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. 2022 Feb 10;29(12):1827–1839. doi: 10.1038/s41417-022-00433-w

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© The Author(s) 2022

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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Fig. 5 — A Comparison of MRI images of metastatic mice models including M20-09-196, OMM2.3, and OCM1, before and after administration of ProCA32.CXCR4. Both T1-weighted (left two columns) and T2-weighted (right two columns) MR images showing metastatic lesions, illuminated following the administration of ProCA32.CXCR4. Red arrows point to the UM metastases in the liver. B Zoom-in view of the metastases from M20-09-196, OMM2.3, and OCM1 mouse models; MRI signal-noise-ratio (SNR) of metastases following ProCA32.CXCR4 administration. C The box-and-whisker plot of tumor lesion SNR and liver SNR. The p-value of less than 0.001 generated from student’s T-test indicates a significant difference between tumor SNR and liver SNR. D ROC plot with statistical analysis that suggests ProCA32.CXCR4 provides diagnostic validation for UM metastases in the liver (lesions n = 22, mice n = 4). P < 0.05 indicates the significance.