World Neurosurg
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Meta Analysis
Machine learning algorithms for the rupture risk assessment in intracranial aneurysms: a diagnostic meta-analysis.
Several machine learning algorithms have been increasingly applied to predict the rupture risk of intracranial aneurysms. We performed the present diagnostic meta-analysis to comprehensively evaluate the diagnostic value of machine learning algorithms for assessing the rupture risk of intracranial aneurysms. ⋯ Our findings have demonstrated that the diagnostic performance of machine learning algorithms for the rupture risk assessment of AIs is excellent. Considering that the negative effects resulted from the limited number of eligible studies, we suggest developing more well-designed studies with larger sample sizes to validate our findings.
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India has one of the highest TBI burdens due to road traffic accidents (RTAs), with 60% of head injuries being attributable to RTA and more than 150,000 lives being lost annually due to traumatic brain injury (TBI). These numbers have prompted institutions and organizations at international, national, and local levels to mobilize and address this burden through prevention, prehospital care, and in hospital care. Academic institutions such as Andhra Medical College have run local campaigns promoting the wearing of helmets when riding 2-wheelers. ⋯ Institutions such as American Association of Physicians of Indian Origin, NSI, and NTSI have collaboratively developed TBI management guidelines that are specific to the Indian population (supported by American Association of South Asian Neurosurgeons). Non-governmental organizations such as the Indian Head Injury Foundation and Save Life Foundation have contributed to this movement by promoting awareness through campaigns and public education. While TBI remains a large burden in India, a mobilization and coalesced efforts of such a scale holds promise for tackling this burden.
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Neurosurgical conditions are a substantial contributor to surgical burden worldwide, with low- and middle-income countries carrying a disproportionately large part. Policy initiatives such as the National Surgical, Obstetrics and Anesthesia Plans and Comprehensive Policy Recommendations for the Management of Spina Bifida and Hydrocephalus in Low-and-Middle-Income countries have highlighted the need for an intersectoral approach, not just at the hospital level but on a large scale encompassing national public health strategies. This article aims to show through case studies how addressing this surgical burden is not limited to the clinical context but extends to public health strategies as well. ⋯ Despite the importance of public health efforts in addressing neurosurgical conditions, there is a lack of neurosurgeon involvement in public health and lack of integration of neurosurgical burden in national health planning systems. It is imperative that neurosurgeons advocate for and are included in aspects of public health policy. Neurosurgery does not stop within the bounds of the hospital, and neither should the role of a neurosurgeon.
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To compare the outcomes of joint resection versus fusion in patients who undergo operative treatment for Bertolotti syndrome. ⋯ Patients with Bertolotti syndrome who underwent surgical fusion across the transitional lumbosacral vertebrae had a higher rate of long-term pain improvement compared to patients who had resection of the abnormal pseudoarticulation.
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Laser interstitial thermal therapy (LITT) is an emerging treatment modality for both primary brain tumors and metastases. We report initial outcomes after LITT for metastatic brain tumors across 3 sites at our institution and discuss potential strategies for optimal patient selection and outcomes. ⋯ LITT was associated with sustained local control in 81.8% of patients treated for radiographic progression of metastatic central nervous system disease.