ESTRO 2024 - Abstract Book

S3586

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

ESTRO 2024

in avoiding the creation of suboptimal plans and can be useful tools for QA audit and tutorial/education process. The good linear fitting between PTV radius and isodose lines radii, can be useful to automatically generate shell constraints and consequently partially automate plan optimization. Our analysis validated the feasibility of using multicenter data to create easy-to-use generalizable predictive models for CK intracranial SRS/SRT planning.

Keywords: Brain SRS, predictive model, multicenter

References:

1.T.A. Reynolds et.al. Int J Radiation Oncol Biol Phys, Vol. 106, No. 3, pp. 604e611, 2020

2.S. Yu et.al. J Appl Clin Med Phys 2021; 22:3:48–5

3.The study was supported by an AIRC grant (IG23150)

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Digital Poster

Knowledge-based treatment planning for prostate with different beam energies and treatment machines

Tamás Pócza 1,2 , Mercédesz Gerdán 1 , Csilla Pesznyák 1,2 , Zoltán Takácsi-Nagy 1,3 , Tibor Major 1,3

1 National Institute of Oncology, Centre of Radiotherapy, Budapest, Hungary. 2 Budapest University of Technology and Economics, Institute of Nuclear Techniques, Budapest, Hungary. 3 Semmelweis University, Department of Oncology, Budapest, Hungary

Purpose/Objective:

The knowledge-based treatment planning (KBTP) plays an important role in modern radiotherapy. Teletherapy plans of prostate cancer also can be created with KBTP [1]. The applicability of KBTP model for different energies and machines has to be verified. Our goal was to examine this transition in this study.

Material/Methods:

11 patients with locally advanced prostate tumour were selected, who had previously undergone teletherapy irradiation. The patients were treated in 28 fractions with simultaneous integrated boost technique, 2.5 Gy for prostate gland (PROS), additionally 2.1 Gy for proximal part of vesical seminals (PVS) and 1.8 Gy for pelvic lymph nodes (LN) [2]. Alternative plans were created for these patients using Varian RapidPlan KBTP. The plans were created for Varian Truebeam machines with 10 MV (TB-10MV) and 6 MV-FFF (TB-6FFF) beam energies and for Varian Halcyon with 6 MV-FFF energy (H-6FFF). The TB-10MV plans were considered as reference. Dosimetric parameters of target volumes, rectum, bladder, bowel bag, penile bulb, anus and whole-body contour (BODY) were collected. The collected data were statistically tested using SPSS 27.0 software, paired sample t tests and Wilcoxon signed-rank tests were applied.