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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},
}