Tissue-specific range uncertainty estimation in proton therapy
Casper Dueholm Vestergaard,
Denmark
MO-0793
Abstract
Tissue-specific range uncertainty estimation in proton therapy
Authors: Casper Olesen1, Ludvig Paul Muren1, Ulrik Vindelev Elstrøm1, Vicki Trier Taasti2
1Aarhus University Hospital, Danish Centre for Particle Therapy, Aarhus N, Denmark; 2Maastricht University, Department of Radiation Oncology (MAASTRO), Maastricht, The Netherlands
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Purpose or Objective
Proton
therapy is sensitive to range uncertainties, which mainly originate from the
CT-based estimation of the proton stopping power ratio (SPR). Range
uncertainties are typically accounted for by margins or robust optimization, where
tissue-independent (TI) uncertainties (same uncertainty for all tissues) mainly
are used. However, it can be assumed that the range uncertainty margins depend
on the specific tissues traversed by the protons. The aim of this study was to investigate
the differences between range margins based on tissue-specific (TS) and TI
range uncertainties.
Material and Methods
The CT-based range uncertainties caused by, e.g.,
CT image noise, beam hardening, and CT-to-SPR conversion inaccuracies were
evaluated for lung, soft and bone tissues to quantify the TS range
uncertainties (Fig 1). Proton plans were created using matRad for three
patients (pelvic, liver, and head-and-neck (HN)) and a thorax phantom, to
evaluate the range uncertainties in different tissue compositions. Conventional
optimization (i.e., without robust optimization) was used to isolate the
difference between applying the two types of uncertainties. The proton plans
were re-calculated after applying range uncertainties that were either TS (different
range uncertainties for lung, soft, and bone tissues, as categorized by the CT
number of the specific voxel) or fixed TI (0.5%-5.0%). The re-calculated proton plans were compared
based on dose volume histogram (DVH) parameters for the target, ring structures
around the target, and organs-at-risk (OARs). For each treatment site, the optimal
TI range uncertainty was defined as the one resulting in the largest overlap
between the TS and TI DVH values.
Results
The
range uncertainties were found to be 8.0% of the proton range for lung, 1.0%
for soft, and 2.3% for bone tissues. When comparing the re-calculated proton
plans, dose differences were mainly found in the vicinity of the target. It was
found that a single TI uncertainty did not provide the best fit for all DVH
parameters in any of the treatment sites (Fig 2). Hence, the differences
between the two types of re-calculated proton plans were smallest when several TI
range uncertainties were used for each treatment site. However, the differences
between the DVH values found using TS and TI range uncertainties increased only
slightly when using a single TI uncertainty for all DVH parameters for each
treatment site. The single best-fitting TI uncertainty was found to be 1.0% for
the pelvic and HN patient, 1.5% for the liver patient, and 2.0% for the thorax
phantom.
Conclusion
Different
range uncertainties were found for lung, soft, and bone tissue indicating that
range margins based on TS range uncertainties may be more exact than the
standard approach of using TI range uncertainties. A
single TI range uncertainty might still be sufficient to capture the TS range
uncertainties. However, the value of the TI range uncertainty will be dependent
on the treatment site.