Actively Recruiting
Research on AI-assisted Diagnosis of Common Malignant Brain Tumors Based on Magnetic Resonance Imaging
Led by Second Affiliated Hospital, School of Medicine, Zhejiang University · Updated on 2025-09-30
3000
Participants Needed
2
Research Sites
156 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
Researchers are building a large-scale MRI database focused on malignant brain tumors, including gliomas, brain metastases, and lymphomas. The study aims to develop an artificial intelligence (AI) system using deep learning to segment and classify multiple brain tumor subtypes. This approach seeks to improve non-invasive preoperative diagnosis accuracy and reduce the need for biopsies, addressing limitations in current methods due to small sample sizes and limited classification performance. The study collects retrospective data from two main centers, gathering 3,000 cases confirmed by histopathology with preoperative multimodal MRI scans, mainly CE-T1WI and T2-FLAIR images taken on 3.0T or 1.5T MRI machines. The AI system is designed to automatically segment complex tumor tissues and assist in diagnosing common malignant brain tumors. This deep learning-based diagnostic tool aims to enhance the accuracy of brain tumor classification and support clinical decision-making. Participants' MRI images and pathology results are used to build the AI-assisted diagnostic system within 30 days. The study involves reviewing and analyzing imaging data retrospectively without active treatment. Researchers focus on constructing and validating the AI system to improve auxiliary diagnosis for brain malignancies. The total participation involves providing access to imaging and diagnostic information, with no additional procedures required from patients.
CONDITIONS
Brief 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
- Age 18 years or older
- Complete preoperative MRI scans including CE-T1WI and T2-FLAIR images
You will not qualify if you...
- Poor image quality
- 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
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
Duration - Up to 10 years retrospective data
Retrospective collection and analysis of preoperative multimodal MRI images for confirmed malignant brain tumor cases.
Duration - Approximately 30 days
Development and validation of an AI-assisted diagnostic system for multiple subtypes of brain tumors based on deep learning.
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
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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