World Neurosurg
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BRAINterns 2.0: durability of webinar-based education and social media beyond the COVID-19 pandemic.
Webinars offer novel educational opportunities beyond those of traditional, in-person experiences. BRAINterns is an open-access webinar-based education platform created to replace opportunities lost during the coronavirus disease 2019 pandemic. This program previously showed the efficacy of webinars to expand access to careers in medicine, and in particular, neurosurgery. BRAINterns 2.0 was established to assess the durability of Web-based learning. ⋯ Webinar-based education programs continue to be of interest to students in an increasingly digital world. Social media, and specifically the use of educational ambassadors, are effective to improve visibility of educational programs across a diverse population of students. Understanding the desires of participants is critical to building a successful online education platform.
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A man in his early 20s presented with diplopia. Imaging revealed a pineal region hemorrhagic lesion, suggestive of cavernous malformation.1-6 The patient underwent an endoscopic third ventriculostomy and was transferred to our institution. In the sitting position, he underwent a supracerebellar infratentorial approach. ⋯ Gravity retraction of the cerebellum was achieved with the supracerebellar infratentorial approach in the sitting position, torcular craniotomy exposed the major sinuses, and drainage of cerebrospinal fluid widened the surgical corridor and facilitated resection of this lesion (Video 1). Histopathological findings are critical to establish the correct diagnosis because magnetic resonance imaging findings can be misleading. The patient provided written informed consent for the procedure.
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We aimed to describe the initial experience of mechanical thrombectomy using tandem double stent retrievers combined with intermediate catheter aspiration to treat refractory severe hemorrhagic (SH)-cerebral venous sinus thrombosis (CVST). ⋯ MT-TDSA for refractory SH-CVST might improve clot-capturing ability and remove blood clots from cerebral venous sinuses effectively and safely, achieving good clinical outcomes.
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With the emergence of the concept of value-based care, efficient resource allocation has become an increasingly prominent factor in surgical decision-making. Validated machine learning (ML) models for cost prediction in outpatient spine surgery are limited. As such, we developed and internally validated a supervised ML algorithm to reliably identify cost drivers associated with ambulatory single-level lumbar decompression surgery. ⋯ The gradient-boosted ensemble model predicted total charges and associated cost drivers associated with ambulatory single-level lumbar decompression using a large, statewide database with excellent performance. External validation of this algorithm in future studies may guide practical application of this clinical tool.