Please use this identifier to cite or link to this item: https://ninho.inca.gov.br/jspui/handle/123456789/12439
Title: A dosimetric study of prostate brachytherapy using Monte Carlo simulations with a voxel phantom, measurements and a comparison with a treatment planning procedure
Authors: Rosa, Luiz Antonio Ribeiro da
Teles, Pedro Peixoto
Zankl, Maria
Vaz, Pedro
Soares, Alessandro Facure Neves de Salles
Pereira Júnior, Pedro Paulo
Santos, Maíra Ribeiro dos
Barros, Silvia
Cardoso, Simone Coutinho
Keywords: Método de Monte Carlo
Monte Carlo Method
Braquiterapia
Brachytherapy
Próstata
Prostate
Neoplasias da Próstata
Prostatic Neoplasms
Software
Dosimetria
Dosimetry
Terapêutica
Therapeutics
Planejamento
Planning
Métodos
Methods
Issue Date: Jul-2015
Publisher: Radiation Protection Dosimetry (2015), Vol. 165, No. 1–4, pp. 482–487
Abstract: In prostate brachytherapy treatments, there is an initial swelling of the prostate of the patient due to an oedema related to the insertion of the seeds. The variation of the prostate volume can lead to variations in the final prescribed dose in treatment planning procedures. As such, it is important to understand their influence for dose optimisation purposes. This work reports on a dosimetric study of the swelling of the prostate in prostate brachytherapy using Monte Carlo simulations. Dosimetric measurements performed on a physical anthropomorphic tissue-equivalent prostate phantom and thermoluminescent dosimeters (TLDs) were used to validate the MC model. Finally the MC model was also used to simulate prostate swelling in a real treatment planning procedure. The obtained results indicate that the parameters mentioned above represent a source of uncertainty in dose assessment in prostate brachytherapy, and can be detrimental to a correct dose evaluation in treatment plannings, and that these parameters can be accurately determined by means of MC simulations with a voxel phantom.
URI: https://ninho.inca.gov.br/jspui/handle/123456789/12439
ISSN: 1742-3406
Appears in Collections:Artigos de Periódicos da área de Detecção Precoce



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