Abstract Neuroimaging using the 7-Tesla (7T) human magnetic resonance (MR) system is
rapidly gaining popularity after being approved for clinical use in the European Union and …

This article reviews the existing approaches to determining the TERT promoter mutational
status in patients with various tumoral diseases of the central nervous system. The …

Despite the emergence of cutting-edge therapeutic strategies and tremendous progress in
research, a complete cure of glioma remains elusive. The heterogenous nature of tumor …

Importance: Gliomas, tumors of the central nervous system, are classically diagnosed
through invasive surgical biopsy and subsequent histopathological study. Innovations in …

Simple Summary Gliomas can be difficult to discern clinically and radiologically from other
brain lesions (either neoplastic or non-neoplastic) since their clinical manifestations as well …

MRS, including single-voxel spectroscopy and MR spectroscopic imaging, captures
metabolites in high-grade gliomas. Emerging evidence indicates that 7T MRS may be more …

Purpose The study aimed to using multiparametric MRI radiomics to predict glioma tumor
residuals (TRFET over MR) derived from incongruent [18F] fluoroethyl-L-tyrosine ([18F] FET) …

Purpose. To determine glioma grading by applying radiomic analysis or deep convolutional
neural networks (DCNN) and to benchmark both approaches on broader validation sets …

Simple Summary Gliomas are common primary brain tumors that account for a high number
of cancer-related deaths worldwide. Patients with aggressive gliomas have poor prognoses …

Accurate brain tumor classification is crucial for enhancing the diagnosis, prognosis, and
treatment of glioblastoma patients. We employed the ResNet101 deep learning method with …