AI-assisted Diagnosis of Malignant Brain Tumors

NCT07198256 · tracked via the Priya Life Science China tracker

Sponsor

Second Affiliated Hospital, Zhejiang University, School of Medicine

Phase

Observational

Started

2025-09-01

Last updated

2025-09-30

Condition(s) studied

GliomasBrain Metastases, AdultLymphomaBrain Tumor Adult

Study summary

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

Sex

ALL

Min age

18 Years

Max age

100 Years

Healthy volunteers

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.

Primary outcome measure(s)

Construct an AI-assisted diagnostic system for multiple subtypes of brain tumors based on deep learning. — 30 days
Construct an AI-assisted diagnostic system for multiple subtypes of brain tumors based on deep learning, mainly including glioma, metastatic tumor and lymphoma.

Trial sites (2)

Facility	City	Region	Status
2nd Affiliated Hospital, School of Medicine, Zhejiang University	Hangzhou	Zhejiang	Recruiting
Zhejiang Cancer Hospital	Hangzhou	Zhejiang	Not Yet Recruiting

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Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07198256 on ClinicalTrials.gov ↗ ← All trials in China