ESTRO 2024 - Abstract Book

S5022

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2024

[3] S. Bakas, M. Reyes, A. Jakab, S. Bauer, M. Rempfler, and Etal, “Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge,” Nov. 2018, doi: https://doi.org/10.48550/arXiv.1811.02629.

[4] J. C. L. Alfonso et al., “The biology and mathematical modelling of glioma invasion: a review,” J R Soc Interface, vol. 14, no. 136, Nov. 2017, doi: 10.1098/RSIF.2017.0490.

[5] T. Zhou et al., “M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12262 LNCS, pp. 221–231, 2020, doi: 10.1007/978-3-030-59713-9_22/FIGURES/3. [6] A. Shaheen, S. T. Bukhari, M. Nadeem, S. Burigat, U. Bagci, and H. Mohy-ud-Din, “Overall Survival Prediction of Glioma Patients With Multiregional Radiomics,” Front Neurosci, vol. 16, p. 911065, Jul. 2022, doi: 10.3389/FNINS.2022.911065/BIBTEX.

1160

Digital Poster

Possible correlation of scanned proton beam dose rate and development of late visual toxicity

Arturs Meijers 1 , Juliane Daartz 2 , Antje-Christin Knopf 3 , Michelle van Heerden 1 , Nicola Bizzocchi 1 , Miriam Vazquez Varela 1 , Barbara Bachtiary 1 , Alessia Pica 1 , Helen A Shih 2 , Damien C Weber 1,4,5 1 Paul Scherrer Institut, Center for Proton Therapy, Villigen, Switzerland. 2 Massachusetts General Hospital/Harvard Medical School, Department of Radiation Oncology, Boston, USA. 3 School of Life Science FHNW, Institute for Medical Engineering and Medical Informatics, Muttenz, Switzerland. 4 University Hospital of Zürich, Department of Radiation Oncology, Zürich, Switzerland. 5 Inselspital, Bern University Hospital, Department of Radiation Oncology, Bern, Switzerland

Purpose/Objective:

Rare but high-grade toxicities of the optic apparatus have been observed after treatment of intracranial tumours with proton therapy [1]. Some adverse events have occurred at unusually low doses and are thus difficult to understand considering dose metrics only. It is our hypothesis that dose rate (DR), along with other factors, may contribute to variations in relative biological effectiveness (RBE). In this preliminary study, we explore DR related metrics in an attempt to define additional parameters that may be predictive of optic apparatus toxicities. Depending on the range of variation, DR is known to influence the RBE and radiochemical processes [2],[3],[4]. The limited investigation on DR effects in external beam therapy, suggests a potential correlation between DR and RBE in conventional photon beams [5],[6],[7],[8]. In contrast, such effects have not been observed in carbon ion beams. When transitioning from proton scattering to pencil beam scanning over the last decade [9], little consideration was given to increased DR observed with the latter delivery paradigm.