Application of MRI-Based Artificial Intelligence Models for Preoperative Molecular Subtyping and Prognostic Assessment of Midline Gliomas: A Multicenter Prospective Clinical Study
Status: Recruiting
Location: See location...
Study Type: Observational
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
Participation Requirements
Sex: All
View:
• Patients with diffuse gliomas were pathologically and molecularly diagnosed.
• The clinical case data of all patients were complete.
• Patients underwent preoperative MRI examination.
Locations
Other Locations
China
Xiangya Hospital of Central South University
RECRUITING
Changsha
Contact Information
Primary
Gong Xuan, MD.
gong.xuan@csu.edu.cn
0086-731-8975-3037
Backup
Shuwen Kuang, MD.
228102171@csu.edu.cn
0086-13367494221
Time Frame
Start Date: 2026-05-10
Estimated Completion Date: 2030-12-31
Participants
Target number of participants: 500
Related Therapeutic Areas
Sponsors
Leads: Xiangya Hospital of Central South University