World Neurosurg
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This study explores the vital elements of patient satisfaction in hospital settings, with an emphasis on the aspects of service quality and patient-hospital interaction. It looks at how patients perceive several aspects of service quality, such as assurance, tangibility, empathy, responsiveness, and consistency. ⋯ The study emphasizes the value of excellent patient-hospital interactions and the importance of communication, empathy, and trust-building in promoting these outcomes.
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This case report describes an 84-year-old female patient with a growing chronic subdural hematoma (CSDH) that showed an enhanced subdural hyperintense band on magnetic resonance diffusion-weighted imaging over time, indicating that it reflects fresh bleeding from the outer membrane covering the hematoma. The presence of subdural hyperintense band on magnetic resonance diffusion-weighted imaging of CSDH, possibly reflecting hemorrhagic diathesis of the outer membrane, might be a predictor of enlargement of CSDH.
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Headache (HA) is the most common symptom impacting the quality of life of patients with Chiari I malformation. While HAs typically present in the occipital or suboccipital regions, and induced by Valsalva maneuver, complex migraine-like HAs referring to frontal or orbital regions also occur. Our study explores the therapeutic potential of C1 nerve root decompression in addition to increasing intracranial compliance in patients with Chiari I malformation. ⋯ Our findings suggest that C1 root compression contributes to atypical HAs in Chiari I malformation and that C1 root decompression may improve surgical outcomes.
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Mixed gangliocytoma-pituitary adenomas (MGPAs) are very rare sellar neoplasms. Contemporary understanding of their natural history, clinical characteristics, optimal management strategies, and prototypical outcomes remains poorly understood. ⋯ MGPAs are rare, slow-growing tumors that present with a combination of endocrinological and neurological symptoms. MGPAs are optimally managed with transsphenoidal resection, which appears to achieve favorable rates of symptomatic relief and local control despite the high incidence of local infiltration and relatively low attendant gross total resection rate.
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To assess the efficacy of machine learning models in identifying factors associated with the need for permanent ventricular shunt placement in patients experiencing intracerebral hemorrhage (ICH) who require emergency cerebrospinal fluid (CSF) diversion. ⋯ This research demonstrates that machine learning models can effectively predict the need for permanent CSF diversion in patients with ICH who underwent external ventricular drain placement for urgent CSF diversion, offering important prognostic insights that could facilitate early intervention and lead to potential cost reductions.