چكيده به لاتين
Common strategies for cancer therapy have limitations that have led to attempts to discover new solutions. In recent decades, hyperthermia, as a new method in cancer treatment, has got researchers' attention. Advances in nanotechnology have created new ways of heat generation in hyperthermia using magnetic nanoparticles, called magnetic nanoparticle hyperthermia. In this method, superparamagnetic nanoparticles generate heat in the presence of a magnetic field by two mechanisms: Neel relaxation and Brownian relaxation.
Success in this approach depends on the precise controlling of temperature distribution. For this purpose, in this study, multi-point injection has been used to create uniform temperature distribution in the tumor. Since the temperature range of 40 to 50 deg C is the desired range for the final temperature of the tumor to be destroyed, an inverse method is used to estimate the optimum location of nanoparticle injections to reach the desired range of temperature. The optimum number of injections is determined by considering the amount of tumor in this temperature range and the maximum final temperature difference in the tumor as a factor of determination of uniformity of temperature distribution.
Eventually, 5 point injections with coordinates obtained from the inverse method, has been determined as the optimum answer. In this case, the total process time has reached 8 minutes, 86% less than the single injection method, and also 95% of the tumor is in the desired temperature range.
Results of validations also show the validity of both computational simulation (0.5% error) and the analytical solution used in the inverse method (maximum 7% error).
