AI and big data join the fight against childhood brain cancer relapse

NCT ID NCT05151718

Recruiting now Knowledge-focused Sponsor: Institut Claudius Regaud Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks back at data from 370 children treated for ependymoma, a common brain tumor in kids. Even after surgery and radiation, about half of these tumors return. Researchers are using artificial intelligence to analyze medical images, genetics, and treatment records to find clues that predict relapse. The goal is to design smarter radiation plans that target the tumor more precisely and prevent it from coming back.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to more precise radiation therapy for children with ependymoma, potentially reducing relapse rates.
What could go wrong: This is an observational study analyzing existing data, not testing a new treatment. The findings may not translate into immediate clinical changes.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for EPENDYMOMA OF BRAIN are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

childhood ependymoma childhood neoplasm ependymal tumor of brain

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

EPENDYMOMA OF BRAIN PEDIATRIC SOLID TUMOR

Contacts and locations

Locations

Institut Claudius Regaud
RECRUITING

Toulouse, 31059, France

More trials for these conditions

Other studies related to the condition(s) this trial covers.