AI technology for improving treatment of acute ischemic stroke
Segmentation and Modeling for Accurate Reconstruction of CT Angiography of Intracranial Large Vessel Occlusion with Artificial Intelligence: a Stepped-wedge, Cluster-randomized Controlled Trial
NA · Shanghai Jiao Tong University Affiliated Sixth People's Hospital · NCT06645405
This study is testing a new AI tool to see if it can help doctors get better images of blocked blood vessels in patients with acute ischemic stroke, making it easier and faster to treat them.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 174 (estimated) |
| Ages | 18 Years to 95 Years |
| Sex | All |
| Sponsor | Shanghai Jiao Tong University Affiliated Sixth People's Hospital (other) |
| Locations | 2 sites (Shanghai, Shanghai Municipality and 1 other locations) |
| Trial ID | NCT06645405 on ClinicalTrials.gov |
What this trial studies
This study evaluates an artificial intelligence (AI) algorithm designed to enhance the reconstruction of CT angiography (CTA) images for patients suffering from acute ischemic stroke caused by large vessel occlusion. The goal is to improve the accuracy of endovascular thrombectomy procedures by reducing the time taken for the first pass through the occluded segment. The study employs a prospective, stepped-wedge cluster-randomized design to assess the clinical utility of the AI algorithm in real-world settings. By integrating this technology into the care flow for acute ischemic stroke, the researchers aim to address challenges faced during treatment.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older who present with symptoms of acute ischemic stroke and are found to have an intracranial large vessel occlusion eligible for endovascular treatment.
Not a fit: Patients with severe motion artifacts in their CT imaging may not benefit from this study due to the inaccuracy of the AI algorithm in such cases.
Why it matters
Potential benefit: If successful, this approach could significantly improve the outcomes for patients with acute ischemic stroke by facilitating quicker and more effective treatment.
How similar studies have performed: While the use of AI in medical imaging is a growing field, this specific application for acute ischemic stroke treatment is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Male or Female, 18 years of age or older. 2. Patients who present with signs and/or symptoms concerning acute ischemic stroke. 3. Patients who undergo noncontrast CT and CT angiography imaging. 4. Patients determined to have an intracranial large vessel occlusion (including the internal carotid artery, middle cerebral artery M1 segment, and M2 segment), and eligible for endovascular treatment. Exclusion Criteria 1\) CT imaging with severe motion artifacts.
Where this trial is running
Shanghai, Shanghai Municipality and 1 other locations
- Shanghai Sixth People's Hospital — Shanghai, Shanghai Municipality, China (ACTIVE_NOT_RECRUITING)
- Shanghai Sixth People's Hospital — Shanghai, China (RECRUITING)
Study contacts
- Study coordinator: Yueqi Zhu
- Email: zhuyueqi@hotmail.com
- Phone: +86-21-66301136
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Acute Ischemic Stroke, Artificial Intelligence, Endovascular Thrombectomy, CT Angiography