The objective of the present study was to quantitatively analyze the permeability of tumor entity and peritumor edema in glioma grading, using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). In the present retrospective study, 80 patients underwent T1-weighted DCE-MRI examination at 3.0 T and the pathological results (including astrocytoma and oligodendroglioma) were obtained be...

Integrin αvβ3 is overexpressed in both neovasculature and glioma cells. We aimed to evaluate (68)gallium-BNOTA-PRGD2 ((68)Ga-PRGD2) as a new reagent for noninvasive integrin αvβ3 imaging in glioma patients. With informed consent, 12 patients with suspicious brain glioma, as diagnosed by enhanced magnetic resonance imaging (MRI) scanning, were enrolled to undergo (68)Ga-PRGD2 PET/CT and (18)F-FD...

BACKGROUND Susceptibility weighted imaging (SWI) is a velocity compensated, high-resolution three-dimensional (3D) spoiled gradient-echo sequence that uses magnitude and filtered-phase data. SWI seems to be a valuable tool for non-invasive evaluation of central nervous system gliomas. Relative cerebral blood volume (rCBV) ratio is one of the best noninvasive methods for glioma grading. Degree o...

BACKGROUND AND PURPOSE Vascular proliferation is a major criterion for grading gliomas on the basis of histology. Relative cerebral blood volume can provide pathophysiologic information about glioma grading. Vessel size imaging, in some animals, can be used to estimate the microvascular caliber of a glioma, but its clinical use remains unclear. Herein, we aimed to compare the predictive power o...

An interesting approach has been proposed to differentiate malignant glioneuronal tumors (MGNTs) as a subclass of the WHO grade III and IV malignant gliomas. MGNT histologically resemble any WHO grade III or IV glioma but have a different biological behavior, presenting a survival twice longer as WHO glioblastomas and a lower occurrence of metastases. However, neurofilament protein immunostaini...

Background: Artificial intelligence (AI) models provide advanced applications to many scientific areas, including the prediction of pathologic grade tumors, utilizing radiology techniques. Gliomas are among malignant brain tumors in human adults, and their efficient diagnosis is high clinical significance. Objectives: Given contribution AI medical diagnoses, we investigated role deep learning d...

background diffusion-weighted imaging (dwi) is a form of magnetic resonance imaging (mri) based on measuring the random brownian motion of water molecules within the biological tissues and is particularly useful in tumor characterization. objectives the purpose of this study was to evaluate the diagnostic value of dw mri and the apparent diffusion coefficient (adc) for preoperative grading of a...

Abstract Glioma is the most common primary intraparenchymal tumor of brain and 5-year survival rate high-grade glioma poor. Magnetic resonance imaging (MRI) essential for detecting, characterizing monitoring tumors but definitive diagnosis still relies on surgical pathology. Machine learning has been applied to analysis MRI data in research potential change clinical practice improve patient out...