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Related Experiment Video

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Minimal Invasive Resection of Large Retrosternal Thyroid Goiter

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Published on: September 20, 2024

IONM and minimally invasive videoassisted thyroidectomy.

P Del Rio, F Cozzani, P C Nisi

Il Giornale Di Chirurgia

|November 17, 2018

Summary

Intraoperative neural monitoring (IONM) enhances safety in minimally invasive video-assisted thyroidectomy (MIVAT) by improving precision and reducing vocal cord palsy. This technique aids surgeons in identifying the recurrent laryngeal nerve during thyroid surgery.

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Area of Science:

Endocrine Surgery
Surgical Technology
Neurosurgery

Background:

Minimally Invasive Video-Assisted Thyroidectomy (MIVAT) offers cosmetic and pain benefits over conventional thyroidectomy (CT).
Recurrent laryngeal nerve (RLN) identification is crucial for preventing vocal cord palsy during thyroid surgery.
Intraoperative neural monitoring (IONM) was implemented for all thyroidectomies, including MIVAT, since September 2014.

Purpose of the Study:

To evaluate the safety and efficacy of MIVAT combined with IONM.
To assess the incidence of complications such as vocal cord palsy and hypocalcemia.
To analyze surgical outcomes including operative time and hospital stay.

Main Methods:

A retrospective analysis of 100 patients undergoing MIVAT with IONM between September 2014 and September 2017.
Intermittent neuromonitoring using NIM-3.0 equipment.
Data collected included patient demographics, surgical details, IONM signals, and postoperative outcomes (pain, hypocalcemia, hematoma, vocal cord palsy).

Main Results:

100 patients (26 hemithyroidectomy, 74 total thyroidectomy) were analyzed.
Mean surgical time was 61.8 minutes.
IONM detected signal loss in 5% of cases and temporary vocal cord palsy occurred in 2% of patients.

Conclusions:

IONM significantly enhances the safety of thyroidectomy, particularly when combined with endoscopic techniques like MIVAT.
The complementary use of IONM improves surgical precision, further reducing the risk of nerve injury.
Further investigation is needed to assess the economic impact of reduced medical litigation.