A local effect model-based interpolation framework for experimental nanoparticle radiosensitisation data

Jeremy M C Brown*, Frederick Currell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)
239 Downloads (Pure)

Abstract

A local effect model (LEM)-based framework capable of interpolating nanoparticle-enhanced photon-irradiated clonogenic cell survival fraction measurements as a function of nanoparticle concentration was developed and experimentally benchmarked for gold nanoparticle (AuNP)-doped bovine aortic endothelial cells (BAECs) under superficial kilovoltage X-ray irradiation. For three different superficial kilovoltage X-ray spectra, the BAEC survival fraction response was predicted for two different AuNP concentrations and compared to experimental data. The ability of the developed framework to predict the cell survival fraction trends is analysed and discussed. This developed framework is intended to fill in the existing gaps of individual cell line response as a function of NP concentration under photon irradiation and assist the scientific community in planning future pre-clinical trials of high Z nanoparticle-enhanced photon radiotherapy.

Original languageEnglish
Number of pages10
JournalCancer Nanotechnology
Volume8
Issue number1
DOIs
Publication statusPublished - 31 Jan 2017

Keywords

  • Biological effect modelling
  • Gold nanoparticles
  • Local effect model (LEM)
  • Radiosensitisers
  • Radiotherapy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Oncology
  • Pharmaceutical Science
  • Physical and Theoretical Chemistry

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