SUMMARY

The Monte-Carlo simulation of DNA damage acquisition became handy with the modern computing power capacity. However, simulation requires tremendous computing power and time to produce meaningful results, meaning chromosome aberration or cell death, with numerous track data requirements. Also, the limited voxel memory capacity of Geant-4-based simulation does not allow produce simulation with hundreds of particles simultaneously. To decrease the resources required for simulation and overcome the limited capability of Geant-4-based simulation, we propose the super-position standard DNA damage (SDD) files.
The proposal's objective is to estimate cell-by-cell DNA damage and cell survival with the proposed method and further carry out in vitro estimation via numerous execution of the method.
The proposed method is divided into two parts. The first part is creating the SDD data for the look-up table. SDD data with libraries of a large number (> 8,000) of electron particles were created with TOPAS-nBio simulation for various energy ranges. The nucleus comprises 46 chromosomes. The individual simulation consists of a single SDD file with single-strand breaks (SSB), base damages (BD), double-strand breaks (DSB), the combination of these, or no damage.
The second part is creating super-positioned SDD files for cell evaluation. The selection of energy and dose initiates the process. The target superimposed SDD was selected with probability based on the track-length calculation of selected energy. Each target SDD has a specific dose assigned to the file, and the selection of SDD iterated up to the specified dose. If the dose is given with the dose rate, the time stamp is added to the superimposed SDD. Otherwise, SDD is considered an acute dose. Upon generation of the superimposed SDD file, the SDD is fed to Medras-MC to evaluate radiation-induced chromosome aberrations and cell death.