An analytical model for gold nanoparticle radiosensitisation
Pedro Teles

TL;DR
This paper introduces a new analytical model, the $\sigma$-LEM, to predict gold nanoparticle radiosensitization, linking dose enhancement to nanoparticle concentration, beam quality, and nucleus size, validated against experimental data.
Contribution
The paper develops a variance-driven analytical model for gold nanoparticle radiosensitization that aligns with experimental results and offers mechanistic insights.
Findings
Model predicts dose enhancement within 2.5% of experimental data.
Dose enhancement is primarily driven by the alpha component of cell response.
The model simplifies radiobiological outcomes to three controllable variables.
Abstract
In this paper, we derive a variance-driven Local-Effect-Model (-LEM) to predict radiosensitization due to gold nanoparticles (AuNP). Assuming that the number of Au photo-ionisations scales strictly with particle volume , a linear relation between dose-enhancement ratio and concentration is achieved (), in which is a beam-quality and nucleus-size-specific term, and is the concentration in mM. Furthermore, assuming that the cascade energy deposition is log-normally distributed, the enhanced dose in each target voxel can be written as with and width . Assuming a linear-quadratic (LQ) dose response, a relation between cell survival and dose can be derived. Despite no closed form for the log-normal distribution, averaging over the…
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Taxonomy
TopicsFree Radicals and Antioxidants · nanoparticles nucleation surface interactions
