Journal of neurosurgery
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Journal of neurosurgery · Oct 2023
Convergence of the arcuate fasciculus and third branch of the superior longitudinal fasciculus with direct cortical stimulation-induced speech arrest area in the anterior ventral precentral gyrus.
The objective was to identify the correspondence between the anterior terminations of the arcuate fasciculus (AF) and third branch of the superior longitudinal fasciculus (SLF-III) and the intraoperative direct cortical electrical stimulation (DCS)-induced speech arrest area. ⋯ This study supports the key role of the left vPCGa as the speech output node by showing convergence between speech output mapping and anterior AF/SLF-III connectivity in the vPCGa. These findings may contribute to the understanding of speech networks and could have clinical implications in preoperative surgical planning.
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Journal of neurosurgery · Oct 2023
Surgical, functional, and oncological considerations regarding awake resection for giant diffuse lower-grade glioma of more than 100 cm3.
Surgery for giant diffuse lower-grade gliomas (LGGs) is challenging, and very few data have been reported on this topic in the literature. In this article, the authors investigated surgical, functional, and oncological aspects in patients who underwent awake resection for large LGGs with a volume > 100 cm3. ⋯ With the application of rigorous surgical methodology based on functional-guided resection, resection of giant LGGs (volume > 100 cm3) can be reproducibly achieved during surgery with patients under awake mapping with both favorable functional results (< 1% permanent neurological worsening) and favorable long-term oncological outcomes (median OS > 11 years, with a more significant benefit when the RTV is < 15 cm3).
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Journal of neurosurgery · Oct 2023
Validation of an automated machine learning algorithm for the detection and analysis of cerebral aneurysms.
Machine learning algorithms have shown groundbreaking results in neuroimaging. The authors herein evaluated the performance of a newly developed convolutional neural network (CNN) to detect and analyze intracranial aneurysms (IAs) on CTA. ⋯ The described Viz.ai Aneurysm CNN performed well in identifying the presence or absence of IAs in an independent validation imaging set. Further studies are necessary to investigate the impact of the software on detection rates in a real-world setting.
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Journal of neurosurgery · Oct 2023
Reappraisal of the anatomy of the frontotemporal branches of the facial nerve.
The anatomy of the temporal branches of the facial nerve (FN) has been widely described in the neurosurgical literature because of its relevance in anterolateral approaches to the skull base and implication in frontalis palsies from these approaches. In this study, the authors attempted to describe the anatomy of the temporal branches of the FN and identify whether there are any FN branches that cross the interfascial space of the superficial and deep leaflets of the temporalis fascia. ⋯ The temporal branch of the FN gives off a twig that anastomoses with the zygomaticotemporal nerve, which crosses the superficial and deep leaflets of the temporal fascia. Interfascial surgical techniques aimed at protecting the frontalis branch of the FN are safe in their efforts to protect against frontalis palsy with no clinical sequelae when executed properly.
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Journal of neurosurgery · Oct 2023
Applying objective metrics to neurosurgical skill development with simulation and spaced repetition learning.
Surgical skills laboratories augment educational training by deepening one's understanding of anatomy and allowing the safe practice of technical skills. Novel, high-fidelity, cadaver-free simulators provide an opportunity to increase access to skills laboratory training. The neurosurgical field has historically evaluated skill by subjective assessment or outcome measures, as opposed to process measures with objective, quantitative indicators of technical skill and progression. The authors conducted a pilot training module with spaced repetition learning concepts to evaluate its feasibility and impact on proficiency. ⋯ Participants who underwent a 6-week simulation course showed significant objective improvement in technical indicators, particularly individuals who were early in their training. Small, nonrandomized grouping limits generalizability regarding degree of impact; however, introducing objective performance metrics during spaced repetition simulation would undoubtedly improve training. A larger multiinstitutional randomized controlled study will help elucidate the value of this educational method.