This analysis demonstrates effective nano ablation rates in cancerous tumors using a laser knife, suggesting high accuracy in surgical applications.
A simulation of nano ablating an induced cancerous tumor in the thigh of a sheep was conducted after slaughtering it. The simulation was conducted on the assumption that the tumor and cancer occurred due to the abnormal growth of one of the amino acids that make up the collagen protein, which is proline, with a percentage of cancer cell division ranging from 10% to 90% in the tissues of the thigh of the sheep, as collagen is one of the proteins that make up the connective tissue of the thigh of the sheep. The surgical ablation of the aforementioned cancer was carried out practically using a laser knife, by implementing the output data obtained from the computational simulation. The Gauss View 6.0.16 program was used to build the spatial structure of the collagen protein and the amino acid proline, and the Gaussian 09 program was used to simulate the physical properties. A simulation program written in Fortran 90 was used to calculate the rate and time of tumor ablation, using the finite difference method, by using the data obtained from the simulation of physical properties by the Gaussian 09 program. A CO2 laser knife with a wavelength of 10600 nm was used to perform the tumor ablation operation. The simulation was carried out using the density functional theory method at the B3LYP level, in conjunction with the 6 – 311G(d,p) basis set. There was a great match between the rate of ablation in the simulation and the rate of ablation in the practical, as they were (1.87) mm/sec and (2.25) mm/sec, for 90 Vol. % respectively. It can be concluded from the results of the study that the simulation data can be used to help represent a surgical ablation operation with high accuracy in terms of time and rate of ablation.
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Salim et al. (2025) studied this question.
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