DEVELOPMENT AND VALIDATION OF NOMOGRAM TO PREOPERATIVELY PREDICT INTRAOPERATIVE CEREBROSPINAL FLUID LEAKAGE IN ENDOSCOPIC PITUITARY SURGERY: A RETROSPECTIVE COHORT STUDY

Development and Validation of Nomogram to Preoperatively Predict Intraoperative Cerebrospinal Fluid Leakage in Endoscopic Pituitary Surgery: A Retrospective Cohort Study

BackgroundPituitary adenomas (PAs) are the most common tumor of the sellar region.PA resection is the preferred treatment for patients with clear indications for surgery.Intraoperative cerebrospinal fluid (iCSF) leakage is a major complication of PA resection surgery.Risk factors for iCSF leakage have been studied previously, but a predictive nomog

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Analysis and Optimization of the Spatial Patterns of Commercial Service Facilities Based on Multisource Spatiotemporal Data and Graph Neural Networks: A Case Study of Beijing, China

As a crucial component of urban economic activities, the layout and optimization of urban commercial spaces directly influence the economic prosperity and quality of Cortador de Legumes 10 em 1 Multifunctional life of residents.Therefore, comprehensively and accurately characterizing the distribution characteristics and evolutionary patterns of urb

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