Dielectric Properties of Ex Vivo Porcine Liver Tissue Characterized at Frequencies Between 5 and 500 kHz When Heated at Different Rates

2018 ◽  
Vol 65 (11) ◽  
pp. 2560-2568 ◽  
Author(s):  
Douglas Deas Yero ◽  
Fidel Gilart Gonzalez ◽  
Dirk Van Troyen ◽  
Guy A. E. Vandenbosch
2012 ◽  
Vol 131 (4) ◽  
pp. 3364-3364 ◽  
Author(s):  
Min Joo Choi ◽  
Sitaramanjaneya Reddy Guntur ◽  
Kang IL Lee ◽  
Dong Guk Paeng ◽  
Andrew Coleman

Medicina ◽  
2007 ◽  
Vol 43 (4) ◽  
pp. 310 ◽  
Author(s):  
Rimantas Barauskas ◽  
Antanas Gulbinas ◽  
Giedrius Barauskas

Background. The character of ablation processes with high-frequency electrical current is similar in most biological tissues; however, quantitative characteristics are very different. Consequently, mathematical models of the process have a lot of specific aspects. In this study, we developed mathematical model of radiofrequency ablation in liver tissues with experimental validation of model in ex vivo porcine liver. Methods. The finite element nonlinear computational model for the simulation of the radiofrequency ablation processes and taking into account coupled electrical and thermal phenomena has been developed. The radiofrequency electric current processes are dominated by the active electric conductivity. The heat generation in biological tissues is determined by the electric current density. Simultaneously, the conductivity of the tissue is nonlinearly dependent upon the temperature of the tissue. The model has been implemented in COMSOL Multiphysics computational environment. Tests on physical characteristics of the thermal effect in ex vivo liver tissue have been performed and results compared. Results. Two oval-shaped zones of total and relative tissue destruction were highlighted. The principal distribution of the thermal effect is congruous with the theoretical model; however, the discrepancy of temperatures in experimental and theoretical models increases distally from active perfusion electrode. Conclusions. Distribution of the thermal effect is congruous in the theoretical and experimental model; however, discrepancies of temperatures imply certain inadequacies of the mathematical models. Differences of computed and actual temperatures should be regarded predicting tissue ablation in clinical setting.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jens Ziegle ◽  
Alfredo Illanes ◽  
Axel Boese ◽  
Michael Friebe

AbstractDuring thermal ablation in a target tissue the information about temperature is crucial for decision making of successful therapy. An observable temporal and spatial temperature propagation would give a visual feedback of irreversible cell damage of the target tissue. Potential temperature features in ultrasound (US) B-Mode image sequences during radiofrequency (RF) ablation in ex-vivo porcine liver were found and analysed. These features could help to detect the transition between reversible and irreversible damage of the ablated target tissue. Experimental RF ablations of ex-vivo porcine liver were imaged with US B-Mode imaging and image sequences were recorded. Temperature was simultaneously measured within the liver tissue around a bipolar RF needle electrode. In the B-Mode images, regions of interest (ROIs) around the centre of the measurement spots were analysed in post-processing using average gray-level (AVGL) compared against temperature. The pole of maximum energy level in the time-frequency domain of the AVGL changes was investigated in relation to the measured temperatures. Frequency shifts of the pole were observed which could be related to transitions between the states of tissue damage.


2010 ◽  
Vol 21 (10) ◽  
pp. 1573-1578 ◽  
Author(s):  
Joseph L. Farnam ◽  
Benjamin C. Smith ◽  
Brandon R. Johnson ◽  
Rodolfo Estrada ◽  
Theresa L. Edelman ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
pp. 87-95
Author(s):  
Guanming Zhu ◽  
Liang Zhou ◽  
Shilong Wang ◽  
Pengjie Lin ◽  
Jing Guo ◽  
...  

AbstractIt is a common challenge for the surgeon to detect pathological tissues and determine the resection margin during a minimally invasive surgery. In this study, we present a drop-in sensor probe based on the electrical bioimpedance spectroscopic technology, which can be grasped by a laparoscopic forceps and controlled by the surgeon to inspect suspicious tissue area conveniently. The probe is designed with an optimized electrode and a suitable shape specifically for Minimally Invasive Surgery (MIS). Subsequently, a series of ex vivo experiments are carried out with porcine liver tissue for feasibility validation. During the experiments, impedance measured at frequencies from 1 kHz to 2 MHz are collected on both normal tissues and water soaked tissue. In addition, classifiers based on discriminant analysis are developed. The result of the experiment indicate that the sensor probe can be used to measure the impedance of the tissue easily and the developed tissue classifier achieved accuracy of 80% and 100% respectively.


2011 ◽  
Vol 52-54 ◽  
pp. 226-231
Author(s):  
Shan Jiang ◽  
Gong Cheng ◽  
Sha Liu ◽  
Wen Hao Feng ◽  
Zhen Zhang ◽  
...  

Biopsy precious research has an important relationship with treatment efficiency and side effect complication. Most of the investigation is focus on the non-creatural material which is used to substitute creatural soft tissue for precious research. The aim of this paper is to develop a prescription that can be used for opaque and transparent PVA making which has similar mechanics property to the creatural tissue. The preparation, characteristics, and the results of PVA hydrogel on the composite material are studied as the key investigation. Porcine liver tissue property is also tested as a consultant for PVA material preparation. Comparing with the liver tissue test result, certain component ratio and freezing-thaw circle are determined. This PVA hydrogel material shows big potential in the creatural material substitution application. This research will benefit others who are interested in using non-creatural material to do experiment or surgical technology training.


Author(s):  
Irina L. Alborova ◽  
Julian Bonello ◽  
Lourdes Farrugia ◽  
Charles V. Sammut ◽  
Lesya N. Anishchenko

Sign in / Sign up

Export Citation Format

Share Document