BACKGROUND AND PURPOSE: Patient survival in high-grade glioma remains poor,
despite the recent developments in cancer treatment. As new chemo-, targeted molecular …

Traditional radiomics models mainly rely on explicitly-designed handcrafted features from
medical images. This paper aimed to investigate if deep features extracted via transfer …

Background and purpose Recent studies have highlighted the importance of isocitrate
dehydrogenase (IDH) mutational status in stratifying biologically distinct subgroups of …

Simple Summary Radiomics and radiogenomics offer new insight into high-grade glioma
biology, as well as into glioma behavior in response to standard therapies. In this article, we …

Prediction of survival time from brain tumor magnetic resonance images (MRI) is not
commonly performed and would ordinarily be a time consuming process. However, current …

Introduction Being the most common primary brain tumor, glioblastoma presents as an
extremely challenging malignancy to treat with dismal outcomes despite treatment. Varying …

Objective The aim of this study was to develop a radiomics signature for prediction of
progression-free survival (PFS) in lower-grade gliomas and to investigate the genetic …

Radiographic assessment with magnetic resonance imaging (MRI) is widely used to
characterize gliomas, which represent 80% of all primary malignant brain tumors …

Background Although surgical pathology or biopsy are considered the gold standard for
glioma grading, these procedures have limitations. This study set out to evaluate and …

High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative
prognosis for this cohort can lead to better treatment planning. Conventional survival …