Multicenter Prospective Study on MRI AI Model for Midline Glioma Subtyping and Prognosis:
Application of MRI-Based Artificial Intelligence Models for Preoperative Molecular Subtyping and Prognostic Assessment of Midline Gliomas: A Multicenter Prospective Clinical Study
Xiangya Hospital of Central South University
500 participants
May 10, 2026
OBSERVATIONAL
Conditions
Summary
A vision-language model using preoperative MRI and clinical variables has been developed to simultaneously predict three key molecular markers in midline gliomas: H3K27M, IDH, and 1p/19q. This prospective multicenter study will validate the model's accuracy in preoperative molecular subtyping and its value in prognostic assessment and clinical decision-making across multiple neurosurgical centers.
Eligibility
Inclusion Criteria3
- Patients with diffuse gliomas were pathologically and molecularly diagnosed.
- The clinical case data of all patients were complete.
- Patients underwent preoperative MRI examination.
Exclusion Criteria2
- 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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Locations(1)
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NCT07608003