Back to all news
AI Model Improves Differentiation of Brain Tumor Progression from Radiation Necrosis on MRI
A York University-led study shows a novel AI using advanced MRI can distinguish between progressive brain tumors and radiation necrosis more accurately than human assessment.
Key Details
- 1AI model uses attention-guided deep learning with chemical exchange saturation transfer (CEST) MRI.
- 2Study included over 90 patients with brain metastases treated by stereotactic radiosurgery (SRS).
- 3AI achieved over 85% accuracy in distinguishing tumor progression from necrosis, compared to ~60% for standard MRI and ~70% for advanced MRI alone.
- 4Published December 2025 in International Journal of Radiation Oncology, Biology, Physics.
- 5A crucial clinical challenge as treatment decisions for tumor progression vs necrosis are substantially different.
Why It Matters
Differentiating tumor progression from radiation necrosis on MRI post-therapy is a major clinical challenge, as each requires different treatments. AI that improves diagnosis accuracy could substantially impact patient management and outcomes in neuro-oncology.
Source
EurekAlert
Related News
•EurekAlert
MSKAI Unveils AI Tool for Embryo Cell Analysis and Imaging-Driven Cancer Insights
MSK researchers employ AI and advanced imaging to reveal cancer mechanisms and track embryonic development at the single-cell level.
•EurekAlert
AI-Driven Home Sensors Enable Privacy-Preserving Health Emergency Detection
Researchers have developed an AI-powered home monitoring system using radar and thermal sensors to detect health emergencies and support elderly independent living.
•EurekAlert
New Study Urges 'Green AI' Practices in Medical Imaging and Healthcare
A new review highlights the urgent need for sustainable AI practices in healthcare, with emphasis on environmental impacts from applications like medical imaging.