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. 2024 Feb 29;37(4):1475–1487. doi: 10.1007/s10278-023-00923-9

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© The Author(s) 2024

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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Fig. 5 — Univariate and multivariable Cox regression analyses of predictors of RFS in the training set. Hazard ratios and 95% confidence intervals (CIs) were used to show the correlation between the recurrence risk and factors including clinicopathological features and risk score. TIC, time-intensity curve; PR, progesterone receptor; HER2, human epidermal growth factor receptor 2; NAC, neoadjuvant chemotherapy; ADC, apparent diffusion coefficient