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2022, Number 2

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Medisur 2022; 20 (2)

Simulation of absorbed dose, in molecular therapy, by means of Monte Carlo method using free software GEANT4: GATE

Echevarría TWJ, Manso NW, González GJ, Fragoso NJA
Full text How to cite this article

Language: Spanish
References: 5
Page: 222-231
PDF size: 351.12 Kb.


Key words:

radiotherapy, radiation dosage, absorption, radiation, simulation technique, Monte Carlo Method.

ABSTRACT

Background: there is still no optimal way to determine the dose absorbed by tumors; this lack of knowledge is the reason why the final dose of treatment is unpredictable. For this reason, patients may be receiving doses greater than the minimum required for their correct diagnosis.
Objective: to create a source code for an application project of the GATE program in the simulation of absorbed dose in molecular radiotherapy, by Monte Carlo method, for a Giap phantom.
Methods: the simulation was carried out by the Montecarlo method from modeling the Giap phantom, using the GATE simulation platform. The results obtained were compared with the information reflected in the bibliography on standardized best practices.
Results: a source code implemented in GATE was prepared for the determination of the absorbed dose in molecular radiotherapy. Non-uniform distribution of doses was obtained in a medium with uniform activity and an approximate 2% uncertainty (in correspondence with the values reported in the literature), the results allow to affirm that the dose simulation through the GATE platform is reliable, of little computational expense and highly recommended.
Conclusions: it is advisable to use the GATE platform for the simulation of the calculation of the absorbed dose because it is fast, of low computational cost and reliable.


REFERENCES

  1. D´Arienzo M, Capogni1 M, Smyth V, Cox M, Johansson L, Solc J, et al. Metrological Issues in Molecular Radiotherapy. EPJ Web of Conferences[Internet]. 2014[citado 07/12/2020];77[aprox. 7 p.]. Disponible en: Disponible en: https://www.epj-conferences.org/articles/epjconf/pdf/2014/14/epjconf_icm2014_00022.pdf 1.

  2. Zaidi H, Sgouros G. Therapeutic Applications of Monte Carlo Calculations in Nuclear Medicine. Philadelphia, PA: Institute of Physics, 2002.

  3. Sarrut D, Bardiès M, Boussion N, Freud N, Jan S, Létang JM, et al. A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications. Med Phys. 2014;41(6):064301.

  4. Giap HB, Macey DJ, Bayouth JE, Boyer AL. Validation of a dose-point kernel convolution technique for internal dosimetry. Phys Med Biol. 1995;40(3):365-81.

  5. Menet M, Wojtak D, Menet G. GATE. GEANT4. Aplication for Tomographic Emission. V8.1[Internet]. Cracow: AEG Control Systems and MOSFETs; 2009[citado 07/12/2020]. Disponible en: Disponible en: https://www.gatee.eu/software/gcs 5.




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Medisur. 2022;20