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. 2019 Jul 19;9:10497. doi: 10.1038/s41598-019-46899-x

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© The Author(s) 2019

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Prognostic value of the compactness-based risk model. Kaplan-Meier curves for overall survival (OS) and progression-free survival (PFS) are shown for the various datasets and compactness-based risk groupings (low, moderate, and high). P-values were calculated using the log-rank test. The OS and PFS results are presented for the training dataset (A,B) and the validation datasets from Fujian (C,D) and Beijing CCRT + RT alone (E,F) or Beijing RT alone (G,H).