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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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Radiomic nomogram was presented to predict Perineural Invasion status in rectal cancer. The nomogram was built in the training dataset with the T2 score and CT score using a multivariate logistic regression model. The range of T2 score and CT score are respectively − 2.4 to 0.4 and − 8 to 4. The proportional regression coefficients of T2 score and CT score were scaled in the points. Sum the points of T2 score and CT score to get the total points in points scale. The probability of perineural invasion in a rectal cancer patient is the corresponding numbers on the lower probability of Invasion scale.