The first anatomical description of the recurrent laryngeal nerve (RLN) is due to Galen in the 2nd century AD, but only in the last century its importance has been understood by endocrine surgeons. RLN injury is a major complication of thyroid surgery and leads to vocal cord paralysis (VCP). RLN's visualization is the gold standard for integrity preservation. However, an anatomical intact nerve does not represent its functionality. Reviews of large case series have shown a unilateral VCP in 9.5%, while bilateral VCP in 1.3%. Instead, the permanent VCP rate is 1% –2%. Unilateral VCP can cause hoarseness, while bilateral VCP is associated with severe respiratory distress and requires a tracheostomy. However, both are associated with a significant impact on the patient's quality of life, on the cost for the National Sanitary System and may have medico-legal consequences.
Intraoperative neuromonitoring (IONM) has been developed on the principle of RLN and superior laryngeal nerve (SLN) identification. IONM helps the surgeon in nerves identification in order to reduce paralysis rates. In addition, it is used in the identification of clamping, ligation, compression, traction, thermal injury, or ischemia injuries, in which the RLN appears anatomically intact, but functionally damaged.
Intermittent (I-IONM) and continuous (C-IONM) intraoperative neuromonitoring can be considered an additional technique to the routine practice of visual identification of the RLN and SLN during thyroid surgery.
Many surgical societies and guidelines recommend the use of IONM, especially in surgery for recurrent cancer, locally advanced cancer or large goiters. However, Literature shows discordant results.
In C-IONM, nerve stimulation occurs throughout the endocrine procedure which provides a constant evaluation of nerve and vocal cord functional integrity. The probe can be applied directly to the vagus nerve. C-IONM methodologies allow potentially harmful surgical maneuvers to be modified in real time and thus has a role in the prevention and prediction of nerve damage.

Today, IONM is part of the common clinical practice of endocrine surgeons. In the United States, it is used by 53% of general surgeons and 65% of otolaryngologists. Numerous international guidelines suggest the routine use of the IOMN. The German Guidelines and the International Neural Monitoring Study Group Recommendation (INMSG) suggest the use of IONM in all thyroid and parathyroid surgeries. The Guidelines of the American Academy of Otolaryngology - Head and Neck Surgery (AAO - HNS) suggest the use of IOMM in cases of bilateral thyroid surgery, totalization and in existing cases of VCP. The American Thyroid Association (ATA) guidelines suggest the use of the IOMM as, in cases of outpatient surgery, it can give indications on neuronal functioning and facilitates discharge planning. Also, the guidelines of the American Head and Neck Society (AHNS) suggest that IOMM is important in cases of thyroid cancer.
Nerve lesions during thyroid surgery can be diagnosed directly with IONM and indirectly with postoperative fibrolaryngoscopy. Obviously, the lesion's severity varies according to the number of damaged fibers or the involvement of the myelin sheath. The function's recovery requires a time ranging from minutes to months. IONM can therefore be considered a safe technique since when the wave shape is preserved, in cases of LOS, the functionality of the vocal cord in the postoperative period is preserved. This is of fundamental importance in the two-stage planning of total thyroidectomy.
All patients undergoing thyroid and parathyroid surgery must undergo preoperative fibrolaryngoscopic examination. The preoperative evaluation helps to identify pre-existing paralysis or paresis, facilitating the surgeon in the diagnosis and in the planning of surgery.
In conclusion, IONM is a valuable technique, which adds information to the RLN and SLN integrity. IONM helps in defining nerve anatomy, predicting prognosis and intraoperative management. Further studies are needed on I- and C-IONM.






