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Intraoperative Monitoring for Spine Surgery in LMICs: Applications, Outcomes, and Access Disparities
Andrew Awuah Wireko1, Subham Roy2, Princess Afia Nkrumah-Boateng3
1Department of Research, Toufik's World Medical Organization, Sumy, Ukraine.
Asian Journal of Neurosurgery
|July 31, 2026
Summary
Intraoperative neuromonitoring (IONM) enhances spine surgery safety by monitoring nerve function. It
Area of Science:
- Neurosurgery
- Spinal Surgery
- Neuromonitoring
Background:
- Intraoperative neuromonitoring (IONM) is crucial for protecting neural structures during spine surgery.
- IONM minimizes the risk of neurological complications, improving patient outcomes.
- Spine surgery in low- and middle-income countries faces challenges due to limited resources.
Purpose of the Study:
- To evaluate the effectiveness and challenges of implementing IONM in spine surgery, especially in resource-limited settings.
- To highlight the role of multimodal IONM in improving surgical precision and patient safety.
- To assess IONM's potential to reduce postoperative deficits and healthcare costs.
Main Methods:
- Utilized various IONM techniques including motor evoked potentials, electromyography, transcranial motor stimulation, and somatosensory evoked potentials.
- Focused on real-time monitoring of spinal cord and nerve function during surgery.
- Analyzed the application of multimodal IONM in resource-limited environments.
Main Results:
- IONM has demonstrated effectiveness in improving surgical precision and patient safety.
- Multimodal IONM is particularly beneficial in resource-limited settings for reducing neurological deficits and costs.
- Challenges such as infrastructure deficits, economic constraints, and lack of guidelines hinder wider IONM implementation.
Conclusions:
- IONM is a promising strategy for improving outcomes in high-risk spine surgery, particularly in resource-limited settings.
- Despite challenges, IONM integration can lead to better surgical results and reduced neurological deficits.
- Continued efforts are needed to overcome implementation barriers and standardize IONM practices.
