Impact of metal nanoparticles on cell survival predicted by the local effect model for cells in suspension and tissue. Part 1: Theoretical framework
Hans Rabus, Leo Thomas

TL;DR
This paper develops a theoretical framework using analytical weighting functions to predict cell survival after irradiation with metal nanoparticles, considering various cell arrangements and nanoparticle uptake scenarios.
Contribution
It introduces a versatile method for calculating dose distributions around MNPs, improving predictions of cell survival in different tissue configurations.
Findings
Complete MNP uptake simplifies modeling to isolated cells.
Cell packing density affects dose estimates by up to 30%.
The weighting function enhances the assessment of MNP-mediated radiotherapy effects.
Abstract
This work investigates the change in cell survival predicted by the local effect model (LEM) for an irradiated cell containing metal nanoparticles (MNPs) depending on the distribution of neighboring cells and the uptake of MNPs into the cells. In this first part of the paper, the theoretical framework is described, which is based on analytical weighting functions for the energy deposition around a single metal nanoparticle and radially symmetric distributions of MNPs. The weighting functions allow calculation of the radial profile of the absorbed dose in the cell nucleus as well as the mean dose and the mean square of the dose in the nucleus. The latter two quantities determine cell survival according to the LEM. The weighting functions are applied to isolated cells in a localized MNP distribution, cells in solution, and densely packed cells in tissue. It is shown that only for the…
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Taxonomy
TopicsNanoparticles: synthesis and applications
