Journal of neurosurgery
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Journal of neurosurgery · Apr 2024
The longitudinal risk of hemorrhage of melanoma brain metastases after Gamma Knife radiosurgery.
The objective of this study was to analyze the hemorrhagic risk of melanoma brain metastases after Gamma Knife radiosurgery (GKRS). ⋯ The definite hemorrhage risk of melanoma brain metastases after GKRS was 17% in the first 3 years and 95% of the lesional hemorrhage occurred within the 1st year. Surgical intervention was needed in 5% of patients. Antiplatelet agents and immune checkpoint inhibitors were associated with improved OS, while definite/possible hemorrhage was associated with worse OS.
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Journal of neurosurgery · Sep 2023
Magnetic resonance-guided focused ultrasound central lateral thalamotomy against chronic and therapy-resistant neuropathic pain: retrospective long-term follow-up analysis of 63 interventions.
Medial thalamotomies were introduced in the late 1940s. Pain relief was shown to be achieved for all body locations. With some exceptions, these early relatively small series showed frequent, more or less complete recurrence of the original pain. The posterior part of the central lateral nucleus in the human medial thalamus was identified in the 1990s using multiarchitectonic studies and intraoperative single-cell recordings and was confirmed as a surgical target. This retrospective patient series extended over 11 years. Its goal was to demonstrate the efficacy and risk profile of the MR-guided focused ultrasound (MRgFUS) central lateral thalamotomy (CLT) against chronic and therapy-resistant neuropathic (i.e., neurogenic) pain. ⋯ These results suggest that MRgFUS CLT against neuropathic pain is a safe approach and its results are stable over time. At a mean follow-up duration of 55 months, the mean pain relief was 42% and more than 50% of patients still reported ≥ 50% pain relief. Patients with classical and idiopathic trigeminal neuralgia reported a higher mean pain relief compared with the whole patient group.
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Journal of neurosurgery · Oct 2023
Review Meta AnalysisStroke management and outcomes in low-income and lower-middle-income countries: a meta-analysis of 8535 patients.
Strokes affect almost 13 million new people each year, and whereas the outcomes of stroke have improved over the past several decades in high-income countries, the same cannot be seen in low-income and lower-middle-income countries. This is the first study to identify the availability of diagnostic tools along with the rates of stroke mortality and other poststroke complications in low-income and lower-middle-income countries. ⋯ A severe healthcare disparity is present in low-income and lower-middle-income countries, where there is delayed diagnosis of strokes and increased rates of poor clinical outcomes for these patients.
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Journal of neurosurgery · Feb 2024
Multicenter StudyGrade 3 meningioma survival and recurrence outcomes in an international multicenter cohort.
Grade 3 meningioma represents a rare meningioma subtype, for which limited natural history data are available. The objective of this study was to identify demographics and pathologic characteristics, clinical and functional status outcomes, and prognostic factors in an international cohort of grade 3 meningioma patients. ⋯ This large multicenter study provides insight into the longitudinal outcomes of grade 3 meningioma, with respect to recurrence, survival, and functional status. This study affirms the survival benefit conferred by radiotherapy in this population and suggests good functional status outcomes for patients surviving to 5 years postoperatively.
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Journal of neurosurgery · Jan 2024
ReviewComputational modeling of whole-brain dynamics: a review of neurosurgical applications.
A major goal of modern neurosurgery is the personalization of treatment to optimize or predict individual outcomes. One strategy in this regard has been to create whole-brain models of individual patients. Whole-brain modeling is a subfield of computational neuroscience that focuses on simulations of large-scale neural activity patterns across distributed brain networks. ⋯ The resulting personalized whole-brain models have translational potential in neurosurgery, allowing investigators to simulate the effects of virtual therapies (such as resections or brain stimulations), assess the effect of brain pathology on network dynamics, or discern epileptic networks and predict seizure propagation in silico. The information gained from these simulations can be used as clinical decision support, guiding patient-specific treatment plans. Here the authors provide an overview of the rapidly advancing field of whole-brain modeling and review the literature on neurosurgical applications of this technology.