SU-E-T-494: Variation of Mucosal Dose in Head-And-Neck Radiotherapy: A Phantom Study Using Monte Carlo Simulation
Medical Physics
|May 19, 2017
Summary
Mucosal dose in head-and-neck radiotherapy varies with photon beam energy, angle, and thickness. Optimizing treatment using this dosimetric data can minimize mucosal complications.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Dosimetry
Background:
- Head-and-neck radiotherapy often involves small photon fields, posing challenges for accurate mucosal dose assessment.
- Understanding mucosal dose variations is crucial for predicting and mitigating treatment-related complications.
Purpose of the Study:
- To investigate how mucosal dose is affected by photon beam energy, beam angle, multi-beam configurations, and mucosal thickness in small photon fields used in head-and-neck radiotherapy.
Main Methods:
- Cylindrical phantoms with varying mucosal thickness (1-3 mm) and heterogeneities (bone, air) were used.
- Simulations employed 6 and 18 MV photon beams with varied angles (0°, 90°, 180°) and multi-beam setups (2, 4, 8 beams).
- Monte Carlo simulations (EGSnrc code) calculated doses along the central-beam axis in mucosal tissue.
Main Results:
- At 0° beam angle, mucosal surface doses decreased with increased thickness, more significantly for 6 MV than 18 MV.
- At 180° beam angle, mucosal thickness had an insignificant effect on surface dose.
- Increasing the number of beams reduced the impact of mucosal thickness on dose.
- Heterogeneity effects on mucosal dose varied with beam energy, angle, and thickness.
Conclusions:
- Mucosal dose is significantly influenced by beam energy, angle, multi-beam configuration, and mucosal thickness in small photon fields.
- This dosimetric information is vital for developing optimized head-and-neck intensity-modulated radiotherapy (IMRT) strategies.
- Consideration of these factors can lead to minimized mucosal complications for patients.
Keywords:
DosimetryField sizeIntensity modulated radiation therapyMonte Carlo methodsPhotonsRadiation therapy

