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. 2016 Sep 20;6:33860. doi: 10.1038/srep33860

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Copyright © 2016, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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Value of radiomic features to predict mutational status extracted from (A) before treatment scan, (B) post-treatment scan, and (C) delta (difference between the scan before and after treatment). Predictive value is assessed using the area under the curve (AUC) of the receiver operator characteristic (ROC). Asterisk denotes features that significantly predict mutation status better than random (p < 0.05). Note, before treatment only the radiomic feature Laws_Energy was significant for predicting mutation status, and conventional imaging markers showed no significant predictive power. After treatment no features are predictive, however delta feature values between the pre and post-scan show strongest predictive value.