World Neurosurg
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Comparative Study
Enhancing Diagnostic Support for Chiari Malformation and Syringomyelia: A Comparative Study of Contextualized ChatGPT Models.
The rapidly increasing adoption of large language models in medicine has drawn attention to potential applications within the field of neurosurgery. This study evaluates the effects of various contextualization methods on ChatGPT's ability to provide expert-consensus aligned recommendations on the diagnosis and management of Chiari Malformation and Syringomyelia. ⋯ The enhanced performance observed in response to ChatGPT4 contextualization suggests broader applications of large language models in neurosurgery than what the current literature indicates. This study provides proof of concept for the use of contextualized GPT models in neurosurgical contexts and showcases the easy accessibility of improved model performance.
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Radiation induced changes (RIC) are the most common complications observed post Gamma Knife radiosurgery (GKRS) and may be observed within 6-18 months post procedure. It has been observed that almost one-third of RICs are symptomatic and half of them are persistent. There is no way to predict which patients will develop these changes and to what extent. ⋯ Some patients may develop resistant edema and necrosis post GKRS for intracranial AVMs, which may warrant medical and surgical intervention. Serum biomarkers like VEGF and endostatin may vary in the post GKRS period and can be used to identify at-risk cases, however more studies are needed to decide on appropriate time of sampling and identify clinically relevant predictive factors.
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Despite their asymptomatic occurrence, unruptured intracranial aneurysms (UIAs) account for a significant proportion of hospital charges and healthcare resource utilization in the United States. Hospital length of stay (LOS) is a reimbursement metric utilized to incentivize value-based care. Our study identifies predictors of extended LOS (eLOS) after elective treatment of UIAs. ⋯ Our study identified predictors of eLOS that could help promote risk stratification prior to treatment of UIAs. Future research that identifies predictors of long-term outcomes based on treatment modality could help identify ways to improve healthcare resource utilization in this cohort.
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The estimation of survival is extremely important for metastatic disease in the spine. The aim of this study was to determine the factors affecting the outcome of patients with spinal metastasis, primarily the character of neurologic deficit and the histopathology of the tumor. ⋯ The neurologic and ambulatory status, the Tomita and Tokuhashi scores, intradural localization, and gender are the factors with a significant effect on prognosis.
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Neurofilament light chain (NfL), a biomarker reflecting neuro-axonal damage, may be useful in improving clinical outcome prediction after aneurysmal subarachnoid hemorrhage (aSAH). We explore the robust and additional value of NfL to neurologic and radiologic grading scales in predicting poor outcome after aSAH. ⋯ In the entire aSAH cohort, plasma NfL has an acceptable predictive performance but does not improve clinical outcome prediction. However, NfL may have potential value in subgroups based on hemorrhage severity.