ESTRO 2024 - Abstract Book

S2900

Interdiscplinary - Other

ESTRO 2024

This was a trial period and it had its difficulties. Not all the anticipated objectives have been achieved. For this reason, it is recommended or proposed to continue working more responsibly and willingly to achieve the best possible work for the staff and to improve this work for everyone.

Keywords: Radiation Oncology, Burnout, Psychological support

References:

1. Christina Maslach, Burnout: The cost of caring, http://www.ishkbooks.com/ma

2. Bui et al. Acta Biomed 2021; Vol. 92, N. 3: e2021091 DOI: 10.23750/abm.v92i3.9738

3. Antoni Font et al. 2212-5671 © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Selection and/ peer-review under responsibility of Academic World Research and Education Center doi: 10.1016/S2212-5671(15)00320-2

1254

Digital Poster

Tumor Control Probability predictions for Hyperthermia plus Radiotherapy under varying conditions

Sergio Mingo Barba 1,2,3 , Adela Ademaj 4,5 , Dietmar Marder 4 , Oliver Riesterer 4 , Marco Lattuada 2 , Rudolf M. Füchslin 1,6 , Alke Petri-Fink 2,3 , Stephan Scheidegger 1 1 Zürich University of Applied Sciences (ZHAW), School of Engineering, Winterthur, Switzerland. 2 University of Fribourg, Chemistry Department, Fribourg, Switzerland. 3 University of Fribourg, Adolphe Merkle Institute, Fribourg, Switzerland. 4 Cantonal Hospital Aarau, Center for Radiation Oncology KSA-KSB, Aarau, Switzerland. 5 University of Zurich, Doctoral Clinical Science Program, Medical Faculty, Zurich, Switzerland. 6 Ca’ Foscari University of Venice, European Centre for Living Technology, Venice, Italy

Purpose/Objective:

Hyperthermia (HT), i.e., heating the target volume to 39-43 °C, has been clinically proven to enhance the effect of radiotherapy (RT). Several HT-induced biological effects such as repair impairment or direct hyperthermic cytotoxicity have been demonstrated in-vitro. Understanding the extend of such processes and their influence in the outcome is essential to efficiently perform a combined hyperthermia plus radiotherapy (HT+RT) treatment. However, given the heterogeneity of treatment conditions (e.g., number of HT sessions, temperatures or time intervals between HT and RT) present in the HT+RT patients, obtaining this knowledge exclusively from the analysis of clinical data might be challenging. In this context, in-silico biophysical models can be used to study how diverse biological processes may influence the outcome of HT+RT treatments under varying conditions. The aim of this study was (1) to investigate how variations in the HT-related treatment conditions (number of HT sessions, temperature and time interval between HT and RT) can influence the treatment outcome and (2) to show how in-silico models can be used to help interpret patient data.