Magnetic resonance imaging (MRI) is the cornerstone for evaluating patients with brain
masses such as primary and metastatic tumors. Important challenges in effectively detecting …

The application of artificial intelligence (AI) is accelerating the paradigm shift towards patient-
tailored brain tumor management, achieving optimal onco-functional balance for each …

This review delves into the most recent advancements in applying artificial intelligence (AI)
within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors …

Optimal treatment of brain metastases is often hindered by limitations in diagnostic
capabilities. To meet this challenge, here we profile DNA methylomes of the three most …

In the treatment of brain tumors, surgical intervention remains a common and effective
therapeutic option. Recent advances in neuroimaging have provided neurosurgeons with …

Few studies have addressed radiomics based differentiation of Glioblastoma (GBM) and
intracranial metastatic disease (IMD). However, the effect of different tumor masks …

Background Texture analysis has been done on several radiological modalities to stage,
differentiate, and predict prognosis in many oncologic tumors. Purpose To determine the …

Purpose To evaluate the diagnostic performance of cerebral blood flow (CBF) by using
arterial spin labeling (ASL) perfusion magnetic resonance (MR) imaging to differentiate …

Objective We sought to differentiate glioblastomas from solitary brain metastasis using
arterial spin labeling perfusion (ASL)-and diffusion tensor imaging (DTI)-derived metrics …

Lesions of the central nervous system (CNS) can present with numerous and overlapping
radiographical and clinical features that make diagnosis difficult based exclusively on …