Inhaltsangabe
Hyperthermia is newly back in the interest of both, research and clinical oncologistsbecause of its property to permanently damage the tumor. Radio-frequency ablation (RFA)is a hyperthermia medical treatment modality used to destroy the unwanted tissues in thehuman body by heating, because of the Radiofrequency energy is most familiar heat sourcefor tissue destruction. RFA has found number of applications in the medical field startedwith cardiac arrhythmia treatment and now extensively used in the ablation of manytumors (lung, liver, kidney, prostate and bone etc.) in different locations in human body. Itis one of the widely studied and results of this technique are more admissible than otherpainful and expensive techniques. RFA technique is still in study for getting more efficientresults. Outcomes of Radiofrequency ablation treatment for lung tumor is challenged bylack of patients specific planning. This results in improper and incomplete treatment,increase risk of reoccurrence of tumor. In this study we presents the detailed computationalmodel of biophysical mechanism that is involved in the Radiofrequency ablation of humanlung tumor such as the heat diffusion and tissue necrosis. This study model simulates theextent of ablation tissue, give the probe location and tissue conductivity. A threedimensionalright human lung and tumor has been modeled from 2D medical images dataof lung tumor patient for performing temperature-controlled RFA. A single electrode trocarhas been used for heating the tumor. The rise in temperature inside the tissue at variouspoints inside the tumor has been predicted by solving the two different modules ofCOMSOLmultiphysics (the electric currents module and the bio-heat transfer module).Thesimulation results are thoroughly verified against analytical solution. The model isimplemented with a material speed-up thanks to the graphics card to reach near real-timecomputation. The present study determines the effect of target temperature on the inputvoltage requirement and the temperature distribution inside the tumor cum healthy tissueduring the temperature controlled RFA of lung tumor. The results from the current studymay be useful for the clinical practitioners by providing them guidelines and it could makethe RFA more effective and reliable.
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PRE-CLINICAL MODELING AND SIMULATION OF RADIOFREQUENCY ABLATION IN HUMAN LUNG TUMOR
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