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AI reads brain tumor slides to predict genetic secrets

NCT ID NCT07263711

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether an artificial intelligence (AI) model can accurately predict genetic changes in gliomas, a type of brain tumor, using digital images of tissue samples. Researchers will collect pathology images and molecular test results from 2,000 adults with suspected glioma across multiple hospitals. The AI's predictions will be compared to standard lab tests to see if it can provide faster, cheaper diagnosis without extra procedures for participants.

What this could mean

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

Active substance
artificial intelligence (AI) model
What this could lead to
If successful, this could lead to faster and cheaper genetic testing for brain tumors, improving access to precision medicine.
What could go wrong
This is an observational study, not a treatment trial. The AI may not be accurate enough to replace standard tests, and results may vary across hospitals.

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 2,000 people

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

Started

Sep 2025

Expected to finish

Sep 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

This study will include adult participants (aged 18 years or older) who have been diagnosed with or are suspected to have diffuse glioma based on biopsy or surgical resection. Participants must have available hematoxylin and eosin (H\&E)-stained digital pathology slides and complete clinical and molecular testing data. All participants will be patients who have received standard medical care for glioma. No additional treatments or interventions will be performed as part of this study. Pathology images and molecular testing results will be collected prospectively from multiple clinical centers to evaluate the diagnostic performance of the AI-based pathology model.

Ages

18 to 100 years

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: * Participant (or legally authorized representative) has voluntarily signed the informed consent form. * Age ≥ 18 years at the time of enrollment. * Histologically suspected diffuse glioma based on biopsy or surgical resection. * Availability of complete clinical information and usable digital pathology slides with hematoxylin and eosin (H\&E) staining. * Postoperative molecular pathology results available for comparison. Exclusion Criteria: * Poor-quality pathology samples (e.g., insufficient tissue, large folding or contamination of slides, or substandard digital scanning quality). * Determined by the investigator to be unsuitable for participation in the study for any reason.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

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

  • Nanfang Hospital, Southern Medical University

    RECRUITING

    Guangzhou, Guangdong, 510515, China

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