Prediction of diabetes insipidus occurrence after endoscopic endonasal removal of sellar lesions using MRI-based radiomics and machine learning

CONCLUSIONS: We assessed the accuracy of machine learning analysis of texture-derived parameters from preoperative MRI of pituitary adenomas and craniopharyngiomas for the prediction of DI occurrence.PMID:38287775 | DOI:10.23736/S0390-5616.23.06162-3
Source: Journal of Neurosurgical Sciences - Category: Neurosurgery Authors: Source Type: research