AI reads brain scans to predict tumor survival before surgery

NCT ID NCT05864976

Recruiting now Knowledge-focused Sponsor: Washington University School of Medicine Source: ClinicalTrials.gov ↗

First seen Jun 30, 2026 · Last updated Jul 01, 2026 · Updated 1 time

Summary

This study explores whether a computer algorithm can analyze resting-state MRI scans taken before surgery to predict how long a person with glioblastoma multiforme (a type of brain cancer) might survive. The goal is to see if the algorithm can accurately classify patients as short-term or long-term survivors, which could help guide treatment decisions. The study involves 100 adults with suspected glioblastoma who are scheduled for surgery and a pre-operative MRI.

What this could mean

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

Active substance: Support Vector Machine (machine learning algorithm)
What this could lead to: If successful, this approach could help surgeons better plan brain tumor surgeries by identifying which patients may need more aggressive treatment.
What could go wrong: This is an early-stage study with only 100 participants, and the algorithm's predictions may not be accurate enough to change clinical practice.

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Conditions

The condition(s) this trial relates to.

glioblastoma glioma susceptibility 1

As listed by the trial registrant

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

GLIOBLASTOMA MULTIFORME

Contacts and locations

Locations

Washington University School of Medicine
RECRUITING

St Louis, Missouri, 63110, United States

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