Monte Carlo evaluation of a treatment planning system for helical tomotherapy in an anthropomorphic heterogeneous phantom and for clinical treatment plans

Helical tomotherapy is an increasingly common form of intensity modulated radiation therapy that allows for image guided adaptive radiotherapy. Its treatment planning system (TPS) uses a convolution superposition algorithm for dose distribution calculations. The accuracy of this algorithm in the pre...

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Veröffentlicht in:Medical physics (Lancaster) 2008-12, Vol.35 (12), p.5366-5374
Hauptverfasser: Zhao, Ying-Li, Mackenzie, M., Kirkby, C., Fallone, B. G.
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container_issue 12
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container_title Medical physics (Lancaster)
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creator Zhao, Ying-Li
Mackenzie, M.
Kirkby, C.
Fallone, B. G.
description Helical tomotherapy is an increasingly common form of intensity modulated radiation therapy that allows for image guided adaptive radiotherapy. Its treatment planning system (TPS) uses a convolution superposition algorithm for dose distribution calculations. The accuracy of this algorithm in the presence of heterogeneities was evaluated against Monte Carlo (MC) calculations and measurements. This work performed BEAMnrc-and DOSXYZnrc-based MC dose calculations of tomotherapy deliveries to a CIRS anthropomorphic heterogeneous phantom with typical clinical inverse planning and delivery settings. Point measurements with A1SL ion chambers and relative measurements with Kodak EDR2 film were carried out in the phantom. The experimental results were used to evaluate both the TPS and MC dose calculations. Furthermore, the dose distribution for a clinical head-and-neck cancer plan was calculated on the TPS and MC systems. The results support this MC system as a viable option for the accurate simulation of the tomotherapy process in the presence of heterogeneities where direct measurement may not be practical. Ion chamber measurements in the CIRS phantom suggested the TPS has an average relative difference of 2.3%, with the largest difference being − 4.1 % in one of the organs at risk. The MC system accurately predicted the dose to these measurement points within statistical uncertainty. The film measurements in the CIRS phantom demonstrated 90.7% (of pixels) agreed with the MC system using a ± 3 % ∕ 3 mm acceptance criteria, where only 50.3% agreed with the TPS. In the clinical head-and-neck cancer plan evaluation where MC served as a reference against which to compare the TPS result, an average of 92.7% of the voxels within volumes of interest passed a 3 % ∕ 3 mm criteria. The PTV54 region showed the worst agreement with 85.4% of the volume passing the 3 % ∕ 3 mm criteria. In general, the ± 3 % ∕ 3 mm criterion was found to be a challenge for the TPS in the presence of lung inhomogeneity.
doi_str_mv 10.1118/1.3002316
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The MC system accurately predicted the dose to these measurement points within statistical uncertainty. The film measurements in the CIRS phantom demonstrated 90.7% (of pixels) agreed with the MC system using a ± 3 % ∕ 3 mm acceptance criteria, where only 50.3% agreed with the TPS. In the clinical head-and-neck cancer plan evaluation where MC served as a reference against which to compare the TPS result, an average of 92.7% of the voxels within volumes of interest passed a 3 % ∕ 3 mm criteria. The PTV54 region showed the worst agreement with 85.4% of the volume passing the 3 % ∕ 3 mm criteria. In general, the ± 3 % ∕ 3 mm criterion was found to be a challenge for the TPS in the presence of lung inhomogeneity.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>19175096</pmid><doi>10.1118/1.3002316</doi><tpages>9</tpages></addata></record>
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source MEDLINE; Wiley Online Library All Journals; Alma/SFX Local Collection
subjects Algorithms
biology computing
Cancer
Computed tomography
Computer Simulation
convolution∕superposition
dosimetry
Dosimetry/exposure assessment
EDR2
Head and Neck Neoplasms - radiotherapy
heterogeneous
Humans
Intensity modulated radiation therapy
Ionization chambers
Ions
lung
Lungs
Medical imaging
Medical treatment planning
Modeling, computer simulation of cell processes
Monte Carlo
Monte Carlo calculations
Monte Carlo Method
Monte Carlo methods
optical tomography
patient treatment
phantoms
Phantoms, Imaging
radiation therapy
Radiotherapy Planning, Computer-Assisted - methods
Radiotherapy, Intensity-Modulated - methods
Reproducibility of Results
Therapeutic applications
Thorax - pathology
Tissues
tomotherapy
TPS verification
X-Ray Film
title Monte Carlo evaluation of a treatment planning system for helical tomotherapy in an anthropomorphic heterogeneous phantom and for clinical treatment plans
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