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Calculation of radiation dose at a bone-to-marrow interface using Monte Carlo modeling techniques (EGS4)
J C Johnson1, S M Langhorst, S K Loyalka
1Army Materiel Command, Office of the Command Surgeon, Alexandria, Virginia 22333.
Summary
This study simulated radiation dose profiles at bone-marrow interfaces using isotopes like 153Sm. Results show consistent dose contributions across isotopes and depths, aiding targeted internal radiation therapy.
Area of Science:
- Medical Physics
- Radiation Biology
- Computational Modeling
Background:
- Understanding radiation dose distribution at the microscopic bone-marrow interface is crucial for internal radiation dosimetry.
- Isotopes used in targeted radionuclide therapy can deposit dose heterogeneously.
- Accurate dose calculations are essential for predicting therapeutic efficacy and toxicity.
Purpose of the Study:
- To calculate radiation dose rate profiles at the bone-to-marrow interface.
- To investigate the dose contribution from atomic electrons, beta, and photon fractions for specific isotopes.
- To assess the impact of backscatter on marrow dose.
Main Methods:
- Simulated uniform radiation sources at the endosteal layer of long bones.
- Utilized the Electron-Gamma Shower (EGS4) computer program for microscopic dose calculations.
- Assumed isotopes (153Sm, 186Re, 166Ho) assimilated as surface agents.
- Validated the computational model against published dose factors with >95% accuracy.
Main Results:
- Dose distributions revealed contributions from electrons, beta, and photons.
- Backscatter dose to marrow increased from 3-4% at the source to 6-8% at 100 microns depth.
- Backscattered dose fraction was similar across the three isotopes.
- Dose contributions from 153Sm, 186Re, and 166Ho were similar between 25 and 125 microns.
Conclusions:
- The computational model accurately predicts dose distributions at the bone-marrow interface.
- Backscatter plays a significant role in marrow dose, increasing with depth.
- The studied isotopes exhibit similar dose distribution characteristics, supporting their potential use in targeted therapies.