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. 2022 Jan 10;11:688679. doi: 10.3389/fonc.2021.688679

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Copyright © 2022 Wu, Zhang, Zhang, Zhang, Wang, Chen, Luo, He, Liu, Yang, Li, Wei, Zhang, Lu, Wang, Guo, Ye and Liu

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Performance of the NCE-radiomic models from largest lesion approach in training and testing sets. (A) Box and whisker plots depict radscore comparison between responders and non-responders. (B) NCE-radiomic nomogram developed in training set. (C) ROC curves of radiomics signatures in training and testing sets. (D) Calibration curve analysis for the nomogram in training set and testing set. (E) Decision curve analysis for the nomogram (red), radscore (purple), and clinical model (green). The y-axis indicates the net benefit; x-axis indicates threshold probability. The blue line represents the assumption that all patients were responders. The black line represents the hypothesis that no patients were responders.