Eventos Anais de eventos
CONEM 2022
XI Congresso Nacional de Engenharia Mecânica - CONEM 2022
COMPUTER-ASSISTED ANALYSIS OF EXPERIMENTAL DATA FROM POST-MORTEM PORCINE LUNG TISSUE DURING RADIOFREQUENCY ABLATION TO EVALUATE THE CONDUCTANCE RESPONSE
Submission Author:
Tiago Martins de Brito , DF , Brazil
Co-Authors:
Tiago Martins de Brito, Angélica Kathariny de Oliveira Alves, Diogo Costa, jackson paz bizerra de souza, Suelia Rodrigues Fleury Rosa
Presenter: Tiago Martins de Brito
doi://10.26678/ABCM.CONEM2022.CON22-0504
Abstract
Radiofrequency ablation (RFA) is a minimally invasive technique used in the treatment of cancer. The application of RFA in the treatment of lung tumors has gained increasing research attention in the search for improvements in the technique. Variation in quantities such as impedance and power determine the efficiency of treatment. Electrical concepts such as power, impedance, and conductance are parameters that are evaluated during surgical procedures and in many cases interact with each other during the ablation process. Although studies have been performed to haracterize these parameters in an ex-vivo environment with a variable post-mortem, they have not emphasized electrodynamic concepts during the application of the treatment signal. For an experiment using ex-vivo porcine lung tissue, we performed a computational analysis of the data obtained. For the preclinical test, an RFA device developed by the research group was used, applying a signal with a frequency of 500 kHz. The collected data were preprocessed using MATLAB® software tools. Models were created from the obtained conductance curves using the system identification technique. The system properties were evaluated using classical control theory. The computational model results confirmed that the tissue sections had conductance functions. Thus, it was possible to show the definition of the dynamic conductance of the tissue as a function of postmortem time. These results can be used as guidelines for optimizing the parameters used for RFA, taking into account the electrophysiological dynamics of the tissue. With the analysis of these quantities, it is possible to improve the performance of the devices and to obtain a better understanding of the tissue in order to develop new medical-surgical technologies.
Keywords
Radiofrequency ablation, Lung cancer, dynamic control, ex vivo
