Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4381
Título: Tissue composition and density impact on the clinical parameters for 125I prostate implants dosimetry
Autor: Oliveira, Susana Maria
Teixeira, Nuno
Fernandes, Lisete
Teles, Pedro
Vieira, Guy
Vaz, Pedro
Palavras-chave: Brachytherapy
Monte Carlo simulation
Prostate cancer
Implant
Data: Nov-2014
Editora: Elsevier
Citação: Oliveira SM, Teixeira NJ, Fernandes L, Teles P, Vieira G, Vaz P. Tissue composition and density impact on the clinical parameters for (125)I prostate implants dosimetry. Phys Med. 2014;30(7):799-808.
Resumo: The MCNPX code was used to calculate the TG-43U1 recommended parameters in water and prostate tissue in order to quantify the dosimetric impact in 30 patients treated with (125)I prostate implants when replacing the TG-43U1 formalism parameters calculated in water by a prostate-like medium in the planning system (PS) and to evaluate the uncertainties associated with Monte Carlo (MC) calculations. The prostate density was obtained from the CT of 100 patients with prostate cancer. The deviations between our results for water and the TG-43U1 consensus dataset values were -2.6% for prostate V100, -13.0% for V150, and -5.8% for D90; -2.0% for rectum V100, and -5.1% for D0.1; -5.0% for urethra D10, and -5.1% for D30. The same differences between our water and prostate results were all under 0.3%. Uncertainties estimations were up to 2.9% for the gL(r) function, 13.4% for the F(r,θ) function and 7.0% for Λ, mainly due to seed geometry uncertainties. Uncertainties in extracting the TG-43U1 parameters in the MC simulations as well as in the literature comparison are of the same order of magnitude as the differences between dose distributions computed for water and prostate-like medium. The selection of the parameters for the PS should be done carefully, as it may considerably affect the dose distributions. The seeds internal geometry uncertainties are a major limiting factor in the MC parameters deduction.
Peer review: yes
URI: http://hdl.handle.net/10400.21/4381
DOI: 10.1016/j.ejmp.2014.06.042
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S112017971400146X#
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