A local effect model-based interpolation framework for experimental nanoparticle radiosensitisation data
| Autor: | Brown, Jeremy M C, Currell, Frederick |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Radiotherapy
Gold nanoparticles Local effect model (LEM) Radiosensitisers Radiotherapy Biological effect modelling Biomedical Engineering Local effect model (LEM) Pharmaceutical Science ResearchInstitutes_Networks_Beacons/dalton_nuclear_institute Oncology Radiosensitisers Gold nanoparticles Dalton Nuclear Institute Physical and Theoretical Chemistry Biological effect modelling |
| Zdroj: | Brown, J M C & Currell, F 2017, ' A local effect model-based interpolation framework for experimental nanoparticle radiosensitisation data ', Cancer Nanotechnology . https://doi.org/10.1186/s12645-016-0025-6 Brown, J M C & Currell, F 2017, ' A local effect model-based interpolation framework for experimental nanoparticle radiosensitisation data ', Cancer Nanotechnology, vol. 8, no. 1 . https://doi.org/10.1186/s12645-016-0025-6 |
| DOI: | 10.1186/s12645-016-0025-6 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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