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. 2023 Jan 11;13:533. doi: 10.1038/s41598-023-27714-0

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Prediction of response and overall survival. (a, b) Receiver operating characteristics (ROC) curves trained and tested using the final combined feature set of the radiomics feature LargeDependenceHighGrayLevelEmphasis and the clinical score mHAP_II_score_group. (a) Lesion-wise prediction with class 1 describing the individual responding lesions according to mRECIST. (b) Patient-wise prediction with class 1 describing the overall response on the patient-level according to mRECIST, including the impact of non-target lesions and potential new-lesions. (c) Patient-wise overall survival prediction. Kaplan–Meier plot of two test-patients who showed the shortest (102 days) or longest (censored at 2043 days) survival. Kaplan–Meier estimator was based on our final model. Logrank-Test was used.