Asian journal of neurosurgery · 2026
Intraoperative Monitoring for Spine Surgery in LMICs: Applications, Outcomes, and Access Disparities.
СтатьяОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Wireko Andrew Awuah, Roy Subham, Nkrumah-Boateng Princess Afia, Ben-Jaafar Adam, Tan Joecelyn Kirani, Mannan Krishitha M, Abdul-Rahman Toufik, Atallah Oday
Аннотация
Intraoperative neuromonitoring (IONM) has become an essential tool in modern spine surgery to protect neural structures and minimize the risk of neurological complications. Various IONM techniques, such as motor evoked potentials, electromyography, transcranial motor stimulation, and somatosensory evoked potentials, have been developed to allow surgeons to monitor spinal cord and nerve function in real time and make critical decisions that improve surgical outcomes and reduce neurological deficits. IONM has been effective in improving surgical precision and patient safety in low- and middle-income countries, where spine surgery for degenerative conditions, spinal cord injuries, tumors, and deformities is further complicated by limited healthcare resources. Multimodal IONM is particularly useful in these regions to reduce postoperative neurological deficits and reduce costs by avoiding the need for corrective surgery and extensive rehabilitation. However, there are challenges, including infrastructure and workforce deficiencies, economic constraints, lack of standardized guidelines, and variability of IONM that limit wider implementation. IONM also does not eliminate intraoperative complications, where false positives, false negatives, and signal interpretation problems remain risks. However, the integration of IONM into high-risk spine surgery is a promising strategy to improve outcomes, particularly in resource-limited settings.