Actively Recruiting
Histopathology Images Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence
Led by The First Affiliated Hospital of Zhengzhou University · Updated on 2021-02-08
3000
Participants Needed
1
Research Sites
543 weeks
Total Duration
On this page
Sponsors
T
The First Affiliated Hospital of Zhengzhou University
Lead Sponsor
S
Sun Yat-sen University
Collaborating Sponsor
AI-Summary
What this Trial Is About
This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and images of HE slices in primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine histopathology image based algorithms that are able to predict molecular pathology or subgroups of gliomas.
CONDITIONS
Official Title
Histopathology Images Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients must have radiologically and histologically confirmed diagnosis of primary glioma
- Life expectancy of greater than 3 months
- Must receive tumor resection
- Signed informed consent
You will not qualify if you...
- No gliomas
- No sufficient amount of tumor tissues for detection of molecular pathology
- Patients who are pregnant or breast feeding
- Patients who are suffered from severe systematic malfunctions
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China, 450052
Actively Recruiting
Research Team
Z
Zhenyu Zhang, Dr.
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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