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Zhang X, Wei W, Qian L, Yao L, Jin X, Xing L, Qian Z. Real-time monitoring of bioelectrical impedance for minimizing tissue carbonization in microwave ablation of porcine liver. Sci Rep 2024; 14:30404. [PMID: 39638842 PMCID: PMC11621451 DOI: 10.1038/s41598-024-80725-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 11/21/2024] [Indexed: 12/07/2024] Open
Abstract
The charring tissue generated by the high temperature during microwave ablation can affect the therapeutic effect, such as limiting the volume of the coagulation zone and causing rejection. This paper aimed to prevent tissue carbonization while delivering an appropriate thermal dose for effective ablations by employing a treatment protocol with real-time bioelectrical impedance monitoring. Firstly, the current field response under different microwave ablation statuses is analyzed based on finite element simulation. Next, the change of impedance measured by the electrodes is correlated with the physical state of the ablated tissue, and a microwave ablation carbonization control protocol based on real-time electrical impedance monitoring was established. The finite element simulation results show that the dielectric properties of biological tissues changed dynamically during the ablation process. Finally, the relative change rule of the electrical impedance magnitude of the ex vivo porcine liver throughout the entire MWA process and the reduction of the central zone carbonization were obtained by the MWA experiment. Charring tissue was eliminated without water cooling at 40 W and significantly reduced at 50 W and 60 W. The carbonization during MWA can be reduced according to the changes in tissue electrical impedance to optimize microwave thermal ablation efficacy.
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Affiliation(s)
- Xiao Zhang
- Department of Electrical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
- Key Laboratory of Multi-modal Brain-Computer Precision Drive, Industry and Information Technology Ministry, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
| | - Wei Wei
- Department of Electrical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
- Key Laboratory of Multi-modal Brain-Computer Precision Drive, Industry and Information Technology Ministry, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
| | - Lu Qian
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
- Key Laboratory of Multi-modal Brain-Computer Precision Drive, Industry and Information Technology Ministry, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
| | - Liuye Yao
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
- Key Laboratory of Multi-modal Brain-Computer Precision Drive, Industry and Information Technology Ministry, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
| | - Xiaofei Jin
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
- Key Laboratory of Multi-modal Brain-Computer Precision Drive, Industry and Information Technology Ministry, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
| | - Lidong Xing
- Department of Electrical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
- Key Laboratory of Multi-modal Brain-Computer Precision Drive, Industry and Information Technology Ministry, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
| | - Zhiyu Qian
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
- Key Laboratory of Multi-modal Brain-Computer Precision Drive, Industry and Information Technology Ministry, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
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Jin X, Feng Y, Zhu R, Qian L, Yang Y, Yu Q, Zou Z, Li W, Liu Y, Qian Z. Temperature control and intermittent time-set protocol optimization for minimizing tissue carbonization in microwave ablation. Int J Hyperthermia 2022; 39:868-879. [PMID: 35858640 DOI: 10.1080/02656736.2022.2075041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
PURPOSE The charring tissue formation in the ablated lesion during the microwave ablation (MWA) of tumors would induce various unwanted inflammatory responses. This paper aimed to deliver appropriate thermal dose for effective ablations while preventing tissue carbonization by optimizing the treatment protocol during MWA with the set combinations of temperature control and pulsed microwave energy delivery. MATERIAL AND METHODS The thermal phase transition of ex vivo porcine liver tissues were recorded by differential scanning calorimetry (DSC) to determine the temperature threshold during microwave output control. MWA was performed by an in-house built system with the ease of microwave output parameter adjustment and real-time temperature monitoring. The effects of continuous and pulsed microwave deliveries as well as various intermittent time-set of MWA were evaluated by measuring the dimensions of the coagulation zone and the carbonization zone. RESULTS The DSC scans demonstrated that the ex vivo porcine liver tissues have been in a state of endothermic heat during the heating process, where the maximum absorbed heat occurred at the temperature of 105 °C ± 5 °C. The temperature control during MWA resulted in effective coagulative necrosis while preventing tissue carbonization, after setting 100 °C as the upper threshold temperature and 60 °C as the lower threshold. Both the numerical simulation and ex vivo experiments have shown that, upon the optimization of the time-set parameters in the periodic intermittent pulsed microwave output, the tissue carbonization was significantly diminished. CONCLUSION This study developed a straight-forward anti-carbonization strategy in MWA by modulating the pulsing mode and intermittent time. The programmed protocols of intermittent pulsing MWA have demonstrated its potentials toward future expansion of MWA technology in clinical application.
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Affiliation(s)
- Xiaofei Jin
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Yu Feng
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Roujun Zhu
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Lu Qian
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Yamin Yang
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Qindong Yu
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Zhihan Zou
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Weitao Li
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Yangyang Liu
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Zhiyu Qian
- Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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