World Neurosurg
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Magnetic resonance-guided laser interstitial thermal therapy (MRgLITT) is a commonly used clinical method of destroying intracranial brain foci. Our objective was to correlate the thermal damage estimate transition zone with cognitive outcomes in MRgLITT of a pediatric hypothalamic hamartoma. ⋯ Involvement of the bilateral mesial circuits visualized with TDE and TZ could account for the neurocognitive outcomes of our patient. We highlight this case as our understanding of thermography analysis evolves, emphasizing principles of technique and trajectory planning, as well as considerations during thermablation to help inform surgical decision-making.
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Acute colonic pseudo-obstruction (ACPO) is a potentially highly morbid surgical complication. The incidence of ACPO following spinal trauma is unknown, but is likely higher than after elective spinal fusion. The purpose of this study was to establish the incidence of ACPO in patients with major trauma undergoing spinal fusion for unstable thoracic and lumbar fracture, and secondly, to characterize the nature of ACPO in this group, including treatment and complications. ⋯ ACPO occurred at a high frequency in this group of patients, although it required relatively simple treatment. High vigilance for ACPO should be maintained in trauma patients requiring thoracic or lumbar fixation, with a view to early intervention. The etiology driving the high rates of ACPO in this cohort is not understood and would benefit from further investigation.
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This study aimed to assess the effectiveness of machine learning (ML) algorithms in predicting short-term adverse postoperative outcomes after cervical disc arthroplasty (CDA) and to create a user-friendly and accessible tool for this purpose. ⋯ ML approaches have the potential to predict postoperative outcomes after CDA surgery. As the amount of data in spinal surgery grows, the development of predictive models as clinically useful decision-making tools may significantly improve risk assessment and prognosis. We present and make publicly available predictive models for CDA intended to achieve the goals mentioned above.
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Robotic neurosurgery is a rapidly advancing field with numerous applications in various subspecialties, including spine, functional, skull base, and cerebrovascular. This study aims to provide a comprehensive analysis of the most-cited articles on robotic neurosurgery. ⋯ This study provides a comprehensive analysis of the most-cited articles on robotic neurosurgery. The broad range of topics and techniques explored emphasize the importance of continued innovation and investigation. Ultimately, the study's findings provide valuable guidance for future research and contribute to advancing our understanding of this critical area of study.