AI reads MRI scans to predict brain tumor type before surgery
NCT ID NCT07608003
First seen Jun 02, 2026 · Last updated Jun 10, 2026 · Updated 2 times
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.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for GLIOMA GLIOBLASTOMA MULTIFORME are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
Xiangya Hospital of Central South University
RECRUITINGChangsha, Hunan, 410008, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
Explore the condition pages connected to this study.
Conditions inferred from the trial description
These were inferred from the trial's summary, not listed by the trial registrant.