Schneider Rick, Machens Andreas, Lorenz Kerstin, Dralle Henning
Medical Faculty, Department of Visceral, Vascular and Endocrine Surgery, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Department of General, Visceral and Transplantation Surgery, Section of Endocrine Surgery, University of Duisburg-Essen, Essen, Germany.
Gland Surg. 2020 Feb;9(Suppl 2):S120-S128. doi: 10.21037/gs.2019.11.04.
Over the past two decades, intraoperative neural monitoring (IONM) has matured into a powerful risk minimization tool. Meta-analyses of studies, most of which were limited by poor study designs and the sole use of intermittent nerve stimulation, failed to demonstrate superiority of IONM over anatomic recurrent laryngeal nerve (RLN) dissection in the absence of IONM. With the advent of continuous IONM (CIONM), intraoperative nerve electromyographic tracings, registered almost in real time during the operation, accurately predict postoperative vocal fold function when International Neural Monitoring Study Group quality standards are adhered to. CIONM aids in avoiding permanent traction-related nerve injury by urging surgeons to reverse harmful surgical maneuvers. CIONM also forms an integral part in the surgical concept of staged thyroidectomy. Delaying completion surgery on the other side until nerve function has recovered mitigates the risk of bilateral vocal fold palsy. CIONM has greatly furthered our understanding of functional RLN injury, enabling conception of effective risk minimization strategies tailored to the individual patient. The review summarizes the advances of continuous IONM technology that caused a quantum leap in risk minimization for thyroid surgery, shifting current paradigms.
在过去二十年中,术中神经监测(IONM)已发展成为一种强大的风险最小化工具。对研究的荟萃分析大多受限于研究设计不佳以及仅使用间歇性神经刺激,未能证明在未使用IONM的情况下IONM比解剖性喉返神经(RLN)解剖更具优势。随着连续IONM(CIONM)的出现,术中神经肌电图描记在手术过程中几乎实时记录,当遵循国际神经监测研究组的质量标准时,可准确预测术后声带功能。CIONM通过促使外科医生扭转有害的手术操作,有助于避免永久性牵拉相关神经损伤。CIONM也是分期甲状腺切除术手术理念的一个组成部分。在神经功能恢复之前推迟对另一侧的手术完成,可降低双侧声带麻痹的风险。CIONM极大地增进了我们对功能性RLN损伤的理解,使我们能够针对个体患者制定有效的风险最小化策略。本综述总结了连续IONM技术的进展,该技术在甲状腺手术风险最小化方面实现了巨大飞跃,改变了当前的模式。