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AI reads brain scans to predict tumor survival before surgery

NCT ID NCT05864976

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

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

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

Study facts

What this study's own registry entry says, in plain language.

Participants

About 100 people

The number the study aims to enrol. It can still change while the study runs.

Started

Dec 2023

Expected to finish

Jan 2030

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Participants being seen at Washington University School of Medicine.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Must have a radiological diagnosis of a lesion in the brain with characteristics consistent with glioblastoma multiforme. * Must be planning to undergo a pre-operative MRI. * Must be at least 18 years old. * Must be able to understand and willing to sign an IRB approved written informed consent document. Exclusion Criteria: * Contraindication to MRI. * Inability to have clinical follow-up (e.g., patient is out of town and will do follow-up elsewhere).

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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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Washington University School of Medicine

    RECRUITING

    St Louis, Missouri, 63110, United States

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