Testing an MRI Computer Model for Subtyping and Outlook in Midline Glioma
Checks if an MRI-based computer model can predict molecular markers in midline gliomas.
Plain-language title generated from the registry record
Registry title: Multicenter Prospective Study on MRI AI Model for Midline Glioma Subtyping and Prognosis:
Key facts
- Where
- Changsha, ChinaSee the site
Where in China
- Xiangya Hospital of Central South UniversityChangsha, ChinaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Xiangya Hospital of Central South University
- Trial code
- NCT07608003
- Record updated
- 27 May 2026
- Original description
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.Read full original descriptionShow less
Application of MRI-Based Artificial Intelligence Models for Preoperative Molecular Subtyping and Prognostic Assessment of Midline Gliomas: A Multicenter Prospective Clinical Study
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.
Inclusion: Patients with diffuse gliomas were pathologically and molecularly diagnosed; The clinical case data of all patients were complete; Patients underwent preoperative MRI examination.
Exclusion: The tumor is not located in the intracranial midline; Cases in which MRI were incomplete or with significant noise and artifacts.