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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},
}