ReviewAdvances and technical standards in neurosurgery2025
Functional Posterior Rhizotomy with the Use of Intraoperative Neurophysiology.
Review in Advances and technical standards in neurosurgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Intraoperative neurophysiology (ION) plays a crucial role in dorsal rhizotomy, a procedure aimed at reducing spasticity while preserving neural function. ION encompasses monitoring and mapping, with the mapping of the root/rootlet constituting a significant component. Despite the acknowledged roles of ION, persistent controversies exist, and a universally accepted standard for integrating ION procedures into dorsal rhizotomy remains elusive. This chapter provides a detailed explanation of the author's approach to dorsal rhizotomy, with a primary focus on the decision-making process for root/rootlet cutting. This process involves tetanic electrical stimulation of dorsal root/rootlet for rhizotomy, pudendal mapping to prevent urological complications, and monitoring the bulbocavernosus reflex (BCR). Additionally, the chapter introduces the use of the F-wave for assessing spasticity. The author terms this ION-guided dorsal rhizotomy as "functional posterior rhizotomy," signifying a shift toward a more functionally oriented procedure extending beyond root selection. The application of ION in this procedure is systematic, ensuring both spasticity reduction and the preservation of urinary function. Decision-making for root/rootlet cutting is a multifactorial process, incorporating ION results, spasticity distribution, patient age, and preoperative function. This functional approach aims to minimize the cutting rate through the comprehensive utilization of ION procedures and a cutting rate formula correlating with the GMFM-88 score. In conclusion, ION proves integral to dorsal rhizotomy, facilitating functional root/rootlet selection for spasticity reduction, preserving neural function, and offering predictive insights into surgical outcomes.
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