||A software tool for analysis of linear energy transfer and biologically effective dose in carbon-ion radiotherapy
Kanematsu, Nobuyuki ,
Matsufuji, NaruhiroFukahori, Mai
In treatment planning of carbon-ion radiotherapy (CIRT), the relevant dose includes the weighting of relative biological effectiveness (RBE) of the radiation, which is related to linear energy transfer (LET) varying strikingly in patient body. Since the RBE is evaluated for a reference biological endpoint, there could remain systematic LET dependence in clinical response, depending on disease type. In addition, hypofractionation being pursued in CIRT also affects the clinical response, which is generally estimated by biologically effective dose (BED). Applying recently proposed formalisms, we have developed an in-house software tool ReXiON using programming language Python with package PyDICOM to convert physical and RBE-weighted dose distributions to LET and BED distributions for a treatment plan. We applied the tool to realistic examples to demonstrate its potential for the investigation of the LET and fractionation effects, which would generally interest the CIRT community. Although the tool has been fully configured for our own use, it is basically a simple script and can be easily adjusted for others by themselves. It will potentially be useful for deeper understanding of clinical radiobiology.
57th Annual Conference of the Particle Therapy Co-Operative Group and 5th Annual PTCOG-NA Meeting