Purpose Despite the intra-and intertumoral heterogeneity seen in glioblastoma multiforme
(GBM), there is little definitive data on the underlying cause of the differences in patient …

Glioblastomas are the most aggressive primary brain tumors, characterized by their rapid
proliferation and diffuse infiltration of the brain tissue. Survival patterns in patients with …

Background For Glioblastoma (GBM), various prognostic nomograms have been proposed.
This study aims to evaluate machine learning models to predict patients' overall survival …

BACKGROUND Ability to thrive and time-to-recurrence following treatment are important
parameters to assess in patients with glioblastoma multiforme (GBM), given its dismal …

Background Glioblastoma (GBM) is the most common primary malignant brain tumor in
adulthood. Despite multimodality treatments, including maximal safe resection followed by …

Glioblastoma multiforme is the most aggressive type of primary brain tumor. Glioblastoma
growth dynamics vary widely across patients, making it difficult to accurately gauge their …

Over the past decade, deep molecular analysis has revealed that many cancers, including
glioblastomas (GBMs), can be subdivided in several subtypes according to genetic and/or …

Background Glioblastoma multiforme (GBM) is a fatal disease without effective therapy.
Identification of new biomarkers for prognosis would enable more rational selections of …

Purpose Glioblastoma (GBM) is the most frequent glioma in adults with a high treatment
resistance resulting into limited survival. The individual prognosis varies depending on …

Background While the association between diffusion and perfusion magnetic resonance
imaging (MRI) and survival in glioblastoma is established, prognostic models for patients are …