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Dose calculation of dynamic trajectory radiotherapy using Monte Carlo.
Peter Manser1, Daniel Frauchiger1, Daniel Frei1
1Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
A new tool accurately calculates and verifies radiation doses for dynamic trajectories in radiotherapy. This advancement enables precise cancer treatment using advanced linear accelerator techniques.
Area of Science:
- Medical Physics
- Radiation Oncology
- Computational Biology
Background:
- Volumetric Modulated Arc Therapy (VMAT) allows dynamic changes in gantry position and dose rate during treatment.
- Advanced VMAT techniques can incorporate dynamic adjustments of the collimator and couch, increasing treatment delivery freedom.
- A need exists for a dose calculation and verification tool capable of handling these complex dynamic trajectories.
Purpose of the Study:
- To develop a novel dose calculation and verification tool for dynamic radiotherapy trajectories.
- To implement Monte Carlo (MC) methods for accurate dose assessment in complex treatment plans.
- To validate the tool's performance against experimental measurements.
Main Methods:
- The Swiss Monte Carlo Plan (SMCP) was extended to incorporate dynamic collimator and couch movements.
- Data pairs of component positions and MU-fractions defined the dynamic parameters.
- Dose distributions were validated using Delta4 phantom and film measurements on a TrueBeam linear accelerator.
Main Results:
- The extended SMCP successfully implemented dose calculation for dynamic trajectories.
- Calculated and measured dose distributions agreed within 3% or 3mm for both simple and complex cases.
- Inclusion of additional dynamic components did not increase computation time.
Conclusions:
- The enhanced SMCP serves as an accurate and efficient tool for dose calculation and verification in dynamic trajectory radiotherapy.
- The tool supports advanced radiotherapy techniques, improving treatment precision.
- This development facilitates the clinical implementation of complex dynamic treatment plans.
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