Objective: To compare methods of detecting nonrecurrent laryngeal nerves (NRLNs). Methods: Specificity and sensitivity were compared in three NRLN detection methods: computed tomography (CT), electroymyography (EMG), and A-B point comparison. Results: A total of 73 intraoperative pictures and 36 CT details of NRLNs are pre- sented. Incidence of NRLN was 0.39%. Type I NRLN comprised 50.7%, type IIA 45.2%, type IIB 4.1%. The NRLN median latency was 2.13 ms vs 3.00 ms median in an RLN control group (P < .001). When the threshold was set to 2.5 ms, EMG latency detection had 96.7% sensitivity and 91.6% specificity for detecting NRLN, and the A-B point comparison algrithm had 97.3% sensitivity and 92.5% specific- ity. Combining EMG latency detection with A-B point comparison achieved 100% sensitivity and specificity for detecting NRLN. Conclusion: This is the largest series of NRLN presented in the literature. Latency shorter than 2.50 ms combined with the A-B point comparison method is the ideal algorithm procedure for early NRLN identification.

Diagnosis, anatomy and electromyography profiles of 73 nonrecurrent laryngeal nerves

Gianlorenzo Dionigi
;
2018-01-01

Abstract

Objective: To compare methods of detecting nonrecurrent laryngeal nerves (NRLNs). Methods: Specificity and sensitivity were compared in three NRLN detection methods: computed tomography (CT), electroymyography (EMG), and A-B point comparison. Results: A total of 73 intraoperative pictures and 36 CT details of NRLNs are pre- sented. Incidence of NRLN was 0.39%. Type I NRLN comprised 50.7%, type IIA 45.2%, type IIB 4.1%. The NRLN median latency was 2.13 ms vs 3.00 ms median in an RLN control group (P < .001). When the threshold was set to 2.5 ms, EMG latency detection had 96.7% sensitivity and 91.6% specificity for detecting NRLN, and the A-B point comparison algrithm had 97.3% sensitivity and 92.5% specific- ity. Combining EMG latency detection with A-B point comparison achieved 100% sensitivity and specificity for detecting NRLN. Conclusion: This is the largest series of NRLN presented in the literature. Latency shorter than 2.50 ms combined with the A-B point comparison method is the ideal algorithm procedure for early NRLN identification.
2018
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3127310
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