A clinicoradiomic model can identify approximately 90% of brain invasion cases in patients with meningiomas.
Why this matters
The application of radiomics on magnetic resonance imaging (MRI) scans can provide a more stable, non-invasive and objective analysis that quantifiably identifies tumor features invisible to the naked eye, such as shape features, texture and intensity.
This technique has already demonstrated its value in predicting recurrence-free survival rate, grade, and the histological subtype of meningiomas.
By employing radiomics analysis to accurately predict brain invasion, this technique could improve clinical and surgical management by predicting meningioma grading and prognosis.