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Novel Monte Carlo dose calculation algorithm for robotic radiosurgery with multi leaf collimator: Dosimetric

Sarah-Charlotta Heidorn1, Warren Kilby2, Christoph Fürweger3

  • 1European Cyberknife Center Munich, Munich, Germany.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
|November 26, 2018
PubMed
Summary

A new Monte Carlo (MC) algorithm significantly improves dose calculation accuracy for robotic stereotactic radiosurgery (SRS) with a multi-leaf collimator (MLC) in heterogeneous tissues. This advancement enhances treatment planning and patient safety.

Keywords:
Inhomogeneous/heterogeneous tissuesMLCMonte Carlo dose calculationRobotic radiosurgery

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Radiation Oncology

Background:

  • Robotic stereotactic radiosurgery (SRS) and stereotactic body radiation therapy (SBRT) platforms utilize multi-leaf collimators (MLCs) for precise radiation delivery.
  • Initial dose calculation algorithms, such as the Finite-Size Pencil Beam (FSPB), had limitations in accuracy, particularly in complex scenarios.

Purpose of the Study:

  • To evaluate the dosimetric accuracy of a novel Monte Carlo (MC) dose calculation algorithm for an MLC on a robotic SRS/SBRT platform.
  • To compare the performance of the new MC algorithm against the existing FSPB algorithm.

Main Methods:

  • A heterogeneous phantom simulating lung tissue and solid water was irradiated with various MLC fields.
  • Radiochromic film (EBT3) was used for dose measurements.
  • Calculated dose distributions from the MC and FSPB algorithms were compared to film measurements using line scans and 2D gamma analysis.

Main Results:

  • The MC algorithm accurately reproduced dose drops in low-density regions, unlike the FSPB algorithm.
  • MC calculations achieved significantly higher average gamma pass rates (91.2%) compared to FSPB (55.4%) for 2%/1mm criteria.
  • Localized anomalies in MC calculations at density transitions were identified and resolved in a modified engine, improving pass rates to 96.6%.

Conclusions:

  • The novel MC algorithm substantially enhances dosimetric accuracy in heterogeneous tissues for robotic radiosurgery.
  • This improved accuracy has the potential to expand the clinical applications of MLC-based robotic radiosurgery.
  • Independent validation of software solutions is crucial for identifying and mitigating residual uncertainties.