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. 2021 Apr 19;11:8520. doi: 10.1038/s41598-021-87887-4

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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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Summary statistics from scenario 1. Error analysis from the model calibration scenario are shown for the entire cohort using the best model. The left column shows the percent error in the tumor volume for the enhancing (top) and non-enhancing (bottom) regions. Greater error was observed in the non-enhancing regions versus the enhancing regions. The middle column shows the Dice values for the enhancing (top) and non-enhancing (bottom) regions. A high level of overlap (median Dice values all greater than 0.76) were observed for the enhancing regions and the non-enhancing regions. The third column shows the results of the voxel-level error analysis for the PCC (top) and CCC (bottom). A high level of agreement and correlation was observed at earlier time points (1-month) versus at later time points (5-month). MATLAB R2019b (Mathworks, Natick, MA) was used for producing individual figures, images, and graphs. Adobe Photoshop 2020 (Adobe, San Jose, CA) was used to arrange individual panels, draw schematics, and add text.