RECRUITINGOBSERVATIONAL
AI-assisted Diagnosis of Malignant Brain Tumors
Research on AI-assisted Diagnosis of Common Malignant Brain Tumors Based on Magnetic Resonance Imaging
About This Trial
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.
Who May Be Eligible (Plain English)
Who May Qualify:
- Patients diagnosed with glioma, brain metastases, and brain lymphoma by pathology, with the patient being at least 18 years old; preoperative MRI was complete.
Who Should NOT Join This Trial:
- Poor image quality; history of previous brain surgery or radiotherapy; accompanied by other intracranial lesions.
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
Inclusion Criteria:
* 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 Criteria:
* Poor image quality; history of previous brain surgery or radiotherapy; accompanied by other intracranial lesions.
Locations (2)
2nd Affiliated Hospital, School of Medicine, Zhejiang University
Hangzhou, Zhejiang, China
Zhejiang Cancer Hospital
Hangzhou, Zhejiang, China