Introduction. In the development of new methods of radiotherapy, studies of the biological effects of sparsely (photons, electrons) and densely (protons, ions) ionizing radiation are relevant. Reproducibility is a challenge in preclinical studies. Dosimetric phantoms of laboratory animals are an effective tool for dose assessment, facilitating standardization of tests conducted under different conditions. existing phantoms often fail to address radiobiological issues like placing of biological samples or dosimetry detectors. A method for manufacturing dosimetric phantoms must be developed to accurately manufacturing products and modify their design in accordance with the task. Aim. This study develops a numerical model to simulate the interaction of photon, electron and proton therapeutic beams with 3D-printed PLA plastic samples and to determine the optimal 3D printing parameters for imitating soft tissues. Material and Methods. Fused filament fabrication proposed as effective means of creating such devices, given that the majority of polymers exhibit properties closely aligned with those of biological tissues, are employed in the manufacture of standard phantoms. A major advantage of 3D printing is the ability to make items with different specifications. Numerical simulation was employed to investigate the interaction of PLA plastic with an ionizing radiation used in radiotherapy. Results. the calculated depth dose distributions of different types of radiation in soft tissues and PLA plastic of varying densities were obtained. It was demonstrated that for adipose imitation using photons and electrons, it is necessary to utilise PLA plastic 3D-printed samples with a density of 0.91 g/cm³ (fill factor of 75 %); for muscle – 1.06 g/ cm³ (fill factor of 88 %). For proton and carbon ion, the density of PLA plastic samples for adipose imitation was determined to be 0.97 g/cm³ (fill factor of 80 %); for muscle – 1.11 g/cm³ (fill factor of 93 %). Conclusion. The study demonstrates that the interaction of PLA plastic with rarely and densely ionizing radiation may be differed. This is a crucial consideration when planning experiments using solid-state dosimetric phantoms.
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