AI-assisted Diagnosis of Malignant Brain Tumors

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorSecond Affiliated Hospital, School of Medicine, Zhejiang University

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

3,000 Participants
are grouped into 1 trial group

Locations

2
2nd Affiliated Hospital, School of Medicine, Zhejiang University310009, HangzhouZhejiang, China
Zhejiang Cancer Hospital310022, HangzhouZhejiang, China

Sponsors and collaborators

Second Affiliated Hospital, School of Medicine, Zhejiang University

Lead sponsor

Zhejiang Cancer Hospital

Collaborator