A mechanistic model of high dose irradiation damage

Siam, Fuaada Mohd; Grinfeld, Michael; Bahar, Arifah; Rahman, Haliza Abdul; Ahmad, Hayatunnufus; Johar, Farhana

doi:10.1016/j.matcom.2016.02.007

Cited by 9 publications

(17 citation statements)

References 30 publications

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“…A few mathematical models have been derived to study the effect of ionizing radiation [14,15,16]. One of them is a mathematical model by Siam et al [8]. Their work described the population dynamic of cells following ionizing radiation.…”

Section: Modelling Radiation Responsesmentioning

confidence: 99%

“…In 2018, Siam et al [8] designed a structured population model for double-strand breaks (DSBs) and misrepair cells following ionizing radiation. This model explained the cells dynamics process of the cell population following ionizing radiation which are death rate, repair rate and the probability of correctly cell`s repair.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, this study aims at developing a mathematical relation which represents the physical interaction between ionizing radiation and radiosensitizer and dose deposited by radiosensitizer. For this purpose, we modify an existing radiation effect model by Siam et al [8]. At the end of the study, the number of cells survived following these combination agents is obtained, followed by performing parameter estimation and sensitivity analysis is carried out to identify which parameter influences the model output.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Ionizing Radiation Effects Modelling in Cells Population with Gold Nanoparticles

Rashid

Siam

Maan³

et al. 2021

Mal. J. Fund. Appl. Sci.

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Radiosensitizer such as gold nanoparticle is a promising agent to be used in radiotherapy to increase the number of cancer cell death. Gold nanoparticle increases the production of the secondary electron after being hit by primary radiation that will cause DNA damage. The gold nanoparticle can be targeted to specific cancer cells and therefore reduce damage to the healthy nearby cell. Thus, nanoparticles will elevate the efficacy of radiation treatment without delivering a high radiation dose that will damage the organ at risk. Therefore, this paper aimed to study the effects of radiosensitizer on radiation therapy. The study was done by incorporating the function of dose deposited by gold nanoparticles into the existing model of ionizing radiation effects. The model was mathematically described using Ordinary Differential Equations (ODEs). The simulation results were fitted to the Linear Quadratic (LQ) formulation to give the ratio for a/b. Next, the parameter estimation and sensitivity analysis of the model are carried out using experimental data of HeLa cell with the aid of the MATLAB programming. The estimated parameter values can explain the radiobiology process, which can support the result of the experimental design. The result showed that the sum-squared error (SSE) between simulation data and experimental data obtained is 0.015 which indicates an excellent fit to the experimental data. Thus, this model is in line with the experimental result. The model is able to explain the dynamics process of ionizing radiation effects with gold nanoparticles on the cell population.

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Section: Modelling Radiation Responsesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ionizing Radiation Effects Modelling in Cells Population with Gold Nanoparticles

Rashid

Siam

Maan³

et al. 2021

Mal. J. Fund. Appl. Sci.

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“…We first recall Siam et al [27] model that represents the damage effects on cells after hit by irradiation as the DSBs count in each cell. The mean of DSBs count is described by Poisson distribution with mean, µ1 = δD where δ is the cell's radiosensitivity (DSBs • Gy-1) and D is irradiation dose.…”

Section: B the Targeted Model Of Irradiation Damagementioning

confidence: 99%

Modelling a Saturating Function of Signals Released in Irradiation Bystander Effects

Siam¹,

Nasir²,

Rashid³

2020

IJETT

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Mechanisms of mammalian cell killing effects produced by irradiation are complex processes and it is vitally importance to understand the phenomenon. In this research, models of survival fraction of targeted and bystander cells are employed, with modification on the signaling factors. The models are a type of two-dimensional vector that structure a population cell depends on the double-strand breaks (DSBs) and mis-repair DSBs count (k and m, respectively). Data fitting and parameter estimation are used as model calibration. Then, by using the estimated parameters, the model simulation shows a good fit against the experimental data with a sum of absolute error (SAE) of 0.0355 and 0.1542, respectively. These errors confirmed that the models are successfully depicted the actual measurement of targeted and bystander effects.

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“…However, it is debated whether the LQ model is appropriate to describe biological responses to high dose per fraction treatments such as radiosurgery, which can involve doses of up to 20 Gy in a single fraction (Kirkpatrick et al 2009). As a result, more complex mathematical models have been proposed to account for potentially different biological effects of high dose RT, which include mechanisms of DNA damage and repair kinetics (Siam et al 2016;Tariq et al 2015;Watanabe et al 2016). …”

Section: Tumor Growth Lawsmentioning

confidence: 99%

Mathematical Modeling in Radiation Oncology

Rockne

Frankel

2017

Cancer Treatment and Research

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The goal of precision medicine is to tailor treatments to the individual patient's disease. In radiation oncology, this means tailoring the dose to the boundaries of the tumor, but also to the unique biology of the patient's disease. In recent years, mathematical modeling has made inroads toward achieving these goals, through the optimization of radiation dose based on radiobiological parameters for individual patients. In this chapter, we review recent literature of mathematical models of tumor growth and response to radiation therapy (RT) and discuss the clinical utility of mathematical models, as well as provide a forward-looking perspective into how mathematical models may enhance patient outcomes through well-designed clinical trials.

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A mechanistic model of high dose irradiation damage

Cited by 9 publications

References 30 publications

Ionizing Radiation Effects Modelling in Cells Population with Gold Nanoparticles

Ionizing Radiation Effects Modelling in Cells Population with Gold Nanoparticles

Modelling a Saturating Function of Signals Released in Irradiation Bystander Effects

Mathematical Modeling in Radiation Oncology

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