Abstract

The utilization of intra-operative recurrent laryngeal nerve monitoring in predicting vocal fold mobility after thyroid and parathyroid surgery

Highlights

  • Intraoperative recurrent laryngeal nerve (RLN) monitoring is a relatively new technology that has been utilized for its potential utility in helping surgeons identify the RLN, prevent and/or reduce iatrogenic nerve injury and predict post-operative vocal cord paralysis (VCP)

  • Miller FR (2016) The utilization of intra-operative recurrent laryngeal nerve monitoring in predicting vocal fold mobility after thyroid and parathyroid surgery preventing or lowering the incidence of iatrogenic nerve injury has not been shown, a number of studies point to the role of intraoperative monitoring in predicting postoperative nerve function [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30]

  • The risk of RLN injury during thyroid/parathyroid surgery ranges from 2% to 4% in experienced surgical hands

Read more

Summary

Introduction

Intraoperative recurrent laryngeal nerve (RLN) monitoring is a relatively new technology that has been utilized for its potential utility in helping surgeons identify the RLN, prevent and/or reduce iatrogenic nerve injury and predict post-operative vocal cord paralysis (VCP). The utilization of IONM has been suggested to aid in intraoperative nerve identification and provide feedback to the surgeon as they dissect and manipulate the nerve [12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33] Another important role of intraoperative nerve monitoring is its ability to predict postoperative nerve function. This becomes useful in surgical cases where intraoperative nerve dissection and traction/thermal injury may have resulted in a paresis of the nerve. This real time assessment of the nerve function allows the surgeon to integrate the information into intraoperative decision making, and in select cases consider staging the contralateral nerve dissection

Objectives
Methods
Findings
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.