Neuroimaging plays an ever evolving role in the diagnosis, treatment planning, and post-
therapy assessment of brain tumors. This review provides an overview of current magnetic …

Radiomics describes a broad set of computational methods that extract quantitative features
from radiographic images. The resulting features can be used to inform imaging diagnosis …

Preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, brain tumors
with dismal outcomes due to their infiltrative properties, still rely on conventional structural …

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

Background. Distinction between tumor and treatment related changes is crucial for clinical
management of patients with high-grade gliomas. Our purpose was to evaluate whether …

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) …

The Response Assessment in Neuro-Oncology criteria were developed as an objective tool
for radiologic assessment of treatment response in high-grade gliomas. Imaging plays a …

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

Gliomas possess complex and heterogeneous vasculatures with abnormal hemodynamics.
Despite considerable advances in diagnostic and therapeutic techniques for improving …

Pseudoprogression may present as transient new or increasing enhancing lesions that
mimic recurrent tumors in treated glioblastoma. The purpose of this study was to examine …