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  • [Radiat Res.] Computational Modeling and Clonogenic Assay for Radioenhancement of Gold Nanoparticles Using 3D Live Cell Images.

    서울의대 / 성원모, 예성준*

  • 출처
    Radiat Res.
  • 등재일
    2018 Nov
  • 저널이슈번호
    190(5):558-564. doi: 10.1667/RR15134.1. Epub 2018 Aug 24.
  • 내용

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    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.

     


    Author information

    Sung W1, Jeong Y2, Kim H1, Jeong H3, Grassberger C4, Jung S1, Ahn GO3, Kim IH1,5, Schuemann J4, Lee K2, Ye SJ1,5,6.
    1
    Programs in a   Biomedical Radiation Sciences, Seoul National University College of Medicine, Seoul, Korea.
    2
    b   Nano Science and Technology, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University College of Medicine, Seoul, Korea.
    3
    d   Division of Integrative Biosciences and Biotechnology, Pohang University of Science and Technology, Pohang, Korea.
    4
    e   Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
    5
    c   Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea.
    6
    f   Robotics Research Laboratory for Extreme Environment, Advanced Institutes of Convergence Technology, Seoul National University, Suwon, Korea.

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