| Literature DB >> 30142031 |
Wonmo Sung1, Yoon Jeong2, Hyejin Kim1, Hoibin Jeong3, Clemens Grassberger4, Seongmoon Jung1, G-One Ahn3, Il Han Kim1,5, Jan Schuemann4, Kangwon Lee2, Sung-Joon Ye1,5,6.
Abstract
Radioenhancement of gold nanoparticles (GNPs) has shown great potential for increasing the therapeutic efficiency of radiotherapy. Here we report on a computational model of radiation response, which was developed to predict the survival curves of breast cancer cells incubated with GNPs. The amount of GNP uptake was estimated using inductively coupled plasma-mass spectroscopy, and the three-dimensional (3D) intracellular distribution of GNPs was obtained using optical diffraction tomography. The developed computational model utilized the 3D live cell imaging and recent Monte Carlo techniques to calculate microscopic dose distributions within the cell. Clonogenic assays with and without GNPs were performed to estimate the radioenhancement for 150 kVp X rays in terms of cell survival fractions. Measured cell survival fractions were comparable with the computational model.Entities:
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Year: 2018 PMID： 30142031 PMCID： PMC6258025 DOI： 10.1667/RR15134.1
Source DB: PubMed Journal: Radiat Res ISSN： 0033-7587 Impact factor: 2.841