Plan library based online adaptive IMPT for head and neck cancer
Michelle Oud,
The Netherlands
MO-0794
Abstract
Plan library based online adaptive IMPT for head and neck cancer
Authors: Michelle Oud1, Sebastiaan Breedveld1, Marta Giżyńska2, Michiel Kroesen3,1, Stefan Hutschemaekers3, Steven Habraken1,2, Steven Petit1, Zoltán Perkó4, Ben Heijmen1, Mischa Hoogeman1,2
1Erasmus MC Cancer Institute, Department of Radiation Oncology, Rotterdam, The Netherlands; 2Holland Proton Therapy Center, Department of Medical Physics & Informatics, Delft, The Netherlands; 3Holland Proton Therapy Center, Department of Radiation Oncology, Delft, The Netherlands; 4Delft University of Technology, Department of Radiation Science and Technology, Delft, The Netherlands
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Purpose or Objective
IMPT delivery accuracy may be compromised by
setup and range inaccuracies and anatomical changes. These are mitigated
by robust planning with setup robustness (SR) and range robustness (RR)
settings and offline re-planning. Generally, SR settings are fixed for a tumor
site and for the treatment course, using a value that ensures target coverage
for the vast majority of patients. Daily re-planning could ensure adequate
target coverage and reduce the required SR settings, but drastically increases
workload. In this study we propose the use of a pre-treatment established
library of treatment plans, each generated for a different SR. It was
hypothesized that this online adaptive approach based on daily selection of the
patient plan with the best fitting SR could improve CTV and OAR doses compared
to conventional treatment with fixed SR settings. The concept was evaluated for
head and neck cancer using computer simulations.
Material and Methods
Weekly repeat CTs (rCTs) from 15 patients
treated with 70 GyRBE to the primary CTV (CTV7000) and
54.25 GyRBE to the nodal CTV (CTV5425) were used.
Contours were propagated from the planning CT (pCT) to the rCTs and manually
adjusted if needed. For each patient, a plan library was generated based on the
pCT using automated treatment planning. Plans were robustly optimized with 0,
1, 2, 3 or 5 mm SR settings and 3% RR settings.
For each patient, 25 treatment courses of
35 fractions were simulated with realistic setup and range errors. In the plan
library approach, in each fraction a plan was selected from the library by
evaluating the nominal dose distribution recalculated on the rCT. Both for
conventional treatments and the plan library approach, CTV doses were
accumulated. For OARs, NTCPs were compared.
Results
In the plan library strategy, the 0, 1, 2,
3 or 5 mm plan was selected in 6%, 31%, 30%, 7% and 25% of the fractions
respectively. 91.2% of the simulated treatments complied with all target aims,
compared to 69.6%, 82.1% and 94.7% in the 2, 3 and 5 mm SR treatments,
respectively (Fig. 1).
While maintaining overall adequate
coverage, the plan library resulted in a mean reduction of 3.8 ± 2.1 (SD) %-point and 3.7 ± 2.5%-point for
the risk of grade ≥ II xerostomia and
dysphagia compared to using 5 mm SR (Fig.2). Compared to 3 mm SR, for
6/15 patients, the risk of xerostomia and/or dysphagia ≥ grade II could be
reduced by > 2%. For the four patients (12-15) without NTCP improvement,
adherence to target constraints was improved instead. Compared to 2 mm SR, adherence
to target constraints was improved for 9/15 patients at the cost of NTCP.
Conclusion
The proposed plan library approach outperformed
conventional treatment with fixed SR settings by reducing NTCP for similar
coverage, or enhancing coverage without offline re-planning. Clinical
implementation is rather straightforward making the approach a more practical
online adaptive strategy than daily re-planning.