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

This trial does not accept healthy volunteers

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 population

Retrospectively collected cases of malignant brain tumors (including gliomas, brain metastases, and brain lymphomas) that were confirmed by histopathology and had preoperative multimodal MRI images (mainly including CE-T1WI and T2-FLAIR) over the past 10 years.

Trial design

Design model

Case-control

Time perspective

Retrospective

Treatments tested in this trial

Not listed

Trial groups

3,000 Participants
are grouped into 1 trial group
Group A: malignant brain tumors

Trial outcomes

Primary outcomes

1

Construct an AI-assisted diagnostic system for multiple subtypes of brain tumors based on deep learning.

Construct an AI-assisted diagnostic system for multiple subtypes of brain tumors based on deep learning, mainly including glioma, metastatic tumor and lymphoma.

Time frame
30 days

Secondary outcomes

Other outcomes

Sponsors and contacts

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