Actively Recruiting
Prospective Real-World Study of Pathology AI for Glioma Molecular Prediction
Led by Nanfang Hospital, Southern Medical University · Updated on 2025-12-04
2000
Participants Needed
1
Research Sites
260 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The goal of this clinical study is to learn if an artificial intelligence (AI) model can accurately predict important molecular changes in gliomas, a type of brain tumor, using digital pathology images. The main questions this study aims to answer are: How accurate is the AI model in predicting key molecular alterations compared with standard molecular testing? Can the AI model shorten the time needed for diagnosis and reduce the need for expensive molecular tests? Researchers will collect whole slide images from multiple hospitals and use the AI model to predict molecular results. The predictions will be compared with the actual test results from standard laboratory methods. Participants will: Allow the use of their pathology images and molecular test results for research. Have no additional treatments or procedures beyond standard medical care. This study will help determine whether AI-assisted tools can provide faster and lower-cost molecular diagnosis for glioma, improving patient care and supporting equal access to precision medicine.
CONDITIONS
Official Title
Prospective Real-World Study of Pathology AI for Glioma Molecular Prediction
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Participant (or legally authorized representative) has voluntarily signed the informed consent form.
- Age 18 years or older at the time of enrollment.
- Histologically suspected diffuse glioma based on biopsy or surgical resection.
- Availability of complete clinical information and usable digital pathology slides with hematoxylin and eosin (H&E) staining.
- Postoperative molecular pathology results available for comparison.
You will not qualify if you...
- Poor-quality pathology samples, such as insufficient tissue, large folding or contamination of slides, or substandard digital scanning quality.
- Determined by the investigator to be unsuitable for participation in the study for any reason.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Nanfang Hospital, Southern Medical University
Guangzhou, Guangdong, China, 510515
Actively Recruiting
Research Team
D
DANYI LI
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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