The genes encoding IDH1/2 and BRAF are frequently altered in low-grade glioma; the presence or absence of these alterations should be determined in all patients. Maximal safe tumor resection remains ...

An AI tool using temporal learning significantly outperforms traditional methods in predicting pediatric glioma recurrence, achieving 75% to 89% accuracy. The AI model analyzes multiple brain scans ...

A. Representative images of 11 C-acetate PET, and MRI in patients with glioblastoma and IDH1-mt astrocytoma. B. SUVR of 11 C-acetate uptake correlated with the WHO 2021 classification. C. The median ...

Vorasidenib reduced the risk of disease progression or death for certain patients with low-grade brain cancer, recent study results showed. Patients with grade 2 IDH-mutant glioma (a type of brain ...

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers. AI-assisted interpretation of brain ...

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