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Cavity theory applications for kilovoltage cellular dosimetry
P A K Oliver1, Rowan M Thomson1
1Carleton Laboratory for Radiotherapy Physics, Physics Dept, Carleton University, Ottawa, K1S 5B6, Canada.
Physics in Medicine and Biology
|March 31, 2017
Summary
This study links macroscopic radiation doses to cellular doses using cavity theory and Monte Carlo simulations. An intermediate cavity theory approach accurately predicts cell nucleus doses, aiding model-based dose calculations.
Area of Science:
- Medical Physics
- Radiation Dosimetry
- Computational Biology
Background:
- Establishing relationships between bulk tissue and cellular radiation dose is crucial for accurate radiobiology and radiotherapy.
- Current model-based dose calculation algorithms (MBDCAs) require robust methods to link macroscopic dose descriptors to microscopic energy deposition.
- Cavity theory offers a framework to bridge the gap between macroscopic and microscopic dose calculations.
Purpose of the Study:
- To investigate the relationship between macroscopic (bulk tissue) and microscopic (cellular) dose descriptors using cavity theory and Monte Carlo (MC) simulations.
- To evaluate different cavity theory approaches (SCT, LCT, ICT) for calculating dose-to-water in μm-sized cavities within tissue phantoms.
- To compare cell nucleus doses calculated by the most accurate cavity theory approach with MC simulations in multicellular models.
Main Methods:
- Utilized small, large, and intermediate cavity theory (SCT, LCT, ICT) for incident photons (20–370 keV).
- Compared cavity theory predictions of dose-to-water-in-medium (Dw,m) to dose-to-medium-in-medium (Dm,m) with MC simulation results in water cavities within tissue phantoms.
- Calculated cell nucleus doses (Dnuc) using the best-performing ICT approach and compared them with MC simulations in multicellular soft tissue models.
Main Results:
- An intermediate cavity theory (ICT) approach, specifically [Formula: see text], demonstrated the best agreement with MC simulations for dose-to-water in μm-sized cavities.
- ICT predictions for cell nucleus doses (Dnuc) showed strong agreement with MC simulations, with agreement within [Formula: see text] in [Formula: see text] of cases (maximum disagreement 8.8%).
- Estimates of dose-to-water using SCT on MC results for Dm,m or Dnuc differed significantly, highlighting sensitivity to geometry and composition.
Conclusions:
- Cavity theory, particularly the developed ICT approach, is a viable tool for linking MBDCAs dose calculations to energy deposition in cellular targets.
- The study does not support the conversion of dose-to-medium to dose-to-water using SCT for MBDCAs, given the sensitivity of energy deposition to surrounding factors.
- Accurate dosimetry at the cellular level requires careful consideration of the geometry and elemental composition of the microscopic environment.

