Background: Cognitive decline is common in patients with Glioblastoma (GB), occurring in both treated and untreated cases. It frequently presents as impairments in memory, attention, language, or other cognitive functions. In addition, these cognitive deficits can affect quality of life, functional independence, and overall survival, and they are associated with psychiatric conditions such as anxiety and depression. Methods: This narrative review evaluates cognitive deficits in GB patients, both with and without treatment. It also explores the impact of tumor features such as size, location, and histology, along with patient characteristics such as age and education, and discusses the effects of standard therapies, such as surgery, chemotherapy, and radiotherapy, on cognitive outcomes. Results: Cognitive impairment in GB is influenced by tumor- and patient-specific factors, as well as treatment modalities. Initially, combination therapies such as surgery, radiotherapy, and chemotherapy may improve cognitive domains by reducing tumor burden, relieving cerebral edema, and reducing mass effects, subsequently bringing indirect effects of improved mental health and mood. While certain treatments like radiotherapy and chemotherapy carry risks of delayed neurotoxicity, studies indicate that, on balance, treated patients generally show better preservation or improvement in cognitive function than those who go untreated. However, excessive treatment aggressiveness and cumulative neurotoxic effects may diminish cognitive benefits. Conclusion: Cognitive function is an independent factor in GB, which could affect survival in GB patients, therefore making routine cognitive assessments essential for prognosis, treatment planning, and rehabilitation. Neuroprotective agents, cognitive rehabilitation, and personalized, multidisciplinary strategies can help optimize both survival and cognitive preservation.

Background: Cognitive decline is common in patients with Glioblastoma multiform (GBM) even with treatment modalities, and often presents as impairments in memory, attention, language, and other cognitive functions. In addition, cognitive deficits can affect the quality of life, functional independence, and survival and are associated with other psychological disorders such as anxiety and depression. Methods: This literature review evaluates the cognitive deficits in GBM patients with and without treatment. Then we explore the relationship between tumor characteristics such as size, location, histology, and patient characteristics such as age and education level, as well as whether existing therapies, such as surgery, chemotherapy, and radiotherapy, and any change in cognitive function. Results: Cognitive impairment in patients with GBM is affected by tumor characteristics, patient-specific factors, and treatment modalities however some treatments such as a combination of surgery, radiotherapy, and chemotherapy, initially were associated with improvement of cognitive outcomes because the treatments are related to reduced tumor burden, alleviation of cerebral edema, reduced mass effect, and then indirect effects of improved mental health and mood. While certain treatments, such as radiotherapy and chemotherapy pose risks of delayed neurotoxicity, the overall preservation and improvement of cognitive function were more pronounced in treated versus untreated patients. However, the studies suggest that beyond a certain level of treatment aggressiveness and the existence of neurotoxicity or damage, the benefit of therapy is above cognitive preservation. Conclusion: This review highlighted cognitive function as an independent factor that could affect survival in GBM patients, therefore routine cognitive assessments in clinical practice is a helpful strategy to predict the prognosis, treatment planning, and rehabilitation efforts. Interventions such as neuroprotective agents, cognitive rehabilitation programs, and personalized, multidisciplinary strategies are crucial in helping to balance treatment effectiveness with cognitive preservation.

Introduction and Importance: Pituitary apoplexy (PA) is a clinical syndrome caused by ischemia or hemorrhage of the pituitary gland, typically in the context of an adenoma. It typically presents with a thunderclap headache and sterile cerebral spinal fluid (CSF). The authors identify a case of PA, which initially presented with the signs and symptoms of viral meningitis. Presentation of Case: A 44-year-old man presented to the emergency department with headache, nuchal rigidity, fever, and delirium. The patient reported a 10-year history of chronic that were partially responsive to acetaminophen. Four days after admission, the patient developed right-sided cranial nerve III, IV, and VI palsies. Labs revealed anemia and hyponatremia. The CSF was leukocytic, lymphocyte-predominant, and had elevated protein. In addition to these results, negative CSF bacterial cultures led the care team to believe this case was viral meningoencephalitis. Routine MRI of the brain at presentation revealed a 3.1×2.5×3.2 (craniocaudal×anterior posterior×transverse) expansile mass centered within the sella turcica. An endocrine workup revealed hypopituitarism. The diagnosis of PA was then made. A microscopic transsphenoidal resection of the sellar mass was performed, and histopathologic analysis confirmed necrotic pituitary adenoma tissue. Following an uncomplicated procedure, the patient recovered fully from his cranial nerve palsies and continues to do well. Discussion: Because life-threatening hypotension from acute adrenal insufficiency can be caused by PA, timely diagnosis is crucial. When a patient presents with meningism, PA should be included in the differential diagnosis. Conclusion: This report illustrates a case of PA presenting with symptoms and a CSF profile classically associated with viral meningitis.

