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Plenary Oral Presentations - Macquarie University Hospital

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16 th International Meeting of the Leksell Gamma Knife ® SocietyMarch 2012, Sydney, AustraliaPH-256A treatment planning algorithm optimizing TCP based on adose-rate dependent LQ-modelHåkan Nordström, Karl Danielsson, Pär LidbergElekta Instrument AB Box 7593, SE-10393 StockholmObjective: Planning objectives in the Gamma Knife ® Radio Surgery are in general to have a highcoverage and selectivity of the planning iso-dose to the target as well as low dose to surroundingtissue and organs at risk (OARs). The basic assumption is that there is a strong correlation betweenthe clinical outcome and the physical prescribed dose. As has been pointed out by several authors theradiobiological effect may also be dependent on overall treatment time, a function of both the doseratein tissue and the number of iso-centers used, for which models that have been developed that takethese variables into account. The purpose of this study is to discuss planning based on radiobiologicalmodels rather than physical dosimetric based objectives.Methods: A prototype version of the inverse planning software in Leksell Gamma Plan ® has beendeveloped that optimizes the tumor control probability (TCP) calculated with a modified LQ-modelsuggested by J. Hopewell, B. Millar et al. This model depends explicitly on the dose rate as a functionof time during the treatment delivery. Penalty functions for OARs are also incorporated in the optimization.For several clinical indications TCP-optimized plans have been derived and compared to plansbased on dose metrics (coverage, selectivity and dose gradients). Plans with similar dose metrics butwith different number of iso-centers have been generated to see the influence of dose-rate on TCP.To the test the sensitivity on the outcome the parameter α and β as well as the half-times repair ofsublethal radiation damage have been varied.Results: The suggested method makes it possible to create plans optimized with regards to TCPdetermined by models incorporating dose-rate.TCP optimized plans will in general be different to plans based on optimized dose metrics.Conclusion: A framework has been created that makes it possible to include radiobiological objectivesinto dose plan optimization.65

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