Intracranial Arachnoid Cysts in Adulthood: A Retrospective, Multicenter Magnetic Resonance Imaging-Based Study.

Aim: To retrospectively evaluate the cranial magnetic resonance imaging (MRI) features and determine the incidence of intracranial arachnoid cysts (ACs) based on sex, age, location, size, affected side, Galassi type, and their association with hydrocephalus, mega cisterna magna (MCM), bone erosion, and midline brain shift in 15,108 patients during outpatient headache evaluations.

Material And Methods: Between 2012 and 2022, cranial MRI scans of 15,108 adult patients aged 20-70 years undergoing outpatient evaluations for headaches were retrospectively reviewed to analyze the features of ACs detected incidentally. Patients who had previously undergone a craniotomy or craniectomy were excluded from the study.

Prediction of Meningioma Grade Using Hematological Parameters.

Objective: Predicting the aggressiveness of meningiomas may influence the surgical strategy timing. Because of the paucity of robust markers, the systemic immune-inflammation (SII) index is a novel biomarker to be an independent predictor of poor prognosis in various cancers including gliomas. We aimed to investigate the value of SII as well as neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) indices in predicting prognosis.

Interthalamic Adhesion: Can it be used to Diagnose Idiopathic Intracranial Hypertension?

Objective: This retrospective study aimed at determining the dimension of the interthalamic adhesion (ITA) in patients with the idiopathic intracranial hypertension (IIH) for assisting in preoperative radiologic diagnosis.

Methods: The study universe consisted of magnetic resonance images of 20 patients with IIH (age: 22.70 ± 4.

Posterior fossa epidermoid tumors: a single-center study and proposed classification system.

Background: Epidermoid tumors of the cerebellopontine angle and posterior fossa account for approximately 1% of all intracranial tumors. Classifications that may guide surgical planning in the current neurosurgical practice are lacking. This study aimed to focus on the surgical outcome and suggest a classification system that may aid neurosurgeons in determining the goal of resection to minimize morbidity and mortality rates.