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. 2021 Jun 29;11:13526. doi: 10.1038/s41598-021-93002-4

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© The Author(s) 2021

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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The VOI of lung cancer was delineated, and imaging features were extracted. First, the t-test was used to select features between cases STAS(+)/(−). Second, feature selection with recursive feature elimination was performed. Third, the features were put into XGBoost. The cut-off value was calculated with a ROC analysis, and then the survival curves were analyzed. (D, R version 3.5.1, R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/).