Monte Carlo model for evaluation of concentration of gold nanoparticle clusters as predictor of effective dose in proton therapy of microscopic tumors

Radio-sensitization with gold nanoparticles (GNPs) is a relatively recent advancement of radiotherapy that determined to increase radiation in the target tumor region. Monte Carlo (MC) simulation well-known method has gained popularity by assisting determining effective dose various tumors. Assessing concentration particles during proton therapy can provide key evaluating efficiency performed treatment. Therefore, this study aimed investigate interconnection between nanoparticle clusters and enhancement microscopic tumors using MC Model. A single cell model size 5 μm was exposed 100 MeV protons region resembling human brain investigated an employing Geant4 toolkit. With each having diameter 15 nm, three-dimensional random distribution developed. Then, for concentrations GNPs accumulated around estimated according factor (DEF), while concentrated on surface GNP clusters. The results showed located at Bragg-peak depended different GNPs. DEF values were found be 1.016, 1.022, 1.026, 1.035, 1.013, 1.000, 0.984 1, 2, 3, 5, 10, 30, 50 mg/ml levels water, respectively. findings also revealed large high yield larger DEFs than lower levels, which may have impact therapy. Specifically, higher 10 mg/ml, significantly those about ∼100 mGy. As benefit increased total must balanced against effect accumulation nanoparticles, current detected reduction regions accumulate concentrations. result, potential radiotherapeutic treatment reduced.