Literature DB >> 28703119

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

Seth W Streitmatter1, Robert D Stewart, Peter A Jenkins, Tatjana Jevremovic.   

Abstract

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 sub-cellular 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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Year:  2017        PMID: 28703119     DOI: 10.1088/1361-6560/aa772d

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

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Authors:  Robert D Stewart
Journal:  Int J Part Ther       Date:  2018-09-21

2.  Mechanistic Modeling of the Relative Biological Effectiveness of Boron Neutron Capture Therapy.

Authors:  Seth W Streitmatter; Robert D Stewart; Gregory Moffitt; Tatjana Jevremovic
Journal:  Cells       Date:  2020-10-15       Impact factor: 6.600

3.  A New Insight on the Radioprotective Potential of Epsilon-Aminocaproic Acid.

Authors:  Timur Saliev; Dinara Baiskhanova; Dmitriy Beznosko; Dinara Begimbetova; Bauyrzhan Umbayev; Talgat Nurgozhin; Ildar Fakhradiyev; Baimakhan Tanabayev; Dainius Pavalkis
Journal:  Medicina (Kaunas)       Date:  2020-11-30       Impact factor: 2.430

4.  Monte Carlo Simulation of Double-Strand Break Induction and Conversion after Ultrasoft X-rays Irradiation.

Authors:  Ya-Yun Hsiao; Fang-Hsin Chen; Chun-Chieh Chan; Ching-Chih Tsai
Journal:  Int J Mol Sci       Date:  2021-10-28       Impact factor: 5.923

5.  The Effect of Hypoxia on Relative Biological Effectiveness and Oxygen Enhancement Ratio for Cells Irradiated with Grenz Rays.

Authors:  Chun-Chieh Chan; Fang-Hsin Chen; Kuang-Lung Hsueh; Ya-Yun Hsiao
Journal:  Cancers (Basel)       Date:  2022-02-28       Impact factor: 6.639

6.  A simple model for calculating relative biological effectiveness of X-rays and gamma radiation in cell survival.

Authors:  Oleg N Vassiliev; Christine B Peterson; David R Grosshans; Radhe Mohan
Journal:  Br J Radiol       Date:  2020-06-04       Impact factor: 3.039

  6 in total

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