AI reads MRI scans to predict brain tumor type before surgery
NCT ID NCT07608003
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing whether an artificial intelligence (AI) model can accurately predict the molecular subtype of midline gliomas (a type of brain tumor) using MRI scans taken before surgery. Researchers will compare the AI's predictions with standard lab tests after surgery to see how well it works. The goal is to help doctors choose the best treatment plan without needing a biopsy first. The study will involve 500 patients across multiple 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
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About 500 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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May 2026
An estimate. Start dates often move.
- Expected to finish
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Dec 2030
An estimate. End dates often move.
- Lead sponsor
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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
Patients with diffuse gliomas located in the intracranial midline.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
Show the full entry requirements Hide 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: * Patients with diffuse gliomas were pathologically and molecularly diagnosed. * The clinical case data of all patients were complete. * Patients underwent preoperative MRI examination. Exclusion Criteria: * The tumor is not located in the intracranial midline. * Cases in which MRI were incomplete or with significant noise and artifacts.
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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.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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
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Xiangya Hospital of Central South University
RECRUITINGChangsha, Hunan, 410008, China
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Other studies related to the condition(s) this trial covers.
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