The natural history and treatment landscape of primary brain tumours are complicated by the
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …

With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …

Sampling restrictions have hindered the comprehensive study of invasive non-enhancing
(NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present …

The current era of advanced computing has allowed for the development and
implementation of the field of radiomics. In pediatric neuro-oncology, radiomics has been …

Over the past decade, machine learning (ML) and artificial intelligence (AI) have become
increasingly prevalent in the medical field. In the United States, the Food and Drug …

Background and objective Glioblastoma (GBM) is one of the most aggressive and lethal
human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for …

Theranostics refers to the combination of diagnostic biomarkers with therapeutic agents that
share a specific target expressed by diseased cells and tissues. Nuclear medicine is an …

An improved understanding of the cellular and molecular biologic processes responsible for
brain tumor development, growth, and resistance to therapy is fundamental to improving …

Glioblastoma multiforme (GBM) is one of the most deadly forms of cancer. Methods of
characterizing these tumours are valuable for improving predictions of their progression and …

Purpose To develop and validate a dynamic contrast-enhanced (DCE) MRI-based radiomics
model to predict epidermal growth factor receptor (EGFR) amplification in patients with …