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. 2019 Mar 27;9:5276. doi: 10.1038/s41598-019-40888-w

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© The Author(s) 2019

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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Emergent whole-tumor hemodynamics were more heterogeneous than their underlying microvascular morphology. CV of (a) morphological parameters - D, L, L_v, S_v, and D_v - based on data from all vessels within each tumor; and (b) hemodynamic parameters - Q, Vel, τ, and PO₂ - based on data from all the perfused vessels within each tumor. Tumors are arranged along the x-axis in the order of increasing tumor volume. Blue dots represent Day 21 tumors and orange dots represent Day 35 tumors. (c) Pairwise Pearson correlation matrix between morphological CVs and hemodynamic CVs. The upper triangular matrix illustrates the correlation coefficients, while the lower triangular matrix exhibits the underlying data from (a,b) and the linear fit to these values. Statistically significant entries (p < 0.05) are highlighted by orange boxes.