This review describes the definition, incidence, clinical implications, and magnetic
resonance imaging (MRI) findings of pseudoprogression of brain tumors, in particular, but …

Despite the fact that MRI has evolved to become the standard method for diagnosis and
monitoring of patients with brain tumours, conventional MRI sequences have two key …

Due to the exponential growth of computational algorithms, artificial intelligence (AI)
methods are poised to improve the precision of diagnostic and therapeutic methods in …

Radiomics analysis has had remarkable progress along with advances in medical imaging,
most notability in central nervous system malignancies. Radiomics refers to the extraction of …

Eighty percent of all malignant primary brain tumors diagnosed in the United States are
gliomas. 1 The current treatment paradigm for high-grade gliomas (grades III and IV) …

Purpose: To quantify the accuracy of amide proton transfer-weighted (APTw) MRI for
identifying active glioma after treatment via radiographically guided stereotactic tissue …

Objective Summarize evidence for use of advanced MRI techniques as monitoring
biomarkers in the clinic, and highlight the latest bench-to-bedside developments. Methods …

Simple Summary Radiomics and radiogenomics offer new insight into high-grade glioma
biology, as well as into glioma behavior in response to standard therapies. In this article, we …

We aimed to investigate the feasibility of machine learning (ML) algorithm to distinguish
pseudoprogression (PsPD) from progression (PD) in patients with glioblastoma (GBM). We …

AIM To review how machine learning (ML) is applied to imaging biomarkers in neuro-
oncology, in particular for diagnosis, prognosis, and treatment response monitoring …