The central role of MRI in neuro-oncology is undisputed. The technique is used, both in
clinical practice and in clinical trials, to diagnose and monitor disease activity, support …

Neuro-oncology largely consists of malignancies of the brain and central nervous system
including both primary as well as metastatic tumors. Currently, a significant clinical …

Remarkable progress in neuro-oncology due to increased utilization of advanced imaging in
clinical practice continues to accelerate in recent years. Refinements in magnetic resonance …

MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …

Biomarker discovery and development are popular for detecting the subtle diseases.
However, biomarkers are needed to be validated and approved, and even fewer are ever …

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

Brain tumor is the growth of abnormal cells in the brain and ranges from noncancerous
(benign) to malignant. Glioblastoma (GBM) is the most aggressive type of brain tumor, rising …

Over the last years, the amount, variety, and complexity of neuroimaging data acquired in
patients with brain tumors for routine clinical purposes and the resulting number of imaging …

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 …

Radiomics utilizes high-dimensional imaging data to discover the association with
diagnostic, prognostic, predictive endpoint or radiogenomics. It is an emerging field of study …