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dc.contributor.authorAdibi, Ali
dc.contributor.authorSalari, Ehsan
dc.date.accessioned2018-02-23T15:27:52Z
dc.date.available2018-02-23T15:27:52Z
dc.date.issued2018-02-06
dc.identifier.citationAli Adibi and Ehsan Salari 2018 Phys. Med. Biol. 63 035040en_US
dc.identifier.issn0031-9155
dc.identifier.otherWOS:000424367100002
dc.identifier.urihttp://dx.doi.org/10.1088/1361-6560/aaa729
dc.identifier.urihttp://hdl.handle.net/10057/14562
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis paper aims at quantifying the extent of potential therapeutic gain, measured using biologically effective dose (BED), that can be achieved by altering the radiation dose distribution over treatment sessions in fractionated radiotherapy. To that end, a spatiotemporally integrated planning approach is developed, where the spatial and temporal dose modulations are optimized simultaneously. The concept of equivalent uniform BED (EUBED) is used to quantify and compare the clinical quality of spatiotemporally heterogeneous dose distributions in target and critical structures. This gives rise to a large-scale non-convex treatment-plan optimization problem, which is solved using global optimization techniques. The proposed spatiotemporal planning approach is tested on two stylized cancer cases resembling two different tumor sites and sensitivity analysis is performed for radiobiological and EUBED parameters. Numerical results validate that spatiotemporal plans are capable of delivering a larger BED to the target volume without increasing the BED in critical structures compared to conventional time-invariant plans. In particular, this additional gain is attributed to the irradiation of different regions of the target volume at different treatment sessions. Additionally, the trade-off between the potential therapeutic gain and the number of distinct dose distributions is quantified, which suggests a diminishing marginal gain as the number of dose distributions increases.en_US
dc.description.sponsorshipNational Science Foundation through Award #1662819. The authors would like to thank Thomas Bortfeld, David Papp, and Jan Unkelbach for helpful discussions. The authors would also like to thank the Statistical and Applied Mathematical Sciences Institute for their partial support through NSF Award #DMS-1127914.en_US
dc.language.isoen_USen_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofseriesPhysics in Medicine & Biology;v.63:no.3
dc.subjectSpatiotemporal planningen_US
dc.subjectEUBEDen_US
dc.subjectGlobal optimizationen_US
dc.subjectIntensity-modulated radiotherapyen_US
dc.titleSpatiotemporal radiotherapy planning using a global optimization approachen_US
dc.typeArticleen_US
dc.rights.holder© Copyright 2018 IOP Publishingen_US


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