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.
Eligibility criteria
Qualifiers
Patients diagnosed with glioma, brain metastases, and brain lymphoma by pathology, with the patient being at least 18 years old; preoperative MRI was complete.
Disqualifiers
Poor image quality; history of previous brain surgery or radiotherapy; accompanied by other intracranial lesions.
Trial design
Treatments tested in this trial
- Not listed
Trial groups
Locations
2Sponsors and collaborators
Second Affiliated Hospital, School of Medicine, Zhejiang University
Lead sponsor
Zhejiang Cancer Hospital
Collaborator