Neurosurgery
-
Blood in the fourth ventricle is associated with poor outcomes in patients with aneurysmal subarachnoid hemorrhage (aSAH). We investigated (1) the prognostic significance of the amount of blood in the fourth ventricle and (2) the influence of active blood clearance and delayed cerebral ischemia prevention (ABCD). ⋯ Ballooning fourth ventricular hemorrhage (grade 4 FVH) is a powerful predictor of poor outcomes after aSAH. With the introduction of ABCD, the prognosis of these patients improved considerably and 25% reached functional independence 6 months after aSAH.
-
Dual-energy X-ray absorptiometry (DXA) T-scores have been shown to predict fragility fractures in population-based studies. Recently, a novel MRI-based vertebral bone quality (VBQ) score has been proposed, showing better predictability for fragility fractures compared with DXA T-scores. The aim of this study was to explore the correlation between VBQ scores and DXA T-scores and to determine the impact of VBQ scores on the risk of subsequent fragility fractures after cement augmentation for osteoporotic vertebral compression fracture (OVCF). ⋯ In patients who received cement augmentation for OVCF, the VBQ score is significantly correlated with the DXA T-score and may be a more reliable predictor of subsequent fragility fractures.
-
The assessment of ventricle size is crucial in diagnosing hydrocephalus and in detecting shunt malfunctions. Current methods primarily involve 2-dimensional measurements or ratios. We evaluated the accuracy of volumetric analysis and radiomics in diagnosing hydrocephalus and shunt malfunction. ⋯ Automated ventricle segmentation using convolutional neural networks combined with radiomics analysis can be used with age and sex to assist in the diagnosis of hydrocephalus and shunt malfunctions when combined with a reference normative data set. It offers a time-efficient alternative to manual segmentation, reduces interobserver variability, and holds promise in improving patient outcomes by facilitating early and accurate diagnosis of hydrocephalus/shunt malfunction.
-
Acute hypertension can occur in 90% of postcraniotomy patients for tumor resection, and 60% to 90% of patients require treatment with antihypertensive agents. Postoperative intracranial hemorrhage is a major driver of morbidity and mortality after craniotomy for tumor resection, and perioperative hypertension is believed to be a risk factor. Many neurosurgeons impose postoperative blood pressure (BP) goals to mitigate this risk, but there is little evidence to guide the selection of a specific target BP, leading to a wide variation in patient care. In this article, we have conducted a national survey to report the current practices regarding postoperative BP management. ⋯ Most of the academic neurosurgical programs use a postoperative SBP goal after craniotomy for tumor resection. Programs are evenly divided between goals of SBP <140 mm Hg and SBP <160 mm Hg. The variability among programs indicates clinical equipoise between these 2 approaches in the context of a future clinical trial.
-
Recent advancements in neuroimaging and machine learning have significantly improved our ability to diagnose and categorize isocitrate dehydrogenase (IDH)-wildtype glioblastoma, a disease characterized by notable tumoral heterogeneity, which is crucial for effective treatment. Neuroimaging techniques, such as diffusion tensor imaging and magnetic resonance radiomics, provide noninvasive insights into tumor infiltration patterns and metabolic profiles, aiding in accurate diagnosis and prognostication. Machine learning algorithms further enhance glioblastoma characterization by identifying distinct imaging patterns and features, facilitating precise diagnoses and treatment planning. ⋯ Future directions should focus on refining machine learning models, integrating emerging imaging techniques, and elucidating the complex interplay between imaging features and underlying molecular processes. This review highlights the pivotal role of neuroimaging and machine learning in glioblastoma research, offering invaluable noninvasive tools for diagnosis, prognosis prediction, and treatment planning, ultimately improving patient outcomes. These advances in the field promise to usher in a new era in the understanding and classification of IDH-wildtype glioblastoma.