World Neurosurg
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To identify the prognostic factors of surgical resection for meningioma and their relationship with patient outcomes. ⋯ Short duration of hospitalization and superficial location of the tumor are associated with optimal outcomes after surgical resection for patients with meningioma.
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Preoperative assessment is important for neurosurgical risk stratification, but the level of evidence for individual screening tests is low. In preoperative urinalysis (UA), testing may significantly increase costs and lead to inappropriate antibiotic treatment. We prospectively evaluated whether eliminating preoperative UA was noninferior to routine preoperative UA as measured by 30-day readmission for surgical site infection in adult elective neurosurgical procedures. ⋯ In this prospective study of preoperative UA for elective neurosurgical procedures using a pragmatic, real-world design, risk of readmission due to surgical site infection was very low across the study cohort, suggesting a limited role of preoperative UA for elective neurosurgical procedures.
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Case Reports
Case report: Successful use of BRAF/MEK inhibitors in aggressive BRAF-mutant craniopharyngioma.
Although a benign intracranial tumor, craniopharyngioma treatment has always been considered a challenging clinical problem. Recently, BRAF V600E mutation in the pathogenesis of papillary craniopharyngioma (PCP) has been further revealed. Thus, BRAF inhibitors (BRAFi) serve as an applicable treatment for patients with PCP. ⋯ Under specific conditions, individuals diagnosed with PCP can attain a complete tumor response following combined treatment with BRAFi/MEKi.
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To explore the clinical value of constructing a nomogram model based on apparent diffusion coefficient values within 1 cm of the residual tumor cavity to predict the postoperative progression of gliomas. ⋯ The peritumoral mADC values, degree of peritumoral enhancement, age, pathological grade, and degree of tumor resection were independent factors affecting the postoperative progression of glioma. The nomogram model established for the first time based on mADC values within 1 cm of the tumor can predict the postoperative condition of patients with glioma intuitively and comprehensively. It can provide a relatively accurate prediction tool for neurosurgeons to individualize the evaluation of survival and prognosis, and formulate treatment plans for patients.