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. 2023 Jul 1;13:10690. doi: 10.1038/s41598-023-37862-y

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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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Radiomics features of the selection process for predicting progressive disease (PD). (a) PD and non-PD stratified the overall survival (OS) of HCC patients treated with TKI-PD-1. (b) LASSO method to find the 10 most meaningful features of PD. (c) A chord diagram and heatmap illustrate the correlation matrix among all 10 features. In the left chord diagram, the wider the bands are, the closer the correlation. In the right heatmap (generated by R software version 3.6.0), correlated paired features are exhibited with color backgrounds. Red indicates a positive correlation; green indicates a negative correlation. (d) Principal component analysis of the features correlated with PD.