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@ARTICLE{Hahn:153900,
author = {A. Hahn and J. Bode$^*$ and T. Krwel and T. Kampf and L. R.
Buschle$^*$ and V. Sturm$^*$ and K. S. Zhang$^*$ and B. Tews
and H.-P. Schlemmer$^*$ and S. Heiland and M. Bendszus and
C. H. Ziener$^*$ and M. O. Breckwoldt$^*$ and F. T.
Kurz$^*$},
title = {{G}ibbs point field model quantifies disorder in
microvasculature of {U}87-glioblastoma.},
journal = {Journal of theoretical biology},
volume = {494},
issn = {0022-5193},
address = {Amsterdam},
publisher = {Elsevier Ltd.},
reportid = {DKFZ-2020-00510},
pages = {110230},
year = {2020},
note = {2020 Jun 7;494:110230#LA:E010#},
abstract = {Microvascular proliferation in glioblastoma multiforme is a
biological key mechanism to facilitate tumor growth and
infiltration and a main target for treatment interventions.
The vascular architecture can be obtained by Single Plane
Illumination Microscopy (SPIM) to evaluate vascular
heterogeneity in tumorous tissue. We make use of the Gibbs
point field model to quantify the order of regularity in
capillary distributions found in the U87 glioblastoma model
in a murine model and to compare tumorous and healthy brain
tissue. A single model parameter Γ was assigned that is
linked to tissue-specific vascular topology through
Monte-Carlo simulations. Distributions of the model
parameter Γ differ significantly between glioblastoma
tissue with mean 〈ΓG〉=2.1±0.4, as compared to healthy
brain tissue with mean 〈ΓH〉=4.9±0.4, suggesting that
the average Γ-value allows for tissue differentiation.
These results may be used for diagnostic magnetic resonance
imaging, where it has been shown recently that Γ is linked
to tissue-inherent relaxation parameters.},
cin = {V077 / E010 / D170},
ddc = {570},
cid = {I:(DE-He78)V077-20160331 / I:(DE-He78)E010-20160331 /
I:(DE-He78)D170-20160331},
pnm = {315 - Imaging and radiooncology (POF3-315)},
pid = {G:(DE-HGF)POF3-315},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32142806},
doi = {10.1016/j.jtbi.2020.110230},
url = {https://inrepo02.dkfz.de/record/153900},
}