Zhao Yishen, Zhao Zihan, Zhang Daqi, Han Yujia, Dionigi Gianlorenzo, Sun Hui
Division of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, Changchun, China.
Division of General Surgery, Head, Endocrine Surgery Section, Istituto Auxologico Italiano IRCCS, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Gland Surg. 2021 Sep;10(9):2847-2860. doi: 10.21037/gs-21-518.
To review the published literature on external branch of superior laryngeal nerve (EBSLN) neural monitoring and propose a new EBSLN classification system using intraoperative neural monitoring (IONM).
The injury rate of the external branch of the superior laryngeal nerve (EBSLN) in thyroid surgery is 0-58%. Symptoms of EBSLN injury are not consistent, and patients often complain of modification of the voice timbre with the preservation of vocal cord function. Standards for the diagnosis of EBSLN injury are lacking.
The PubMed database was searched using the terms 'External branch of the superior laryngeal nerve' and 'Intraoperative neuromonitoring' from 2010 through March 2020.
This paper reviewed the anatomy of the EBSLN, the diagnosis and treatment of injury, and the application of IONM in the EBSLN. The traditional EBSLN classification method was analyzed and compared with our new classification method. The diagnosis of EBSLN injury is a problem that still needs to be resolved. For anatomic classifications of the EBSLN, we found that the conventional classification systems may not accurately reflect the real status of the EBSLN and the surgical risks that may occur intraoperatively. Using IONM, we developed an EBSLN classification method that was consistent with conventional diagnosis and treatments and can be widely and easily utilized during surgery.
回顾已发表的关于喉上神经外支(EBSLN)神经监测的文献,并提出一种使用术中神经监测(IONM)的新的EBSLN分类系统。
甲状腺手术中喉上神经外支(EBSLN)的损伤率为0%-58%。EBSLN损伤的症状并不一致,患者常主诉音色改变而声带功能保留。目前缺乏EBSLN损伤的诊断标准。
在PubMed数据库中检索2010年至2020年3月期间使用“喉上神经外支”和“术中神经监测”等关键词的文献。
本文回顾了EBSLN的解剖结构、损伤的诊断和治疗以及IONM在EBSLN中的应用。分析了传统的EBSLN分类方法并与我们的新分类方法进行比较。EBSLN损伤的诊断仍是一个有待解决的问题。对于EBSLN的解剖分类,我们发现传统分类系统可能无法准确反映EBSLN的真实状态以及术中可能出现的手术风险。通过使用IONM,我们开发了一种与传统诊断和治疗方法一致且在手术中可广泛且轻松应用的EBSLN分类方法。