World Neurosurg
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Spinal chordomas are locally aggressive and frequently recurrent tumors with a poor prognosis. Previous studies focused on a Cox regression model to predict the survival of patients with spinal chordoma. We aimed to develop a more effective model based on deep learning for prognosis prediction in spinal chordoma. ⋯ We successfully constructed a deep learning model to predict the CSS of spinal chordoma patients and proved that it was more accurate and practical than conventional prediction model. Our deep learning model has the potential to guide clinicians in better care planning and decision-making.
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Accurate and on-time confirmation of brain death (BD) is necessary to prevent unnecessary treatment and allow for well-timed organ harvest for transplantation. Although the clinical criteria for BD are legally reliable in some countries, others might prefer complementary ancillary tests to assess the brain's electrical activity and/or blood circulation. The present study aims to define the sensitivity and specificity of computed tomography angiography using 4-, 7-, and 10-point tests compared with the clinical criteria and electroencephalographic findings in patients with BD. ⋯ According to our findings, the CTA-based 4-point scoring system with 100% specificity can be used with the clinical examination findings to confirm BD.
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Although unplanned readmission is a postoperative outcome metric associated with significant morbidity and financial burden, precise assessment tools for its prediction have not yet been developed. The Risk Analysis Index (RAI) could potentially be used to help improve the prediction of unplanned readmissions for patients undergoing intracranial tumor resection (ITR). In the present study, we evaluate the predictive accuracy of frailty on 30-day unplanned readmission after ITR using the RAI. ⋯ The RAI is a reliable preoperative frailty index for predicting unplanned readmissions after ITR. Using the RAI could decrease unplanned readmissions by identifying high-risk patients and enabling future implementation of appropriate management guidelines.
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Case Reports
Novel Use of Robotically Harvested Internal Thoracic Artery in High-Flow Cerebral Bypass.
Mesenchymal tumors of the head and neck can lead to tumor-induced osteopeni, necessitating a biochemical cure to alleviate associated symptoms. We present a case of a 40-year-old man who presented with diffuse pain and wheelchair dependency secondary to a skull base mesenchymal tumor producing tumor-induced osteopeni. The tumor involved the cavernous sinus, infratemporal fossa, and middle cranial fossa. ⋯ The residual biochemical disease was then addressed via supplemental radiosurgery. The patient's clinical outcome was favorable, with regained ambulatory function and resolution of initial symptoms. Unfortunately, he developed left optic neuropathy due to the embolization of the external carotid artery feeders.
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Near-infrared spectroscopy (NIRS) is a noninvasive tool to monitor cerebral regional oxygen saturation. Impairment of microvascular circulation with subsequent cerebral hypoxia during delayed cerebral ischemia (DCI) is associated with poor functional outcome after subarachnoid hemorrhage (SAH). Therefore, NIRS could be useful to predict the risk for DCI and functional outcome. However, only limited data are available on NIRS regional cerebral tissue oxygen saturation (rSO2) distribution in SAH. The aim of this study was to compare the distribution of NIRS rSO2 values in patients with nontraumatic SAH with the occurrence of DCI and functional outcome at 2 months. In addition, the predictive value of NIRS rSO2 was compared with the previously validated SAFIRE grade (derived from Size of the aneurysm, Age, FIsher grade, World Federation of Neurosurgical Societies after REsuscitation). ⋯ NIRS rSO2 monitoring in patients with SAH may improve prediction of DCI and clinical outcome after SAH.