Deep Enhanced Imaging in Stroke and Vascular Neurology
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorChinese PLA General Hospital
About this trial
To investigate the performance of enhanced computed tomography (CT) or magnetic resonance (MR) imaging by deep learning relative to conventional CT or MR imaging in brain stroke and vascular neurology. We expect that the deep enhanced imaging method can shorten the time stay in the imaging session of stroke patients, optimize the overall imaging quality and improve the patients' care in imaging session.
Eligibility criteria
Qualifiers
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
Disqualifiers
severe movement artifacts
incidental finding of tumor lesion or craniocerebral surgery history
poor imaging failed to perform deep learning method
women who pregnancy
Trial design
Treatments tested in this trial
- Deep learning imaging enhancement
Treatment groups
1,000 Participants
are divided into 1 treatment groupSponsors and collaborators
Source ClinicalTrials.gov