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. 2021 Apr 8;3(1):vdab051. doi: 10.1093/noajnl/vdab051

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© The Author(s) 2021. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 2. — Receiver-operating characteristic (ROC) curves for prediction of MGMT methylation status. (A) Combined model constructed with a combination of 2 conventional and 3 diffusion MR texture features with AUC: 0.79. (B) Comparative analysis of ROCs shows significant (P = .006) improvement in prediction of MGMT methylation status in combined model (conventional + diffusion MR) in comparison to conventional only model. Parameters (n = 5) included in the final model are first-order mean absolute deviation (FLAIR), GLCM cluster shade (T1c+), GLCM autocorrelation (b1000), GLCM cluster shade (b1000), and GLCM sum entropy (ADC).