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@ARTICLE{Bendinger:132627,
      author       = {A. Bendinger$^*$ and C. Glowa$^*$ and J. Peter$^*$ and C.
                      Karger$^*$},
      title        = {{P}hotoacoustic imaging to assess pixel-based s{O}2
                      distributions in experimental prostate tumors.},
      journal      = {Journal of biomedical optics},
      volume       = {23},
      number       = {3},
      issn         = {1083-3668},
      address      = {Bellingham, Wash.},
      publisher    = {SPIE},
      reportid     = {DKFZ-2018-00287},
      pages        = {1-11},
      year         = {2018},
      abstract     = {A protocol for photoacoustic imaging (PAI) has been
                      developed to assess pixel-based oxygen saturation (sO2)
                      distributions of experimental tumor models. The protocol was
                      applied to evaluate the dependence of PAI results on
                      measurement settings, reproducibility of PAI, and for the
                      characterization of the oxygenation status of experimental
                      prostate tumor sublines (Dunning R3327-H, -HI, -AT1)
                      implanted subcutaneously in male Copenhagen rats. The
                      three-dimensional (3-D) PA data employing two wavelengths
                      were used to estimate sO2 distributions. If the PA signal
                      was sufficiently strong, the distributions were independent
                      from signal gain, threshold, and positioning of animals.
                      Reproducibility of sO2 distributions with respect to shape
                      and median values was demonstrated over several days. The
                      three tumor sublines were characterized by the shapes of
                      their sO2 distributions and their temporal response after
                      external changes of the oxygen supply $(100\%$ O2 or air
                      breathing and clamping of tumor-supplying artery). The
                      established protocol showed to be suitable for detecting
                      temporal changes in tumor oxygenation as well as differences
                      in oxygenation between tumor sublines. PA results were in
                      accordance with histology for hypoxia, perfusion, and
                      vasculature. The presented protocol for the assessment of
                      pixel-based sO2 distributions provides more detailed
                      information as compared to conventional
                      region-of-interest-based analysis of PAI, especially with
                      respect to the detection of temporal changes and tumor
                      heterogeneity.},
      cin          = {E020 / E040},
      ddc          = {530},
      cid          = {I:(DE-He78)E020-20160331 / I:(DE-He78)E040-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29560625},
      doi          = {10.1117/1.JBO.23.3.036009},
      url          = {https://inrepo02.dkfz.de/record/132627},
}