Radiogenomics, focusing on the relationship between genomics and imaging phenotypes,
has been widely applied to address tumour heterogeneity and predict immune …

Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumours of the
head and neck, and improving the efficiency of its diagnosis and treatment strategies is an …

Imaging diagnosis is crucial for early detection and monitoring of brain tumors. Radiomics
enable the extraction of a large mass of quantitative features from complex clinical imaging …

The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and
spurred further research into tumor biology. Yet, cancer patients respond variably to …

Objectives To evaluate the methodological quality and diagnostic accuracy of MRI-based
radiomic studies predicting O6-methylguanine-DNA methyltransferase (MGMT) promoter …

BACKGROUND: Visually Accessible Rembrandt (Repository for Molecular Brain Neoplasia
Data) Images (VASARI) features, a vocabulary to establish reproducible terminology for …

Recent developments in research on artificial intelligence (AI) in medicine deal with the
analysis of image data such as Magnetic Resonance Imaging (MRI) scans to support the of …

Purpose To perform a systematic review and meta-analysis assessing the predictive
accuracy of radiomics in the noninvasive determination of isocitrate dehydrogenase (IDH) …

Background and Purpose Radiomics features and The Visually AcceSAble Rembrandt
Images (VASARI) standard appear to be quantitative and qualitative evaluations utilized to …

Purpose Recent studies have shown promise of MR-based radiomics in predicting the
survival of patients with untreated glioblastoma. This study aimed to comprehensively collate …