AI Tool May Help Treat Deadly Brain Tumor Before Recurrence
Researchers have developed an AI model capable of predicting the recurrence sites of glioblastoma, the most lethal form of adult brain cancer. This tool could allow neurosurgeons to perform more targeted treatments before tumors become visible on standard MRIs.
Why it matters
Improving the precision of cancer treatment could significantly extend survival rates for patients with aggressive brain tumors.
A new AI-based model can predict where glioblastoma is most likely to return after initial surgery, potentially giving doctors a chance to treat it before it becomes visible on MRI.
Glioblastoma is the most common malignant brain tumor in adults and the most lethal, with a median survival of about 17 months after diagnosis. Even after surgeons remove all visible tumor and patients receive follow-up treatment, the cancer almost always returns.
Now, researchers led by UC San Francisco and University of Michigan have developed an AI approach that can predict, with a high degree of accuracy, where first recurrence is likely to appear. In glioblastoma, most patients experience recurrence at or close to the tumor cavity.
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