Stochastic modelling of gold nanoparticle enhancement of dose and reactive species yield for proton therapy /
Files
(Published version)
Date
2020
Authors
Peukert, Dylan David
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
thesis
Citation
Statement of Responsibility
Conference Name
Abstract
Gold nanoparticle (GNP) enhanced proton therapy is a promising treatment offering excellent normal tissue sparing and increased effect within the tumour. In this thesis, a simulation is developed to model the dose and radiolysis yield enhancement from GNPs. The simulation was validated, used to optimise GNP design and investigate the effect of GNP proximity and clustering on enhancement. It was also used to determine how the dose and reactive species from GNP distributions within a cell model affect the cell components and the potential for intercellular effects. The simulations showed that 10-25 nm GNPs with thin coatings maximise the enhancement, that GNP clusters maximise the local yield but reduce the total yield from absorption and that GNP enhancement is targeted, only affecting cells with internalised GNPs. This work will aid future use of GNP enhanced proton therapy.
School/Discipline
University of South Australia. UniSA STEM.
UniSA STEM.
UniSA STEM.
Dissertation Note
Thesis (PhD(Applied Physics))--University of South Australia, 2020.
Provenance
Copyright 2020 Dylan David Peukert.
Description
1 ethesis (xx, 132 pages) :
illustrations (some colour), colour charts.
Includes bibliographical references (pages 125-132)
illustrations (some colour), colour charts.
Includes bibliographical references (pages 125-132)
Access Status
506 0#$fstar $2Unrestricted online access