Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI.
Journal:
Neuroradiology
Published Date:
Dec 1, 2020
Abstract
PURPOSE: Pituitary macroadenoma consistency can influence the ease of lesion removal during surgery, especially when using a transsphenoidal approach. Unfortunately, it is not assessable on standard qualitative MRI. Radiomic texture analysis could help in extracting mineable quantitative tissue characteristics. We aimed to assess the accuracy of texture analysis combined with machine learning in the preoperative evaluation of pituitary macroadenoma consistency in patients undergoing endoscopic endonasal surgery.