O.7.3 RADPHYSBIO: A RADIOBIOLOGICAL DATABASE FOR THE PREDICTION OF CELL SURVIVAL UPON EXPOSURE TO IONIZING RADIATION

S20 Abstracts / Physica Medica 127S1 (2024) S1–S82 solar UV and cosmic ionizing radiation to evaluate their effects on healthy human cells, as well as on cancer cells. Physica Medica 127S1 (2024) 104567 https://doi.org/10.1016/j.ejmp.2024.104567 O.7.3 RADPHYSBIO: A RADIOBIOLOGICAL DATABASE FOR THE PREDICTION OF CELL SURVIVAL UPON EXPOSURE TO IONIZING RADIATION V. Zanni1, D. Papakonstantinou2, S. A. Kalospyros1, D. Karaoulanis3, G. M. Biz1, A. Adamopoulos4, A. Pavlopoulou5,6, A. G. Georgakilas1 1DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Athens, Greece, 2Department of Life Sciences, University ParisSaclay, Saint-Aubin, Paris, France, 3School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece, 4Department of Medicine, Medical Physics Laboratory, Democritus University of Thrace, Alexandroupolis, Greece, 5Izmir Biomedicine and Genome Center (IBG), Balcova, Izmir, Turkey, 6Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, Balcova, Izmir, Turkey Background: In the field of radiobiology, there are few databases that provide information on biology of the irradiated cells. Such databases can serve as valuable resources, since they provide access to a large volume of data that contribute to our understanding of radiation’s biological effects. However, they usually consider only one type of radiation, including few parameters in terms of biological response. Herein, we developed a computational biophysical model, which is able to predict the response of human cells (complex DNA lesions and cell survival) after exposure to different types of ionizing radiation. Our scope was the development of a radiobiological open-access database, ‘RadPhysBio’, which includes several physical and biological parameters, as well as the development of a machine learning (ML) biophysical model/prediction tool. Materials and Methods: Concerning the database, we mined experimental ionizing radiation data of human cells treated with X-rays, J-rays, carbon ions, protons and D-particles, by manually searching literature in PubMed from 1980 until 2023. Through WebPlotDigitizer software we calculated the cell survival D and E coefficients of the linear quadratic model, as well as the initial values of the double-strand breaks in DNA, while in order to complete any missing data, we produced complex DNA damage results through the fast Monte Carlo code MCDS. Results: The calculated D/E values are in a good agreement with those reported in literature, where D shows a relatively good correlation with linear energy transfer. In general, a positive correlation between DSBs and LET was observed as far as the experimental values are concerned. Furthermore, the ML model showed a good performance for D, while it underscored LET as the most important feature for its prediction. Conclusion: In conclusion, this work provides a robust tool for researchers and clinicians to better understand and predict radiation’s biological effects, which could be crucial for improving cancer treatment strategies. Physica Medica 127S1 (2024) 104568 https://doi.org/10.1016/j.ejmp.2024.104568 Biomedical engineering (BME) O.8.1 INVESTIGATION OF NOVEL X-RAY DETECTOR SETUPS IN CONE BEAM COMPUTED TOMOGRAPHY E. Karali1, C. Michail1, G. Fountos1, N. Kalyvas1, I. Valais1 1Department of Biomedical Engineering, Radiation Physics, Materials Technology and Biomedical Imaging Laboratory, University of West Attica, Athens, Greece Background: Cone beam computed tomography (CBCT) emerges as an alternative to classical mammography and even to tomosynthesis. CBCT offers 3D breast representation, without any breast compression, at adequate dose levels. CBCT can provide images with high sensitivity and specificity allowing a more accurate evaluation even in dense breast, where mammography and tomosynthesis may lead to false diagnosis. Materials and Methods: The purpose of this study is to present and evaluate novel detector schemes of a micro-CBCT system. Moreover, their imaging performance in the case of breast tissue examination is assessed. So, an X-ray cone beam micro-CT system, was simulated. The energy spectrum of the source ranges from 10 to 40 keV. The object under examination was placed on a 360° rotating table. Different detector materials were simulated and investigated: BGO, LSO, LYSO, LuAG, LaCl3 and CZT. Each energy converter was of the same size. Spatial resolution was investigated with simulated data of a bone tissue capillary. Further, a breast phantom, was simulated in order to evaluated image quality. The image quality comparison criteria were derived from contrast-to noise ratios (CNRs) of specific ROIs (regions-of-interest). System simulation was based on GATE software. Images were reconstructed with FBP and OSEM. The evaluation was performed in conjunction to the standard CsI:Tl detector scheme. All schemes were simulated with the same frond-end electronic configuration. Results: Spatial Resolution that can be achieved by all the aforementioned X-ray detection schemes depends only on the reconstruction algorithm. However, image quality showed a dependence on detector material. LYSO:Ce, LaBr3:Ce and LuAG:Ce presented adequate CNRs for materials of different density, while CZT performed well in low density spine bone tissue. Conclusion: The aforementioned examined materials with increased CNRs could be an efficient alternative for the case of dense breasts in a future CBCT system. Physica Medica 127S1 (2024) 104569 https://doi.org/10.1016/j.ejmp.2024.104569 O.8.2 CUSTOM-MADE PLA FILAMENT DOPED WITH THERMOLUMINESCENCE POWDER, FOR CONSTRUCTING 3D PRINTED RADIATION DETECTORS: PRELIMINARY RESULTS G. Giakoumettis1, N. Okkalidis2, F. Okkalidis2, C. Chatsigeorgiou2, H. Yordanov3, M. Gelev4, A. Siountas1, E. Papanastasiou1 1Medical Physics & Digital Innovation Laboratory, AHEPA University Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece, 2Morphé, Thessaloniki, Greece, 3Faculty of Physics, Sofia University St. Kliment Ohridski, Sofia, Bulgaria, 4Protecta Labs, Sofia, Bulgaria Background: Thermoluminescent dosimeters (TLDs) are used to measure radiation dose and monitor the radiation exposure of