Background: Sex plays an important role in the incidence, prognosis, and mortality of
cancers, but often is not considered in disease treatment. Methods: We quantified sex …

Glioblastoma multiforme (GBM) is the most common and aggressive form of brain cancer.
Prognosis evaluation is of great significance in guiding individualized treatment and …

Background Machine learning (ML) algorithms are increasingly explored in glioma
prognostication. Random survival forest (RSF) is a common ML approach in analyzing time …

Objectives To develop and validate a deep learning model for predicting overall survival
from whole-brain MRI without tumor segmentation in patients with diffuse gliomas. Methods …

OBJECTIVE Prognostication of glioblastoma survival has become more refined due to the
molecular reclassification of these tumors into isocitrate dehydrogenase (IDH) wild-type and …

As many countries face an ageing population, the number of older patients with
glioblastoma (GB) is increasing. Thus, there is an urgent need for prognostic models to aid …

Background/purpose Glioblastoma (GBM) is the most common primary malignant brain
tumor. Sex has been shown to be an important prognostic factor for GBM. The purpose of …

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

Purpose To investigate the prognostic factors of survival and develop a predictive
nomogram model for elderly GBM patients. Methods Elderly patients (>= 65 years) with …

Background This study aimed to identify the most valuable predictors of prognosis in
glioblastoma (GBM) patients and develop and validate a nomogram to estimate …