Abstract High-grade glioma (HGG), and particularly Glioblastoma (GBM), can exhibit
pronounced intratumoral heterogeneity that confounds clinical diagnosis and management …

Glioblastoma is a high-grade aggressive neoplasm characterised by significant intra-tumoral
spatial heterogeneity. Personalising therapy for this tumour requires non-invasive tools to …

Global agreement in central nervous system (CNS) tumor classification is essential for
predicting patient prognosis and determining the correct course of treatment, as well as for …

Objectives To investigate if spatial recurrence pattern is associated with patient prognosis,
and whether MRI vascular habitats can predict spatial pattern. Methods In this retrospective …

ABSTRACT BACKGROUND AND PURPOSE This study aims to investigate whether
radiomic quantitative image features (IFs) from perfusion dynamic susceptibility contrast …

Background Tumor heterogeneity poses major clinical challenges in high-grade gliomas
(HGGs). Quantitative radiomic analysis with spatial tumor habitat clustering represents an …

Objectives To assess the combined role of tumor vascularity, estimated from perfusion MRI,
and MGMT methylation status on overall survival (OS) in patients with glioblastoma …

Simple Summary Cerebral diffuse gliomas present peculiar molecular features tightly linked
to phenotypic characteristics that are not readily appreciated by means of standard …

AIM To determine whether tumour vascular and cellular heterogeneity of high-grade glioma
(HGG) is predictive of isocitrate dehydrogenase (IDH) mutation status and overall survival …

Background The microvessels area (MVA), derived from microvascular proliferation, is a
biomarker useful for high-grade glioma classification. Nevertheless, its measurement is …