ESTRO 2025 - Abstract Book

S2919

Physics - Dose prediction, optimisation and applications of photon and electron planning

ESTRO 2025

deviations from the clinical criteria were below 2.4%. Visual comparison of predicted and planned dose distributions showed similar characteristics although the predictions appeared to be slightly blurred (Figure 1).

Conclusion: Our proposed pipeline demonstrated the feasibility of generating optimized plans using DL dose prediction suitable for clinical use in MRgRT workflows. The pipeline demonstrated adequate performance, aligning closely with clinical practice standards [1]. This approach shows promise for streamlining adaptive planning and enhancing the efficiency of MRgRT.

Keywords: MR-guided RT, Adaptive RT

References: [1] Tengler B, Künzel LA, Hagmüller M, Mönnich D, Boeke S, Wegener D, et al. Full daily re-optimization improves plan quality during online adaptive radiotherapy. Phys Imaging Radiat Oncol. 2024:100534. doi: 10.1016/j.phro.2024.100534

4108

Digital Poster Uncertainty analysis in the delivery of microwave hyperthermia treatments for head and neck cancer using polynomial chaos expansion Roel C Kwakernaak 1 , Massimiliano Zanoli 1 , Zoltan Perko 2 , Sergio Curto 1 1 Radiotherapy, Erasmus Medical Center, Rotterdam, Netherlands. 2 Radiation Science and Technology, Technical University Delft, Delft, Netherlands Purpose/Objective: Hyperthermia, the elevation of tumor temperature up to 44°C, is a clinically used potent adjunctive treatment that enhances the effect of radiotherapy. In a study conducted between 2014 and 2018, 22 patients with head and neck (H&N) cancer were treated with hyperthermia plus radiotherapy at the Erasmus Medical Center using the HyperCollar3D (HC3D). The results from this feasibility study and a subsequent retrospective evaluation were promising [1, 2]. Since the HC3D is the only dedicated H&N hyperthermia applicator, literature regarding the robustness of treatment planning versus delivery in this anatomical area is scarce. To assess the impact of uncertainties, we retrospectively studied the response of treatment delivery to variations in tissue properties and in patient positioning.