ESTRO 2024 - Abstract Book

S3701

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

ESTRO 2024

Conclusion:

The presented template-based treatment planning workflow has shown feasibility and comparable performance in a dosimetric and a radiobiological evaluation with respect to manual planning. The developed framework contributes to the advancement in treatment strategies for biologically-guided radiotherapy, which might hold the potential for improving treatment outcomes.

Keywords: optimisation, functional imaging, TCP

References:

[1] Toma-Dasu, I., et al. Dose prescription and treatment planning based on FMISO-PET hypoxia. Acta Oncologica, 2012, vol. 51, no 2, p. 222-230.

[2] Lazzeroni, M., et al. OC-0627 TCP predictions of an automated dose painting strategy based on FDG and FMISO PET imaging. Radiotherapy and Oncology, 2022, vol. 170, p. S556-S557.

[3] Semenenko, V. A.; LI, X. A. Lyman–Kutcher–Burman NTCP model parameters for radiation pneumonitis and xerostomia based on combined analysis of published clinical data. Physics in Medicine & Biology, 2008, vol. 53, no 3, p. 737.

2739

Poster Discussion

Dosimetrically motivated collimator angle optimization for SRS of multiple brain metastases

Nathan Torelli, Liming Gao, Jan Unkelbach

University Hospital Zurich and University of Zurich, Department of Radiation Oncology, Zurich, Switzerland