Actively Recruiting
AI-assisted Diagnosis of Malignant Brain Tumors
Led by Second Affiliated Hospital, School of Medicine, Zhejiang University · Updated on 2025-09-30
3000
Participants Needed
2
Research Sites
173 weeks
Total Duration
On this page
Sponsors
S
Second Affiliated Hospital, School of Medicine, Zhejiang University
Lead Sponsor
Z
Zhejiang Cancer Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
This study aims to establish a large-scale, multi-center MRI database for malignant brain tumors. It will develop an artificial intelligence system for the segmentation and classification of multiple subtypes of brain tumors (including glioma, metastatic tumor and lymphoma et al.) using deep learning technology. This will address the issues of small sample sizes and limited classification performance in existing methods, thereby improving the accuracy of non-invasive preoperative diagnosis, reducing the need for biopsies, and having significant clinical translational value.
CONDITIONS
Official Title
AI-assisted Diagnosis of Malignant Brain Tumors
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients diagnosed with glioma, brain metastases, or brain lymphoma confirmed by pathology
- Patient is at least 18 years old
- Complete preoperative MRI including CE-T1WI and T2-FLAIR scans
You will not qualify if you...
- Poor quality MRI images
- History of previous brain surgery or radiotherapy
- Presence of other intracranial lesions
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
2nd Affiliated Hospital, School of Medicine, Zhejiang University
Hangzhou, Zhejiang, China, 310009
Actively Recruiting
2
Zhejiang Cancer Hospital
Hangzhou, Zhejiang, China, 310022
Not Yet Recruiting
Research Team
C
Chao Wang, MD
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
1
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