In this paper, we have examined the effect of metal implants on dose distribution for the VMAT-SBRT applications with in vivo EPID dosimetry. The performance of in vivo EPID dosimetry for SBRT irradiations has been previously studied(17, 22–24). It has been suggested that EPID can be used for the prostate, lung, and spine VMAT-SBRT applications and seems to be an innovative approach for in vivo dosimetry(17). According to the phantom results of McCowen et al., when gamma analysis was performed between EPID and TPS with 3%/3mm analysis parameter, the passing rate for the spine was found to be 93%(17). Despite the fact that there were TPS and reconstruction algorithm differences with McCowen’s study, our findings appear to be well substantiated by him. The gamma results were about 95% for the LV model. The AAPM TG-119 determined the lower limit of the passing rate for IMRT as 88%, our results support that EPID can be used as an in vivo dosimetry in VMAT-SBRT spine irradiations.
Our main motivation in this study was to examine the effect of metal implants on in vivo EPID results. Gamma analysis passing rates for spine models with metal implants decreased to the order of 70%. This dose mismatch between TPS and the measured dose is outside the acceptance criteria. There is a considerable amount of literature on the mismatch of TPS and measured dose in the presence of metals in the radiation field. The difference is mainly based on two reasons. The first is the imaging artifacts created by metal implants. The second is the inadequate modeling of radiation transport in or near high-effective atomic number materials by commercially used dose calculation algorithms. In this study, the single energy metal artifact reduction (SEMAR) technique was used during imaging to reduce artifacts caused by metal implants. Murazaki et al. affirm that gamma passing rates were improved by 6% using SEMAR for the images including metal implants (25). The algorithm utilized was collapsed cone (CC) to generate the treatment plans. They demonstrated that the CC algorithm could be used for dose calculation in cases where metal implants were present in radiation fields (26, 27). However, the difference between the measured dose and the planned dose for the CC algorithm can differ up to 25%. The difference may vary according to the effective atomic number of the material used. In vivo EPID measurements revealed that there was a major dose difference between calculated and measured dose for implanted models. We showed that for the PS model, the failed points in the gamma analysis cuold be reduced by blocking the beam entry from the implants. For other models, it was impossible to block the metal for VMAT irradiation.
The dose distribution around the high effective atomic number materials has been studied in various studies. Monte Carlo studies have shown that there is a sudden dose jump around the high effective atomic number material. These dose peaks are due to the backscattered radiation. It is known that the magnitude of the backscatter radiation depends on the type of radiation beam, the thickness, and the density of the material. Our results are in concordance with the literature. We observed sudden dose jumps near the metal implants by in vivo EPID measurements. The effect of backscattered radiation from metal implants on the signal picked up by EPID may have caused the detection of dose variation in this region.
The dose difference of more than 7% observed in point dose measurements can have dangerous consequences for the spinal cord in SBRT applications. The measured doses were higher than the TPS dose. These results suggest that even if spinal cord doses are within tolerance according to the TPS, the spinal cord may actually be exposed to a dose above the tolerance limits due to the dose uncertainty caused by the metal implants. This effect should be considered in patients with spinal implants.
Realistic doses can be obtained by creating treatment plans in which radiation beams do not pass directly through the implants. It was previously reported that blocking the beam entry from the prosthesis improves the quality of dose distribution in patients with HIP prostheses treated with VMAT. However, in patients with spinal implants, materials with high effective atomic numbers can be located adjacent to the target structures. In such cases, it is impossible to leave the implants out of the field for the VMAT technique. In our previous study with the Cyberknife treatment machine, we showed that in the treatment of similar cases, identifying metal implants to TPS and preventing the radiation beams to pass through it significantly reduces dose uncertainties(28). If we evaluate the results of both of our studies together, it can be concluded that it would be more appropriate to treat such cases with Cyberknife.