Dural arteriovenous fistulas (dAVFs) are a type of vascular malformation that form within the dura mater. Though historically considered rare, their detection is expected to increase with the broader use of advanced cerebral angiography techniques. We describe two 80-year-old men presented for neurovascular procedures. The first, following an emergency craniotomy for subdural hematoma (SDH) evacuation, underwent middle meningeal artery embolization (MMAE). During the procedure, an incidental, asymptomatic middle meningeal artery and superficial temporal artery to superior sagittal sinus (MMA/STA-SSS) dAVF was identified ipsilateral to the original surgical site. Given the fistula’s low-risk nature, a conservative, watchful waiting approach was chosen. The second patient, undergoing digital subtraction angiography (DSA) for subarachnoid hemorrhage (SAH), was found to have an MMA-fed dAVF. Due to the unclear causality of this fistula with the concurrent SAH and subdural hematoma (SDH), MMAE was performed to treat the dAVF. With the increasing use of cerebral angiography techniques such as MMAE and DSA for a broader range of indications, the incidence of incidentally and unexpectedly discovered dAVFs is expected to increase. Clinicians should become well-versed in recognizing this condition, treatment indications, and the various management options available, including endovascular embolization, radiosurgery, microsurgery, and serial monitoring.

Background: The Woven EndoBridge (WEB) device represents an innovative solution for cerebral aneurysm occlusion, particularly for challenging wide-neck bifurcation aneurysms. However, factors affecting sustained occlusion remain poorly understood. We utilized machine learning to attempt to identify predictors of favorable long-term outcomes following WEB treatment. Methods: In this multicenter retrospective study, we collected patient demographics, aneurysm characteristics, procedural details, and clinical outcomes. The primary endpoint was improvement in occlusion status, defined as maintained Raymond-Roy Occlusion Classification (RROC) grade 1, or improvement from grade 2 to 1, or from grade 3 to either 2 or 1 on final angiographic follow up. The dataset was split into training (75%) and validation (25%) sets. The CatBoost algorithm was selected based on performance metrics, with Shapley Additive exPlanations (SHAP) values calculated to determine feature importance. Furthermore, a multivariable binomial logistic regression model was performed to validate machine learning findings. Results: Among 720 aneurysms from 36 hospitals, 84% showed improvement in occlusion at follow up. Both machine learning and multivariable logistic regression identified aneurysm height as the most consistent correlate of nonimprovement (odds ratio (OR) 0.90 per mm, p = 0.022). In the CatBoost model, the highest-ranking features by SHAP included aneurysm height, patient age, treatment acuity, ACom location, WEB-SLS device, bifurcation anatomy, aneurysm multiplicity, baseline modified Rankin Scale, access route, and partial thrombosis. Conclusions: Machine-learning and regression analyses identified consistent predictors of occlusion improvement after WEB treatment, with aneurysm height most strongly linked to nonimprovement. These insights may guide patient selection and follow up. Findings require cautious interpretation and external validation in larger cohorts.

Background/Objectives: Anterior cervical discectomy and fusion (ACDF) is a common procedure for treating cervical spondylotic myelopathy. Limited research exists on the predictors of subsidence following ACDF. Subsidence can compromise surgical outcomes, alter alignment, and predispose patients to further complications, making it essential to prevent and understand it. This study aims to identify key risk factors for clinically significant subsidence and evaluate its impact on cervical alignment parameters in a large, diverse patient population. Methods: We conducted a retrospective review of patients who underwent ACDF between 2013 and 2022 at a single institution. Subsidence was calculated as the mean change in anterior and posterior disc height, with clinically significant subsidence being defined as three millimeters or more. Univariate analysis was followed by regression modeling to identify subsidence predictors and analyze patterns. Subgroup analyses stratified patients by implant type, number of levels fused, and cage material. Results: A total of 96 patients with 141 levels of ACDF met the inclusion criteria. Patients with significant subsidence were younger on average (52.44 vs. 55.94 years; p = 0.074). Those with less postoperative lordosis were more likely to experience significant subsidence (79.5% vs. 90.2%; p = 0.088). Patients with significant subsidence were more likely to have standalone implants (38.5% vs. 16.7%; p < 0.01), taller cages (6.62 mm vs. 6.18 mm; p < 0.05), and greater loss of segmental lordosis (7.33 degrees vs. 3.31 degrees; p < 0.01). Multivariate analysis confirmed that standalone implants were a significant independent predictor of subsidence (OR 2.679; p < 0.05), and greater subsidence was positively associated with loss of segmental lordosis (OR 1.089; p < 0.01). Subgroup analysis revealed that multi-level procedures had a higher incidence of subsidence (35.7% vs. 28.1%; p = 0.156), and PEEK cages demonstrated similar subsidence rates compared to titanium constructs (28.1% vs. 29.4%; p = 0.897). Conclusions: Standalone implants are the strongest independent predictor of significant subsidence, and those that experience subsidence also show greater loss of segmental lordosis, although not overall lordosis. These findings have implications for surgical planning, particularly in patients with borderline bone quality or requiring multi-level fusions. The results support the use of plated constructs in high-risk patients and emphasize the importance of individualized surgical planning based on patient-specific factors. Further research is needed to explore these findings and determine how they can be applied to improve ACDF outcomes.