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. 2021 May 3;11:9429. doi: 10.1038/s41598-021-88831-2

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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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Decision curve analysis of radiomics models for predicting perineural invasion status. (a) Training dataset; (b) Testing dataset. The y-axis measures the probability of net benefit. The x-axis measures the threshold probability of perineural invasion positive. The red solid curve represents concise score. The blue and yellow dotted curve represents MR score and integrated score, respectively. The grey curve represents the assumption that all perineural invasion status is positive. The black line represents the assumption that all perineural invasion status is negative.