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Phys Med ; 70: 28-38, 2020 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-31954210

RESUMO

PURPOSE: To present a planning strategy for proton pencil-beam scanning when titanium implants need to be crossed by the beam. METHODS: We addressed three issues: the implementation of a CT calibration curve to assign to titanium the correct stopping power; the effect of artefacts on CT images and their reduction by a dedicated algorithm; the differences in dose computation depending on the dose engine, pencil-beam vs Monte-Carlo algorithms. We performed measurement tests on a simple cylinder phantom and on a real implant. These phantoms were irradiated with three geometries (single spots, uniform mono-energetic layer and uniform box), measuring the exit dose either by radio-chromic film or multi-layer ionization chamber. The procedure was then applied on two patients treated for chordoma. RESULTS: We had to set in the calibration curve a mass density equal to 4.37 g/cm3 to saturated Hounsfield Units, in order to have the correct stopping power assigned to titanium in TPS. CT artefact reduction algorithm allowed a better reconstruction of the shape and size of the implant. Monte-Carlo resulted accurate in computing the dose distribution whereas the pencil-beam algorithm failed due to sharp density interfaces between titanium and the surrounding material. Finally, the treatment plans obtained on two patients showed the impact of the dose engine algorithm, with 10-20% differences between pencil-beam and Monte-Carlo in small regions distally to the titanium screws. CONCLUSION: The described combination of CT calibration, artefacts reduction and Monte-Carlo computation provides a reliable methodology to compute dose in patients with titanium implants.


Assuntos
Cordoma/terapia , Próteses e Implantes , Terapia com Prótons/efeitos adversos , Titânio/química , Tomografia Computadorizada por Raios X/métodos , Algoritmos , Artefatos , Calibragem , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Modelos Teóricos , Método de Monte Carlo , Imagens de Fantasmas , Prótons , Dosagem Radioterapêutica , Planejamento da Radioterapia Assistida por Computador/métodos , Radioterapia Assistida por Computador/métodos
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