AI-assisted Diagnosis of Malignant Brain Tumors
About this study
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.
- Condition
- Gliomas, Brain Metastases, Adult, Lymphoma, Brain Tumor Adult
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Who can join
- Age
- 18 to 100 years
- Sex
- All sexes
- Healthy volunteers
- Not accepted
Inclusion 4
- Minimum age: 18 years
- Maximum age: 100 years
- Study condition: Gliomas, Brain Metastases, Adult, Lymphoma, Brain Tumor Adult
- Patients diagnosed with glioma, brain metastases, and brain lymphoma by pathology, with the patient being at least 18 years old; preoperative MRI was complete.
Exclusion 1
- Poor image quality; history of previous brain surgery or radiotherapy; accompanied by other intracranial lesions.
Where
2 sites, 2 recruiting
2nd Affiliated Hospital, School of Medicine, Zhejiang University
Hangzhou, Zhejiang, China
Zhejiang Cancer Hospital
Hangzhou, Zhejiang, China
Contact
-
Chao Wang, MD
8613706518691 wangchaosmart@zju.edu.cn
Potential match only. Final eligibility is determined by the study team.