RESUMO
ObjectiveTo investigate the impact of metal plate on radiation dose distribution by Monte Carlo (MC) code. MethodsThe metal plates with 0. 4 thick were placed in water at 5 cm, all the plate irradiated with 6 MV X-ray were simulated by MC code, SSD =100 cm. The percentage depth dose with or without metal implants were compared. ResultsThe surface absorbed doses on incident plane of stainless steel plate and titanium plate were increased by 19. 6% and 15.7% respectively as compared water,the dose influence was less than 1.5% more than 0. 3 cm outside the incidence plane. The doses on the exit surface of stainless steel plate and titanium plate were lowered by 8. 6% and 8. 2% when compared with water, the dose impacts of this places where were from the exit surface of stainless steel plate 、titanium plate more than 1.2 cm,0. 9 cm were less than 1.5%. The surface absorbed doses on incident plane of stainless steel plate were increased by 3.9% respectively as titanium plate, the dose of the exit surface of stainless steel plate and titanium plate was similar. Conclusions MC method is a fast and accurate calculation method. The influence of metal plate on the radiotherapy dose distribution is significant. Under the such condition, the impact of stainless steel plate is much more than that of titanium alloy plate.
RESUMO
Objective Due to the superior performance,Carbon-Carbon composites,although still at their early stage of development,have gained more and more attention and showed great application potential.Methods According to the National Standard,the biological safety evaluation of carbon-carbon composites were done in the following aspects:cytotoxicity test,acute systemic toxicity test,haemolysis test,pyrogen test,intramuscular implantation test.Results test results showed the biological safety evaluation of carbon-carbon composites well meet the requirement of the national standard with fine biological compatibility.Conclusion The experiment results demonstrate that carbon-carbon composites can be put in clinical application