of the tumor. The results showed that the machine learning model had an area under the receiver operating characteristic curve (AUROC) of 0.75, indicating its potential for predicting the pathologic grade. However, further research with a larger sample size is needed to validate these findings and improve prognostication for patients with skull base meningiomas. [Extracted from the article]