Textural features, which can quantify the intra-tumor heterogeneity by evaluating the gray-level intensity and position of the pixels within an image (Castellano et al. 2004; O’Connor et al. 2015), have also been applied to predict MGMT methylation status (Xi et al. 2017), EGFR expression (Li et al. 2018), and immune cell infiltration status (Narang et al. 2017) for gliomas. The gene discussed is EGFR; the disease is glioma.