Investigating the effect of dental implant materials with different densities on radiotherapy dose distribution using Monte-Carlo simulation and pencil beam convolution algorithm

Dentomaxillofac Radiol. 2019 May;48(4):20180267. doi: 10.1259/dmfr.20180267. Epub 2019 Feb 1.

Abstract

Objectives: The aim of this study was to investigate the effect of dental implant materials with different physical densities on dose distribution for head and neck cancer radiotherapy planning.

Methods: Titanium (Ti), Titanium alloy (Ti-6Al-4V), Zirconia (Y-TZP), Zirconium oxide (ZrO2), Alumina (Al2O3) and polyetheretherketone (PEEK) dental implant materials were used for determination of implant material effect on dose distribution. Dental implant effect was investigated by using pencil beam convolution (PBC) algorithm of Eclipse treatment planning systems (TPS) and Monte Carlo (MC) simulation technique. 6 MV photon beam of the Varian 2300 C/D linear accelerator was simulated by EGSnrc-based BEAMnrc MC code system.

Results: Reasonable consistency was determined for percentage depth dose (PDD) curves between MC simulation and water phantom measurements at 6.4 MeV initial electron energy. The consistency between modelled linear accelerator PDD curve calculations and water-phantom PDD measurements were compatible within 1 % range. The dose increase in front of the dental implant calculated by MC simulation is in the range of 0.4-20.2%. We found by MC and PBC calculations that the differences in dose increase in front of the dental implant materials is in the range of 0.1-17.2% and is dependent on the physical density of the dental implant.

Conclusions: Dose increase for Zirconia was noted to be maximum while PEEK implant dose increase was minimum among the whole dental implant materials studied. This study revealed that the Eclipse TPS PBC algorithm could not accurately estimate the backscatter radiation from dental implant materials.

Keywords: Monte Carlo; dental Implant; pencil beam convolution algorithm; radiotherapy.

MeSH terms

  • Algorithms
  • Computer Simulation
  • Dental Implants*
  • Dental Materials
  • Head and Neck Neoplasms* / radiotherapy
  • Humans
  • Monte Carlo Method
  • Phantoms, Imaging
  • Radiotherapy Dosage
  • Radiotherapy Planning, Computer-Assisted*

Substances

  • Dental Implants
  • Dental Materials