This work calculates the microdosimetric spectra and evaluates the relative biological effectiveness (RBE10) of oxygen and carbon ions using Monte Carlo simulation. This study presents a fast, reliable radiation field characterisation and accurate biological dose prediction tool in charged particle therapy for heavy-ion beams using the Bridge silicon-on-insulator (SOI) microdosimeter via Tool for Particle Simulation (TOPAS)-based simulations toolkit.

The study used the TOPAS simulation to model the Bridge SOI microdosimeter and study its response to carbon beams with an energy of 290 MeV/u and oxygen beams with an energy of 345 MeV/u. Dose-mean lineal energy values $(\overline {{y_D})\;} $and RBE10 values were evaluated using microdosimetric lineal energy spectra with the MKM model.

The results demonstrate that oxygen ion beams have an advantage for cancer treatment as they provide higher RBE10 values and occur at the same positions as the maximum physical dose (Bragg peak), compared to carbon ion beams. The study provides new understanding of RBE for carbon and oxygen ions, as well as the relationship between physical doses and RBE.