4.6 Article

DNA double strand break (DSB) induction and cell survival in iodine-enhanced computed tomography (CT)

期刊

PHYSICS IN MEDICINE AND BIOLOGY
卷 62, 期 15, 页码 6164-6184

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-6560/aa772d

关键词

MCNP; MCDS; iodine-enhanced; gamma-H2AX foci; DSB; RBE; RMF

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A multi-scale Monte Carlo model is proposed to assess the dosimetric and biological impact of iodine-based contrast agents commonly used in computed tomography. As presented, the model integrates the general purpose MCNP6 code system for larger-scale radiation transport and dose assessment with the Monte Carlo damage simulation to determine the subcellular characteristics and spatial distribution of initial DNA damage. The repair-misrepair-fixation model is then used to relate DNA double strand break (DSB) induction to reproductive cell death. Comparisons of measured and modeled changes in reproductive cell survival for ultrasoft characteristic k-shell x-rays (0.25-4.55 keV) up to orthovoltage (200-500 kVp) x-rays indicate that the relative biological effectiveness (RBE) for DSB induction is within a few percent of the RBE for cell survival. Because of the very short range of secondary electrons produced by low energy x-ray interactions with contrast agents, the concentration and subcellular distribution of iodine within and near cellular targets have a significant impact on the estimated absorbed dose and number of DSB produced in the cell nucleus. For some plausible models of the cell-level distribution of contrast agent, the model predicts an increase in RBE-weighted dose (RWD) for the endpoint of DSB induction of 1.22-1.40 for a 5-10 mg ml-1 iodine concentration in blood compared to an RWD increase of 1.07 +/- 0.19 from a recent clinical trial. The modeled RWD of 2.58 +/- 0.03 is also in good agreement with the measured RWD of 2.3 +/- 0.5 for an iodine concentration of 50 mg ml(-1) relative to no iodine. The good agreement between modeled and measured DSB and cell survival estimates provides some confidence that the presented model can be used to accurately assess biological dose for other concentrations of the same or different contrast agents.

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