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Accurate proton treatment planning for pencil beam crossing titanium fixation implants
Affiliation:1. Proton Therapy Department, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy;2. Department of Physics, University of Trento, Povo, Italy;3. Trento Institute for Fundamental Physics and Applications (TIFPA), National Institute for Nuclear Physics, (INFN), Povo, Italy;1. Azienda Provinciale per i Servizi Sanitari (APSS) Protontherapy Department, Trento, Italy;2. Università degli studi di Roma ‘La Sapienza’, Roma, Italy;3. INFN-TIFPA, Trento, Italy;1. Università degli Studi di Milano, Milan, Italy;2. Istituto Ortopedico Galeazzi IRCCS, Milan, Italy;1. Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, FL, USA;2. Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA;1. Department of Medical Physics, Greater Poland Cancer Centre, Poznań, Poland;2. Department of Technical Physics, Poznan University of Technology, Poznań, Poland;3. Medical Physics & Clinical Engineering, Nottingham University Hospitals NHS Trust, Nottingham, UK;4. School of Medicine, University of Nottingham, Nottingham, UK;5. Department of Electroradiology, Poznań University of Medical Sciences, Poznań, Poland
Abstract:PurposeTo present a planning strategy for proton pencil-beam scanning when titanium implants need to be crossed by the beam.MethodsWe 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.ResultsWe 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.ConclusionThe described combination of CT calibration, artefacts reduction and Monte-Carlo computation provides a reliable methodology to compute dose in patients with titanium implants.
Keywords:Proton therapy  Pencil beam scanning  Titanium implants  Metal artifacts  Monte Carlo
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