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Updated: Mar 25, 2026
Intra-Operative Neural Monitoring of Thyroid Surgery in a Porcine Model
Published on: February 11, 2019
Intermittent Intraoperative Neural Monitoring Technology in Minimally Invasive Video-Assisted Thyroidectomy: A
Hu Hei1, Yifei Zhai1, Jianwu Qin1
1a Department of Thyroid and Neck , The Affiliated Cancer Hospital of Zhengzhou University , Henan Cancer Hospital, Zhengzhou, China.
Purpose:
Intraoperative neural monitoring (IONM) technology was applied in minimally invasive video-assisted thyroidectomy (MIVAT) to explore its safety and effectiveness.
Materials And Methods:
Data were collected retrospectively from October 2009 to August 2011. Inclusion criteria included the following: (1) benign thyroid nodule with maximum diameter less than 4.0 cm by preoperative ultrasound evaluation; (2) no previous thyroid surgeries; (3) no cervical radiation history; (4) normal function of recurrent laryngeal nerve (RLN) examined by preoperative laryngoscopy; (5) patients who did not accept to take a "wait and see" follow-up strategy. Enrolled patients were randomly allocated into NIM group and control group.
Results:
46 patients were enrolled in NIM group, and 51 patients were enrolled in control group. All surgeries in NIM group were performed successfully, and majority of tracheal intubations were placed with one attempt. 47 RLNs in NIM group and 60 RLNs in control group were exposed. The time of RLN locating was 6.06 ± 1.48 min in NIM group and 6.92 ± 1.34 min in control group (p = .02). The time of RLN tracing and exposing was 28.96 ± 4.75 min in NIM group and 32.17 ± 5.56 min in control group (p = .02). 1 case of temporary RLN paralysis was observed in both groups, and no permanent RLN paralysis was reported.
Conclusions:
The application of intermittent IONM in MIVAT is feasible. Intermittent IONM can help reduce the time of RLN locating and the time of RLN tracing and exposing.
