Predicting brain invasion risk in patients with meningiomas using novel a clinicoradiomic model

Takeaway

  • 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.