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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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Whole-tumor ensemble derived multiparametric data classify the emergent angiogenic landscape better than either morphological or hemodynamic parameters alone. Hierarchical clustering of tumors as D21 (Day 21 tumors) or Day35 (Day 35 tumors) based on the unweighted pair-group method (hatched vertical line indicates the distance threshold). Automatic stratification of tumors into D21 and D35 categories based on: (a) tumor volume, (b) select vascular morphology parameters (L, L_v, S_v, D_v), (c) select hemodynamic parameters (Q, Vel, PO₂, vstt, MPL), and (d) a combination of select vascular morphology and hemodynamic parameters (L, L_v, S_v, D_v, vstt and PO₂). Cophenetic correlation coefficients for these clusters were 0.88 0.82, 0.85 and 0.84, respectively. The misclassified D35 sample is Tumor 4 (Fig. 1d) and the misclassified D21 sample is Tumor 3 (Fig. 1c). It should be noted that one Day 35 tumor (Fig. 1d) exhibited morphological features that strongly overlapped with that of one Day 21 tumor (Fig. 1c) and was thus repeatedly found in the cluster corresponding to the Day 21 tumors.