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Page 14 of 17       Priya et al. J Cancer Metastasis Treat 2021;7:70  https://dx.doi.org/10.20517/2394-4722.2021.122

               RECENT ADVANCES AND FUTURE DIRECTIONS
               CIONM
               CIONM, with real time monitoring, alerts the surgeon to an impending injury before actual insult to the
               nerve. It removes the risk to the nerve due to the temporal gap (interval between stimulations) and spatial
               gap (distance between the site of stimulation and the site of injury) that can happen in intermittent IONM
               (IIONM) . Thus, the probability of permanent vocal cord palsy with CIONM is less than that of
                       [57]
                      [46]
               IIONM . The lower risk of injury to the RLN translates into higher conversion to total thyroidectomy with
               the use of CIONM, as was concluded by Schneider et al.  in their study of 1314 nerves at risk. The caveat is
                                                              [46]
               the need for extra dissection not just of the carotid sheath but also 360-degree release of the vagus for
               mounting and accommodating the stimulating electrode. It has been nonetheless found to be safe with
               respect to voice outcomes even in professional voice users . Additionally, continuous albeit low-voltage
                                                                  [58]
               stimulation of the vagus was feared to potentially increase the risk of heart blocks especially in a patient with
               heart disease. This has been negated by available data which suggest safety even in patients with heart
               blocks .
                    [59]
               Monitoring of the external branch of superior laryngeal nerve
               The International Neuromonitoring Study Group has defined the role of monitoring of External Branch of
               Laryngeal Nerve (EBSLN) . Several workers have demonstrated the feasibility and efficacy of IONM in
                                      [60]
               mapping the EBSLN [61,62] . The identification of the EBSLN has been shown to be consistently better with
                                                       [63]
               IONM as compared to visual identification . There may, however, be technical and instrumental
               modifications required for the proper recording of the EBSLN readings and these are still evolving.

               Use of IONM in remote access thyroidectomy
               IONM  has  been  demonstrated  to  be  useful  in  endoscopic  and  robotic  thyroidectomies  via  all
               approaches [64,65] . The voice outcomes are similar to non-IONM procedures though the recovery to normal
               speech has been seen to be more rapid with the use of IONM. CIONM is more easily integrated in such
                                                             [66]
               surgeries. However, there may be difficulties involved , and the rate of artifacts and false positives may be
               higher than in open surgeries.


               CONCLUSION
               IONM is a useful adjunct in thyroid surgeries, particularly in difficult thyroid cancers, as has been
               highlighted in the literature [67,68] . It helps not only to identify but also to preserve and prognosticate nerve
               injury with advances in precision recording. The learning curve of this technique is not unsurmountable.
               Having achieved that, incorporation of the IONM has a bearing on critical intraoperative decision-making
               with regards to patient safety. Continuing innovation in IONM design as well as the fast-emerging role of
               CIONM  will  further  enhance  the  efficacy  and  applicability  of  this  tool  even  in  remote  access
               thyroidectomies.

               DECLARATIONS
               Authors’ contributions
               Made substantial contributions to conception and design of study, data analysis and interpretation:
               Priya SR, Dandekar M
               Performed data acquisition, technical and material support: Garg S, Priya SR, Dandekar M

               Availability of data and materials
               Not applicable.
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