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 KearneyPublished 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.