Glioblastoma Multiforme (GBM), classified as a grade IV glioma by the World Health
Organization (WHO), is a prevalent and notably aggressive form of brain tumor derived from …

With the increasing use of immune checkpoint inhibitors (ICIs), there is an urgent need to
identify biomarkers to stratify responders and non-responders using programmed death …

Survival prediction of patients affected by brain tumors provides essential information to
guide surgical planning, adjuvant treatment selection, and patient counseling. Current …

Abstract Purpose Glioblastoma Multiforme (GBM) represents the predominant aggressive
primary tumor of the brain with short overall survival (OS) time. We aim to assess the …

Simple Summary This study aimed to develop and validate a radiomic model for predicting
overall survival (OS) in glioblastoma multiforme (GBM) patients using pre-treatment MRI …

The purpose of the article is to provide a practical guide for manual and semi-automated
image segmentation of common neurosurgical cranial lesions, namely meningioma …

Objectives Existing brain extraction models should be further optimized to provide more
information for oncological analysis. We aimed to develop an nnU-Net–based deep learning …

Simple Summary Rapid early progression (REP) has been defined as increased nodular
enhancement at the border of the resection cavity, the appearance of new lesions outside …

Simple Summary The prognostic expectancies of patients affected by glioblastoma have
remained almost unchanged during the last thirty years. Along with specific oncological …

Background and Objectives: Survival estimation for patients diagnosed with Glioblastoma
(GBM) is an important information to consider in patient management and communication …