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

Jeremy M.C. Brown; Frederick Currell

doi:10.1186/s12645-016-0025-6

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

Jeremy M.C. Brown, Frederick Currell

Dalton Nuclear Institute

Research output: Contribution to journal › Article › peer-review

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 language	English
Journal	Cancer Nanotechnology
Early online date	31 Jan 2017
DOIs	https://doi.org/10.1186/s12645-016-0025-6
Publication status	Published - 2017

Keywords

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

Research Beacons, Institutes and Platforms

Dalton Nuclear Institute

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10.1186/s12645-016-0025-6Licence: CC BY

Cite this

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title = "A local effect model-based interpolation framework for experimental nanoparticle radiosensitisation data",

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.",

keywords = "Gold nanoparticles Local effect model (LEM) Radiosensitisers Radiotherapy Biological effect modelling",

author = "Brown, {Jeremy M.C.} and Frederick Currell",

year = "2017",

doi = "10.1186/s12645-016-0025-6",

language = "English",

journal = "Cancer Nanotechnology",

issn = "1868-6958",

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AU - Brown, Jeremy M.C.

AU - Currell, Frederick

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

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

U2 - 10.1186/s12645-016-0025-6

DO - 10.1186/s12645-016-0025-6

M3 - Article

SN - 1868-6958

JO - Cancer Nanotechnology

JF - Cancer Nanotechnology

ER -

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

Abstract

Keywords

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