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A nanodosimetric model of radiation-induced clustered DNA damage yields

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We present a nanodosimetric model for predicting the yield of double strand breaks (DSBs) and non-DSB clustered damages induced in irradiated DNA. The model uses experimental ionization cluster size distributions measured in a gas model by an ion counting nanodosimeter or, alternatively, distributions simulated by a Monte Carlo track structure code developed to simulate the nanodosimeter. The model is based on a straightforward combinatorial approach translating ionizations, as measured or simulated in a sensitive gas volume, to lesions in a DNA segment of one-two helical turns considered equivalent to the sensitive volume of the nanodosimeter. The two model parameters, corresponding to the probability that a single ion detected by the nanodosimeter corresponds to a single strand break or a single lesion (strand break or base damage) in the equivalent DNA segment, were tuned by fitting the model-predicted yields to previously measured double-strand break and double-strand lesion yields in plasmid DNA irradiated with protons and helium nuclei. Model predictions were also compared to both yield data simulated by the PARTRAC code for protons of a wide range of different energies and experimental DSB and non-DSB clustered DNA damage yield data from the literature. The applicability and limitations of this model in predicting the LET dependence of clustered DNA damage yields are discussed. © 2010 Institute of Physics and Engineering in Medicine.
    Original languageEnglish
    Pages (from-to)761-781
    Number of pages21
    JournalPhysics in Medicine and Biology
    Volume55
    Issue number3
    DOIs
    StatePublished - Feb 7 2010

    ASJC Scopus Subject Areas

    • Radiological and Ultrasound Technology
    • Radiology Nuclear Medicine and imaging

    Keywords

    • Radiometry/instrumentation
    • Reproducibility of Results
    • DNA Damage/radiation effects
    • Helium/adverse effects
    • Probability
    • DNA/radiation effects
    • Plasmids/radiation effects
    • Algorithms
    • DNA Breaks, Double-Stranded/radiation effects
    • Nanotechnology/instrumentation
    • Protons/adverse effects
    • Computer Simulation
    • Models, Genetic
    • Software
    • Monte Carlo Method
    • Saccharomyces cerevisiae

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