A comprehensive evaluation of advanced dose calculation algorithms for brain stereotactic radiosurgery
Jihyung Yoon1, Hyunuk Jung1, Sean M Tanny1
1Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA.
Journal of Applied Clinical Medical Physics
|September 30, 2023
Summary
For brain stereotactic radiosurgery (SRS), Voxel Monte Carlo (VMC) calculations generally yield higher doses than Acuros XB (AXB), especially for small targets. VMC also shows better agreement with measured doses in phantom studies.
Area of Science:
- Medical Physics
- Radiotherapy
- Radiation Oncology
Background:
- Accurate dose calculation is critical in brain stereotactic radiosurgery (SRS) for both target coverage and normal tissue sparing.
- Advanced algorithms are employed to improve dose calculation accuracy in complex treatment scenarios.
Purpose of the Study:
- To evaluate and compare the dosimetric accuracy of two advanced dose calculation algorithms, Voxel Monte Carlo (VMC) and Acuros XB (AXB), for brain SRS.
- To assess the performance of these algorithms in both clinical patient plans and phantom studies.
Main Methods:
- A retrospective analysis of 138 SRS patient plans (443 targets) using VMC, followed by recalculation with AXB.
- Comparison of target dose metrics (Dref, D95, Dmean) and analysis of dose differences relative to distance from the skull.
- Validation using cylindrical and head phantoms with ion chamber and EBT3 film measurements.
Main Results:
- VMC calculations were generally higher than AXB, with >5% differences in Dref for small targets (<0.3 cm³).
- Dose differences (Dmean, D95) were more pronounced for smaller targets.
- Phantom studies indicated VMC had better agreement with measurements for point dose and high dose spread compared to AXB.
Conclusions:
- Acuros XB may underestimate target dose for small targets in brain SRS compared to Voxel Monte Carlo.
- Voxel Monte Carlo demonstrates a slightly closer agreement with measured doses, suggesting potential advantages for small target accuracy in SRS.


