Enhanced imaging techniques for stroke diagnosis
Deep Enhanced Imaging in Stroke and Vascular Neurology
This study is testing whether new advanced imaging techniques can help doctors diagnose strokes faster and more accurately in patients who might have had a stroke.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1000 (estimated) |
| Ages | 18 Years to 100 Years |
| Sex | All |
| Sponsor | Chinese PLA General Hospital Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Beijing, Beijing Municipality) |
| Trial ID | NCT05614193 on ClinicalTrials.gov |
What this trial studies
This study investigates the effectiveness of deep learning-enhanced computed tomography (CT) and magnetic resonance (MR) imaging compared to conventional imaging methods in patients suspected of having a stroke or cerebral ischemia. The goal is to improve the speed and quality of imaging, which is crucial for timely treatment decisions in stroke care. By utilizing advanced deep learning techniques, the study aims to reduce the time patients spend in imaging sessions while enhancing the overall imaging quality. This could lead to better patient outcomes in vascular neurology.
Who should consider this trial
Good fit: Ideal candidates are adults aged 18 and older who are suspected of having experienced a stroke or cerebral ischemia and require brain imaging.
Not a fit: Patients with severe movement artifacts, a history of tumor lesions or craniocerebral surgery, or those who are pregnant may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly improve the speed and accuracy of stroke diagnosis, leading to better patient care.
How similar studies have performed: While deep learning has shown promise in medical imaging, the specific application in stroke and vascular neurology is still being validated, making this approach relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * suspecting to have experienced stroke or cerebral ischemia and needed to undergo brain imaging and vascular imaging including CT or MRI * no history of kidney failure * a minimum age of 18 years * obtained written informed consent Exclusion Criteria: * severe movement artifacts * incidental finding of tumor lesion or craniocerebral surgery history * poor imaging failed to perform deep learning method * women who pregnancy
Where this trial is running
Beijing, Beijing Municipality
- Chinese PLA General Hospital — Beijing, Beijing Municipality, China (Recruiting)
Study contacts
- Study coordinator: Jinhao Lyu
- Email: 330322990@qq.com
- Phone: +8615903562929
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.