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Stochastic modelling of gold nanoparticle enhancement of dose and reactive species yield for proton therapy /

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dc.contributor.authorPeukert, Dylan David
dc.contributor.schoolUniversity of South Australia. UniSA STEM.
dc.contributor.schoolUniSA STEM.
dc.date.issued2020
dc.description1 ethesis (xx, 132 pages) :
dc.descriptionillustrations (some colour), colour charts.
dc.descriptionIncludes bibliographical references (pages 125-132)
dc.description.abstractGold 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.
dc.description.dissertationThesis (PhD(Applied Physics))--University of South Australia, 2020.
dc.identifier.urihttps://hdl.handle.net/11541.2/144518
dc.language.isoen
dc.provenanceCopyright 2020 Dylan David Peukert.
dc.subjectnanoparticle radiosensitisation;proton therapy;radiolysis
dc.subject.lcshCancer
dc.subject.lcshNanoparticles
dc.subject.lcshProton beams
dc.titleStochastic modelling of gold nanoparticle enhancement of dose and reactive species yield for proton therapy /
dc.typethesis
dcterms.accessRights506 0#$fstar $2Unrestricted online access
ror.fileinfo12204859640001831 13204859630001831 Peukert, Dylan - Thesis
ror.mmsid9916444611301831

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