IDH1 and neoplasm: The promising results may be partially attributed to two reasons: (1) Compared to first-order texture features based on histograms of the original image, higher order features provided spatial information among pixels and may better reflect the tumor heterogeneity (Hu et al., 2015); (2) Machine learning method enabled the integration of quantitative textural image features to build a model to predict IDH1 mutation.