Glioma represents a dominant primary intracranial malignancy in the central nervous
system. Artificial intelligence that mainly includes machine learning, and deep learning …

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

This study aimed to investigate the feasibility of predicting oxygen 6-methylguanine-DNA
methyltransferase (MGMT) promoter methylation in diffuse gliomas by developing a deep …

Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and
has been applied to various fields of medicine. Advances in computer science, medical …

Circular RNAs (circRNAs) are a special class of non-coding RNAs with the ring structure.
They are stable, abundant and conservative across mammals. The biogenesis and …

Background Cyclin‐dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion has
been verified as an independent and critical biomarker of negative prognosis and short …

Objectives In adult diffuse glioma, preoperative detection of isocitrate dehydrogenase (IDH)
status helps clinicians develop surgical strategies and evaluate patient prognosis. Here, we …

Purpose Differentiating benign from malignant vertebral compression fractures (VCFs) is a
diagnostic dilemma in clinical practice. To improve the accuracy and efficiency of diagnosis …

Purpose To establish and validate a radiomics nomogram for preoperative prediction of
isocitrate dehydrogenase (IDH) mutation status of gliomas in a multicenter setting. Methods …