cellular s-value of beta emitter radionuclide’s determined using geant4 monte carlo toolbox, comparison to mird s-values
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abstract
introduction: spatial dose distribution around the radionuclides sources is required for optimized treatment planning in radioimmunotherapy. at present, the main source of data for cellular dosimetry is the s-values provided by mird. however, the mird s-values have been calculated based on analytical formula in which no electrons straggling is taken to account. in this study, we used geant4-dna monte carlo toolbox to calculate s-values and the results were compared to the corresponding mird data. methods:similar to mird cell model, two concentric spheres representing the cell and its nucleus were used as the geometry of simulation. the cells were assumed to be made of water. cellular s-values were calculated for three beta emitter radionuclides 131i, 90y and 177lu that are widely used in radioimmunotherapy. few lines of code in c++ were added into geant4-dna codes to automatically calculate the s-values and transfer data into excel files. results:the differences between two series of data were analyzed using pearson’s correlation and bland-altman curves. we observed high correlation (r2>0.99) between two series of data for self-absorption; however, the agreement was very weak and wilcoxon signed rank test showed significant difference (p-value
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Cellular S-value of beta emitter radionuclide’s determined using Geant4 Monte Carlo toolbox, comparison to MIRD S-values
Introduction: Spatial dose distribution around the radionuclides sources is required for optimized treatment planning in radioimmunotherapy. At present, the main source of data for cellular dosimetry is the s-values provided by MIRD. However, the MIRD s-values have been calculated based on analytical formula in which no electrons straggling is taken to account. In this study, we used Geant4-DNA...
full textCellular S-value of beta emitter radionuclide’s determined using Geant4 Monte Carlo toolbox, comparison to MIRD S-values
Introduction: Spatial dose distribution around the radionuclides sources is required for optimized treatment planning in radioimmunotherapy. At present, the main source of data for cellular dosimetry is the s-values provided by MIRD. However, the MIRD s-values have been calculated based on analytical formula in which no electrons straggling is taken to account. In this study, we used Geant4-DNA...
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Currently, the most eeective constructions of low-discrepancy point sets and sequences are based on the theory of (t; m; s)-nets and (t; s)-sequences. In this work we discuss parallelization techniques for quasi-Monte Carlo integration using (t; s)-sequences. We show that leapfrog parallelization may be very dangerous whereas block-based paral-lelization turns out to be robust.
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Journal title:
iranian journal of nuclear medicinePublisher: tehran university of medical sciences
ISSN 1681-2824
volume 24
issue 1 2016
Keywords
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