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성의숙 (양산부산대학교병원) 신성찬 (부산대학교) 권현근 (부산대학교) 김지아 (부산대학교병원 이비인후과) 박다희 (부산대학교) 최성욱 (양산부산대학교병원) 김상훈 (부산대학교 의과대학 부산대학교병원 이비인후과학교실) 이진춘 (부산대학교) 노정훈 (부산대학교) 이병주 (부산대학교)
저널정보
대한이비인후과학회 Clinical and Experimental Otorhinolaryngology Clinical and Experimental Otorhinolaryngology 제13권 제3호
발행연도
2020.1
수록면
291 - 298 (8page)

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Objectives. The loss of signal during intraoperative neuromonitoring (IONM) using electromyography (EMG) in thyroidectomy is one of the biggest problems. We have developed a novel IONM system with an endotracheal tube (ETT) with an attached pressure sensor instead of EMG to detect laryngeal twitching. The aim of the present study was to investigate the feasibility and reliability of this novel IONM system using an ETT with pressure sensor during thyroidectomy in a porcine model. Methods. We developed an ETT-attached pressure sensor that uses the piezoelectric effect to measure laryngeal muscle twitching. Stimulus thresholds, amplitude, and latency of laryngeal twitching evaluated using the pressure sensor were compared to those measured using transcartilage needle EMG. The measured amplitude changes by EMG and the pressure sensor during recurrent laryngeal nerve (RLN) traction injury were compared. Results. No significant differences in stimulus threshold intensity between EMG and the pressure sensor were observed. The EMG amplitude detected at 0.3 mA, increased with increasing stimulus intensity. When the stimulus was more than 1.0 mA, the amplitude showed a plateau. In a RLN traction injury experiment, the EMG amplitude did not recover even 20 minutes after stopping RLN traction. However, the pressure sensor showed a mostly recovery. Conclusion. The change in amplitude due to stimulation of the pressure sensor showed a pattern similar to EMG. Pressure sensors can be feasibly and reliably used for RLN traction injury prediction, RLN identification, and preservation through the detection of laryngeal muscle twitching. Our novel IONM system that uses an ETT with an attached pressure sensor to measure the change of surface pressure can be an alternative to EMG in the future.

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