background the anti-inflammatory properties of magnesium sulfate have never been discussed in brain tumor surgeries. objectives this study is aimed to find anti-inflammatory aspects of high dose magnesium sulfate infusion during perioperative period of neurosurgical patients through checking the serial c-reactive protein (crp) blood levels as a biomarker of inflammation. patients and methods si...

acoustic neuromas (an) are schwann cell-derived tumors that commonly arise from the vestibular portion of the eighth cranial nerve also known as vestibular schwannoma(vs) causes unilateral hearing loss, tinnitus, vertigo and unsteadiness. in many cases, the tumor size may remain unchanged for many years following diagnosis, which is typically made by mri. in the majority of cases the tumor is s...

introduction: gamma knife is an instrument specially designed for treating brain disorders. in gamma knife, there are 201 narrow beams of cobalt-60 sources that intersect at an isocenter point to treat brain tumors. the tumor is placed at the isocenter and is treated by the emitted gamma rays. therefore, there is a high dose at this point and a low dose is delivered to the normal tissue surroun...

BACKGROUND: The main reason for the development and implementation of artificial intelligence (AI) technologies in neuro-oncology is high prevalence brain tumors reaching up to 200 cases per 100,000 population. incidence a primary focus 5%10%; however, 60%70% those who die from malignant neoplasms have metastases brain. Magnetic resonance imaging (MRI) most common method non-invasive diagnosis ...

In the last few years, a very huge development has occurred in medical techniques using artificial intelligence tools, especially diagnosis field. One of essential things is brain tumor (BT) detection and diagnosis. This kind disease needs an expert physician to decide on treatment or surgical operation based magnetic resonance imaging (MRI) images; therefore, researchers focus such images anal...

Brain tumors are deadly but become deadliest because of delayed and inefficient diagnosis process. Large variations in tumor types also instigate additional complexity. Machine vision brain addresses the problem. This research’s objective was to develop a classification model based on machine techniques using Magnetic Resonance Imaging (MRI). For this purpose, novel hybrid-brain-tumor-classific...