Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.

Céline De LoozeAlan BeausangJane CryanTeresa LoftusPatrick G BuckleyMichael FarrellSeamus LoobyRichard ReillyFrancesca BrettHugh Kearney

Published in: Journal of neuro-oncology (2018)

These data demonstrate the ability of machine learning to accurately classify diffuse gliomas by both WHO grade and IDH status from routine MRI alone-without significant image processing, which may facilitate usage as a diagnostic adjunct in clinical practice.

Keyphrases

machine learning
clinical practice
low grade
newly diagnosed
high grade
big data
deep learning
artificial intelligence
magnetic resonance imaging
wild type
contrast enhanced
electronic health record
solid phase extraction
diffusion weighted imaging
high resolution