Session

Overview: State-of-the-art radiotherapy optimization and plan evaluation is based on dose-volume indices rather than radiobiological metrics. Radiotherapy planning may potentially be improved by including tumor control probability (TCP) and normal tissue tolerance probability (NTCP) modelling, also by incorporating recent advances in functional imaging. In this symposium, a brief review of TCP and NTCP models will be given alongside optimization based on such models. Clinical experience with NTCP-guided treatment planning is discussed. For TCP modelling, how to account for spatial tumor heterogeneity and temporal dynamics will be presented together with employing patient-specific model parameters. Moreover, functional imaging for boost volume definition and dose painting will be highlighted. Here, the robustness of the image metrics and the use of functional imaging to monitor treatment response will be reported. Lastly, adaptation to functional changes will be elucidated. Examples from head and neck and lung cancer will be provided throughout the symposium.