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Monte Carlo simulations in radiotherapy dosimetry
1Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, and Department of Oncology-Pathology, Karolinska Institutet, Stockholm, SE-171 76, Sweden. pedro.andreo@ki.se.
Monte Carlo (MC) simulations are crucial for radiotherapy dosimetry, offering advanced calculations for reference dosimetry and treatment planning. However, ensuring data consistency and addressing uncertainties in tissue characterization remain key challenges for MC applications.
Area of Science:
- Medical Physics
- Computational Science
- Radiotherapy
Background:
- Monte Carlo (MC) methods have seen exponential growth in radiotherapy dosimetry.
- MC simulations are now standard tools for reference and treatment planning dosimetry.
Purpose of the Study:
- To review MC calculations for dosimetric quantities in reference dosimetry.
- To analyze MC simulations for clinical accelerators, detectors, and patient treatment planning.
Main Methods:
- Review of MC calculations for stopping-power ratios and perturbation correction factors.
- Examination of fully realistic MC simulations for clinical radiotherapy applications.
Main Results:
- Identified the need for data consistency in the entire reference dosimetry chain.
- Highlighted the breakdown of Bragg-Gray theory for small photon fields.
Conclusions:
- MC treatment planning faces challenges with tissue characterization and patient variability.
- Uncertainties in dose-to-water and dose-to-tissue conversions persist in MC treatment planning.
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