Program Information
Microdosimetic Evaluation of Proton Energy Distributions in the Vicinity of Metal Implants
S Heczko1*, GA McAuley1 , JM Slater1 , A Wroe1,2 , (1) Loma Linda University, Loma Linda, CA, (2) Loma Linda University Medical Center, Loma Linda, CA
Presentations
SU-F-T-126 (Sunday, July 31, 2016) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose:
To evaluate the impact of titanium and surgical stainless steel implants on the microscopic dose distribution in proton treatment plans
Methods:
Geant4 Monte Carlo simulations were used to analyze the microdosimetric distribution of proton radiation in the vicinity of 3.1 mm thick CP Grade 4 titanium (Ti) or 316 stainless steel (SS316) plates in a water phantom. Additional simulations were performed using either water, or water with a density equivalent to the respective metals (Tiwater, SS316water) (to reflect common practice in treatment planning). Implants were placed at the COM of SOBPs of 157 MeV (range of ~15 cm in water) protons with 30 or 60 mm modulation. Primary and secondary particle dose and fluence, frequency-weighted and dose-weighted average lineal energy, average radiation quality factor, dose equivalent and energy deposition histograms in the plate vicinity were compared.
Results:
Preliminary results show frequency-weighted (yf) and dose-weighted lineal energy (yd) was increased downstream of the Ti plate (yf = 3.1 keV/μm; yd = 5.5 keV/μm) and Tiwater (yf = 4.1 keV/μm; yd = 6.8 keV/μm) compared to that of water (ie, the absence of a plate) (yf = 2.5 keV/μm; yd = 4.5 keV/μm). In addition, downstream proton dose deposition was also elevated due to the presence of the Ti plate or Tiwater. The additional dose deposited at higher lineal energy implies that tissues downstream of the plate will receive a higher dose equivalent. Detailed analyses of the Ti, Tiwater, SS316, and SS316water simulations will be presented.
Conclusion:
The presence of high-density materials introduces changes in the spatial distribution of radiation in the vicinity of an implant. Further work quantifying these effects could be incorporated into future treatment planning systems resulting in more accurate treatment plans.
Funding Support, Disclosures, and Conflict of Interest: This project was sponsored with funding from the Department of Defense (DOD # W81XWH-10-2-0192).
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