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Image‐based Characterization of Functional and Structural Heterogeneity of Tumor Xenografts using Blood Flow modeling, Oxygenation Modeling and Multivariate Analysis
Author(s) -
Stamatelos Spyros,
Kim Eugene,
Pathak Arvind,
Popel Aleksander
Publication year - 2015
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.29.1_supplement.787.11
Subject(s) - blood flow , multivariate statistics , oxygenation , computer science , visualization , pathology , medicine , data mining , machine learning
Tumor‐associated angiogenesis is an indispensable factor for the progression of solid tumors beyond a minimal size (1‐2 mm 3 ). The unprecedented advances in automated microscopic imaging allow the accurate 3D visualization of the morphology of individual vessels in tumors and the description of their function. We have combined high‐resolution imaging with blood flow and oxygenation modeling to produce maps of blood flow and oxygen distribution across the vascular and extravascular areas of tumor xenografts. Such development can be crucial to address the complex dynamics of the distribution of hypoxic regions across the tumor, and provide insights for their correlation with tumor vasculature structural properties. Since, many of the metrics we calculate are correlated; we employ a statistical methodology to describe all the metrics variability with respect to a reduced number of factors. The multidimensional analysis we are proposing provides a framework where hypotheses about drug delivery strategies among different tumors can be tested in an efficient and inexpensive manner.