Using AI to improve detection and prediction of cerebral aneurysms
Official title: Artificial Intelligence Applications for Cerebral Aneurysms Segmentation, Detection and Stability Prediction: a Stepwise, Multicenter Study
Run by Shanghai Jiao Tong University Affiliated Sixth People's Hospital · NCT06766422 · Data updated 2026-11-12
This study is testing whether using artificial intelligence can help doctors find and predict the risk of unruptured brain aneurysms more accurately to better protect patients.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 10000 (estimated) |
| Sponsor | Shanghai Jiao Tong University Affiliated Sixth People's Hospital Academic / other |
| Locations | 1 site (Shanghai) |
| Status | Recruiting |
| Started | January 10, 2025 |
| Main results expected | June 30, 2026 |
| Study ends | June 30, 2027 |
| Registry record updated | June 3, 2025 |
| Trial ID | NCT06766422 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 and older who have been diagnosed or show symptoms of a cerebral aneurysm and are undergoing relevant imaging procedures.
✕Probably not a fit
Patients with other intracranial vascular diseases or those who have had previous intracranial interventions may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study focuses on the application of artificial intelligence models to enhance the segmentation, detection, and stability prediction of unruptured cerebral aneurysms. By utilizing advanced imaging techniques like magnetic resonance angiography (MRA) and computed tomography angiography (CTA), the study aims to improve diagnostic accuracy and identify high-risk aneurysms that are more likely to rupture. This approach seeks to alleviate the workload of diagnostic physicians while ensuring timely intervention for patients at risk of aneurysmal subarachnoid hemorrhage.
Why it matters
Potential benefit: If successful, this study could lead to more accurate identification of high-risk cerebral aneurysms, potentially reducing the incidence of ruptures and improving patient outcomes.
How similar studies have gone: While the use of AI in medical imaging is a growing field, this specific application for cerebral aneurysms is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Age ≥ 18 years; 2. Preliminary diagnosis or symptoms indicating the presence or potential presence of a cerebral aneurysm; 3. Undergoing a non-contrast head MRA or contrast-enhanced head/neck CTA; 4. The patient or their legal representative is able and willing to sign an informed consent form. Exclusion Criteria: 1. Other intracranial vascular diseases: moyamoya disease, arteriovenous malformations, arteriovenous fistulas, arterial occlusions, and arterial dissections; 2. History of intracranial arterial interventions: stent placement, partial aneurysm coil treatment, etc.; 3. Severe allergy to contrast agents or absolute contraindications to iodine-based contrast agents; 4. Renal insufficiency with elevated serum creatinine (greater than twice the upper normal limit); 5. MRI contraindications: pacemakers, claustrophobia, etc.; 6. Diseases or conditions that affect the quality of CTA/MRA images; 7. Inability to complete the study due to psychiatric disorders, cognitive, or emotional disturbances. Note: The CTA sub-study does not include exclusion criterion 5; the MRA sub-study does not include exclusion criteria 3 and 4.
Where it's running
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Shanghai Sixth People's Hospital, Shanghai, 200023
Shanghai, China Recruiting
Study contacts
- Study coordinator: Yueqi Zhu
- Email: zhuyueqi@hotmail.com
- Phone: +86-21-66301136
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.