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@ARTICLE{Titt:127645,
author = {U. Titt and M. Sell and J. Unkelbach and M. Bangert$^*$ and
D. Mirkovic and U. Oelfke and R. Mohan},
title = {{D}egradation of proton depth dose distributions
attributable to microstructures in lung-equivalent
material.},
journal = {Medical physics},
volume = {42},
number = {11},
issn = {0094-2405},
address = {New York, NY},
reportid = {DKFZ-2017-03668},
pages = {6425 - 6432},
year = {2015},
abstract = {The purpose of the work reported here was to investigate
the influence of sub-millimeter size heterogeneities on the
degradation of the distal edges of proton beams and to
validate Monte Carlo (MC) methods' ability to correctly
predict such degradation.A custom-designed high-resolution
plastic phantom approximating highly heterogeneous,
lung-like structures was employed in measurements and in
Monte Carlo simulations to evaluate the degradation of
proton Bragg curves penetrating heterogeneous
media.Significant differences in distal falloff widths and
in peak dose values were observed in the measured and the
Monte Carlo simulated curves compared to pristine proton
Bragg curves. Furthermore, differences between simulations
of beams penetrating CT images of the phantom did not agree
well with the corresponding experimental differences. The
distal falloff widths in CT image-based geometries were
underestimated by up to 0.2 cm in water (corresponding to
0.8-1.4 cm in lung tissue), and the peak dose values of
pristine proton beams were overestimated by as much as
$˜35\%$ compared to measured curves or depth-dose curves
simulated on the basis of true geometry. The authors
demonstrate that these discrepancies were caused by the
limited spatial resolution of CT images that served as a
basis for dose calculations and lead to underestimation of
the impact of the fine structure of tissue heterogeneities.
A convolution model was successfully applied to mitigate the
underestimation.The results of this study justify further
development of models to better represent heterogeneity
effects in soft-tissue geometries, such as lung, and to
correct systematic underestimation of the degradation of the
distal edge of proton doses.},
keywords = {Protons (NLM Chemicals)},
cin = {E040},
ddc = {610},
cid = {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:26520732},
pmc = {pmc:PMC4608968},
doi = {10.1118/1.4932625},
url = {https://inrepo02.dkfz.de/record/127645},
}