Publications by authors named "P Gonzalez-Lopez"

Introduction: While cadaveric dissections remain the cornerstone of education in skull base surgery, they are associated with high costs, difficulty acquiring specimens, and a lack of pathology in anatomical samples. This study evaluated the impact of a hand-crafted three-dimensional (3D)-printed head model and virtual reality (VR) in enhancing skull base surgery training.

Research Question: How effective are 3D-printed models and VR in enhancing training in skull base surgery?

Materials And Methods: A two-day skull base training course was conducted with 12 neurosurgical trainees and 11 faculty members.

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A 43-year-old man was admitted into the emergency room at our hospital after presenting with a tonic-clonic seizure. MRI showed a right-side operculo-insular tumor. This was treated by performing a craniotomy under general anesthesia with intraoperative monitoring.

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Background And Objectives: Access to neurosurgical care is limited in low-income and middle-income countries (LMICs) and in marginalized communities in high-income countries (HICs). International partnerships represent one possible means of addressing this issue. Insights from surgeons in HICs have been explored, but data from LMICs' counterparts are scarce.

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Introduction: Surgery of lesions in the posterior wall of the third ventricle requires great expertise due to its deep location and important surrounding structures. This region has been traditionally reached through a supracerebellar infratentorial approach, but new options have emerged, especially with the development of neuroendoscopy.

Methods: One formalin-fixed cadaver human head was dissected.

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Background: Family and professional caregivers of individuals with dementia often witness care-receiver's lucidity events.

Objective: A qualitative data analysis was performed of documented family and professional caregivers' experiences and their respective appraisals of lucidity events.

Research Design And Methods: Using a reduction method of selection, data from 10 in-home family caregivers and 20 professional caregivers to long-term care residents was content-coded and analysed.

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