Neuro / Head & NeckAI / InformaticsResearch
7T susceptibility-weighted MRI vascular features plus machine learning distinguish glioma IDH status and WHO grade
Journal of magnetic resonance imaging : JMRIyesterday
Adding 7T susceptibility-weighted MRI vascular features to clinical factors yielded area under the curve 0.888 for isocitrate dehydrogenase status and 0.889 for World Health Organization grade, outperforming imaging-only models (0.816–0.843 and 0.834–0.874).
- Nine robust vascular features were retained after feature selection; models included logistic regression, support vector machine, naive Bayes, and random forest.
- Internal validation imaging-only area under the curve was 0.816–0.843 for IDH status and 0.834–0.874 for WHO grade.
- Evidence level 4, technical efficacy stage 2, retrospective single-center design without external validation.
Evidence grade: Level 4
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