Publication | Closed Access
Treatment planning for heavy-ion radiotherapy: calculation and optimization of biologically effective dose
435
Citations
19
References
2000
Year
Patient Treatment PlanningBiomedical EngineeringTranslational MedicineRadiation Therapy PlanningRadiation OncologyNuclear MedicineLocal Effect ModelRadiologyHealth SciencesAdaptive RadiotherapyRadiation TherapyMedical ImagingProton TherapyDosimetryHeavy-ion RadiotherapyRadiobiologyTreatment PlanningEffective DoseMedicine
LEM is ideally suited for integration into treatment planning systems for active dose‑shaping devices such as the GSI raster scan system. The study proposes a novel heavy‑ion radiotherapy planning approach using LEM to compute biologically effective dose across the entire irradiation volume. The method optimizes single intensity‑modulated fields for a homogeneous biologically effective dose, computing voxel‑wise RBE from patient CT, and has been implemented in a radiobiology‑oriented code since 1995. The approach has been incorporated into the TRiP system and has been successfully used for patient treatment planning since 1997.
We describe a novel approach to treatment planning for heavy-ion radiotherapy based on the local effect model (LEM) which allows us to calculate the biologically effective dose not only for the target region but also for the entire irradiation volume. LEM is ideally suited for use as an integral part of treatment planning code systems for active dose shaping devices like the GSI raster scan system. Thus it has been incorporated into our standard treatment planning system for ion therapy (TRiP). Single intensity modulated fields can be optimized with respect to a homogeneous biologically effective dose. The relative biological effectiveness (RBE) is calculated separately for each voxel of the patient CT. Our radiobiologically oriented code system has been used since 1995 for the planning of irradiation experiments with cell cultures and animals such as rats and minipigs. It has been in regular and successful use for patient treatment planning since 1997.
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