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Diagnosis, anatomy, and electromyography profiles of 73 nonrecurrent laryngeal nerves
Author(s) -
Wang Tie,
Dionigi Gianlorenzo,
Zhang Daqi,
Bian Xuehai,
Zhou Le,
Fu Yantao,
Zhang Guang,
Liu Xiaoli,
Sun Hui
Publication year - 2018
Publication title -
head and neck
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.012
H-Index - 127
eISSN - 1097-0347
pISSN - 1043-3074
DOI - 10.1002/hed.25391
Subject(s) - medicine , nuclear medicine , radiology
Background The purpose of this work was to compare methods of detecting nonrecurrent laryngeal nerves (NRLNs). Methods Specificity and sensitivity were compared in three NRLN detection methods: CT, electromyography (EMG), and A‐B point comparison. Results A total of 73 intraoperative pictures and 36 CT details of NRLNs are presented. Incidence of NRLN was 0.39%. Type I NRLN accounted for 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% specificity. 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.