Flattening Filter Free photon beams for treatment of early-stage lung cancer: an investigation of peripheral dose

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dc.contributor.authorMader, Joanna E.
dc.contributor.supervisorMestrovic, Ante
dc.contributor.supervisorJirasek, Andrew
dc.date.accessioned2014-12-23T19:56:50Z
dc.date.available2014-12-23T19:56:50Z
dc.date.copyright2014en_US
dc.date.issued2014-12-23
dc.degree.departmentDepartment of Physics and Astronomyen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractThe purpose of this thesis was to evaluate and compare the peripheral dose associated with VMAT lung SABR treatments for 10X, 6X, and 10X-FFF beams. Flattening Filter Free (FFF) radiotherapy photon beams exhibit high dose rates as compared to standard flattened photon beams. The high dose rates available with FFF beams make them ideal for high dose treatments, such as Volumetric Modulated Arc Therapy (VMAT)-delivery lung Stereotactic Ablative Radiotherapy (SABR), where treatment delivery is longer than that of standard treatments. They are also known to show reductions in treatment head scatter, multi-leaf collimator (MLC) transmission and treatment head leakage radiation, compared to flattened beams. The use of FFF beams for VMAT lung SABR has been shown to significantly reduce treatment delivery time, while maintaining plan quality and accuracy. Another potential advantage of the use of FFF beams for VMAT lung SABR is the reduction in peripheral (out-of-field) dose, due mainly to the reduction in head scatter and treatment head leakage. The peripheral doses delivered by VMAT Lung SABR treatments using 10X-FFF, 10X and 6X were investigated for the Varian TrueBeam medical linear accelerator. There were three components to this investigation; (1) Ion chamber measurement of peripheral dose for static open, static MLC and dynamic MLC fields, (2) Validation of Monte Carlo, Acuros XB and AAA algorithms for peripheral dose prediction, and (3) Evaluation of peripheral doses for VMAT lung SABR treatments using the validated Monte Carlo model. Measurements of out-of field doses for static open, static MLC and dynamic MLC fields showed that 10X-FFF delivered peripheral doses in the range of 30% to 50%, 3% to 40% and 5% to 20% lower than the peripheral doses for flattened beams. Dose calculation algorithm validation showed that AAA and Acuros XB significantly under predicted the dose in the peripheral region. Monte Carlo was found to be the most accurate dose calculation algorithm for peripheral dose prediction. The VMAT lung SABR dose distributions were calculated for both static gantry delivery and arc delivery using the validated Monte Carlo model. For static gantry Monte Carlo simulation, 10X-FFF was found to show a reduction in peripheral dose in the range of 7% to 21% and 7% to 17% when compared to 6X and 10X. For arc delivery Monte Carlo simulation, 10X-FFF was found to deliver a statistically significant reduction in mean peripheral dose compared to 6X in four of the six cases, and was not found to deliver a statistically significant reduction in mean peripheral dose compared to 10X in any of the six cases. For this type of VMAT lung SABR treatment, 10X-FFF offers a reduction in peripheral dose over 6X. In terms of the benefits of using 10X-FFF for this type of treatment, the reduction in peripheral dose is added to the already-established reduction in treatment times.en_US
dc.description.proquestcode0756en_US
dc.description.proquestcode0574en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/5806
dc.language.isoenen_US
dc.rights.tempAvailable to the World Wide Weben_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectFlattening Filter Freeen_US
dc.subjectRadiation Therapyen_US
dc.subjectRadiotherapyen_US
dc.subjectLung Canceren_US
dc.subjectNon-Small Cell Lung Carcinomaen_US
dc.subjectPeripheral Doseen_US
dc.subjectVMAT Lung SABRen_US
dc.titleFlattening Filter Free photon beams for treatment of early-stage lung cancer: an investigation of peripheral doseen_US
dc.typeThesisen_US

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