Circular Radio-Frequency Electrode With MEMS Temperature Sensors for Laparoscopic Renal Sympathetic Denervation

Baik, Jinhwan; Seo, Seungwan; Lee, Sangyong; Yang, Sun Cheol; Park, Sung Min

doi:10.1109/tbme.2021.3092035

IEEE Trans. Biomed. Eng.

2022

DOI: 10.1109/tbme.2021.3092035

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Circular Radio-Frequency Electrode With MEMS Temperature Sensors for Laparoscopic Renal Sympathetic Denervation

Jinhwan Baik

Seungwan Seo

Sangyong Lee

et al.

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Cited by 5 publications

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“…When external physical quantities act on these micromechanical structures, they will undergo deformation or vibration, thereby changing parameters such as current, voltage, or capacitance in the circuit and generating corresponding electrical signals [ 16 , 17 , 18 ]. The miniaturization and integration of MEMS sensors have made them applicable in various fields, such as the automotive industry [ 19 ], healthcare [ 20 ], and aerospace [ 21 ], and have provided important support for the development of intelligent systems [ 22 ] and the Internet of Things [ 23 ].…”

mentioning

confidence: 99%

Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II

Wang,

Ruan,

Zhou

et al. 2024

Micromachines

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mentioning

confidence: 99%

Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II

Wang,

Ruan,

Zhou

et al. 2024

Micromachines

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Investigations of Laser‐Assisted Renal Denervation for Treatment of Resistant Hypertension

Hwang,

Shin,

Jung

et al. 2024

Lasers Surg Med

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Background and ObjectivesRenal denervation (RDN) is an emerging surgical treatment for resistant hypertension. However, the current RDN using radiofrequency can cause undesirable thermal damage to the medial and luminal layers due to direct contact between the arterial lumen and energy source. The aim of this study is to evaluate the feasibility of the new laser‐assisted RDN by exploring the potential treatment conditions.MethodsFor ex vivo testing, six different treatment conditions (10 and 20 W applied for delivery of 300, 450, and 600 J) were tested on the porcine liver and renal artery (RA) by using a continuous wave 1064 nm laser wavelength. The ablated area in the liver tissue was measured to estimate the extent of the coagulated area. Histological evaluation was performed on the treated RA tissues to confirm the extent of thermal nerve damage.ResultsThe ablated depth, length, and area in the liver tissue increased with laser power and total energy. According to the histological results, 20 W groups yielded more significant damage to the RA nerves than 10 W groups at the total energy of 300 J (0.0 ± 0.0 mm for 10 W vs. 2.9 ± 1.0 mm for 20 W), 450 J (1.9 ± 0.6 mm for 10 W vs. 6.8 ± 1.5 mm for 20 W), and 600 J (2.9 ± 0.4 mm for 10 W vs. 7.3 ± 0.8 mm for 20 W). The treated RA exhibited insignificant medial injury in depth (medial thinning ≤ 25%), and no difference in the medial thinning was found among the six groups (p = 0.4).ConclusionThe current study demonstrated that the 1064 nm laser at 20 W with delivery of 450 J could effectively damage the RA nerves with no or minimal injury to the surrounding tissue. The proposed laser‐assisted RDN may enhance physiological effects with insignificant complications in in vivo situations. Further in vivo studies will be conducted to validate the current findings by evaluating the extent of blood pressure reduction and norepinephrine changes after the laser‐assisted RDN on a large animal model.

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Modularized Electrosurgical System With a Hybrid CPU-FPGA Chip for Real-Time Thermal Lesion Approximation

Baik

Lee

Yang

et al. 2022

IEEE Trans. Instrum. Meas.

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Electrosurgery that ablates the target tissues such as tumor and nerve cells using radiofrequency (RF) heating has been widely employed in the medical industry. Although the thermal lesion plays a key role in the efficacy and safety for this method, it is still difficult to identify the depth and size of the lesion during the treatment using recent electrosurgical systems. Herein, we propose a novel electrosurgical instrument for real-time approximation of thermal lesions during RF ablation. Thermal lesions were numerically calculated based on theoretical thermal models using a hybrid central processing unit (CPU)-fieldprogrammable-gate-array (FPGA) chip. Other functions such as RF control, voltage, and temperature measurements were implemented using RF components in a modular manner. It can solve voltage distribution in 6 ms by repeating the calculation 5,000 times and can anticipate the thermal lesion in 15.6 ms within a time step in real-time simulations. As a real-world validation, the feasibility of the system was demonstrated through an animal study using a swine model. The system is modularly designed using off-the-shelf chips and RF components to improve flexibility and scalability. It can be easily compatible with existing RF surgical applications and medical imaging devices and can improve the efficacy of RF ablation therapy.

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Circular Radio-Frequency Electrode With MEMS Temperature Sensors for Laparoscopic Renal Sympathetic Denervation

Cited by 5 publications

References 30 publications

Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II

Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II

Investigations of Laser‐Assisted Renal Denervation for Treatment of Resistant Hypertension

Modularized Electrosurgical System With a Hybrid CPU-FPGA Chip for Real-Time Thermal Lesion Approximation

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