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Cells are the most basic units in organisms. Due to the randomness of the interaction between radiation and matter, the statistical fluctuations in cell doses further confirmed the sensitivity of microscopic energy deposition to the volume and shape of subcellular level targets (Palmer TL, Tkacz-Stachowska K, Skartlien R.  et al.  Microdosimetry modeling with auger emitters in generalized cell geometry.  Phys Med Biol  2021;66:115023.  10.1088/1361-6560/ac01f5 ). When X-rays interact with glioma cells, their physical and biological processes become more complex. The purpose of this study was to use glioma cells in combination with radiation physics technology and biological experimental technology to explore the construction of a biophysical cell model for the mechanisms of radiotherapy and its biological effects. The main work of this study was to apply the theory of radiation dosimetry, combined with advanced image analysis and numerical analysis techniques, to construct a curved surface model of real glioma cells and to carry out Monte Carlo simulation and radiobiology experiments. Comparative experimental results in radiation physics and radiobiology were obtained. The dose estimation results of the glioma cell curved surface model proposed in this paper show that the dose deposited in the nucleus of a single glioma nucleus after X-ray irradiation is ~70% of the external radiation dose, and the dose score of the community cells shows a Gaussian distribution, consistent with the randomness of dose deposition. The radiobiological results showed that cell injury increased with increasing dose, and the apoptosis rate peaked at 48 h and decreased gradually under 2 Gy irradiation. The T98G cell biophysical model has important application value in dose estimation and radiobiological effect research and can provide detailed dose information simulation to provide theoretical and application support for tumour radiotherapy.

Biological-physical model of human glioma cells based on microdosimetry