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
This trial does not accept healthy volunteersQualifiers
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 population
Patients have experienced stroke or cerebral ischemia and undergone brain imaging and vascular imaging.
Trial design
Design model
Case-only
Time perspective
Prospective
Treatments tested in this trial
Deep learning imaging enhancement
Diagnostic testConventional imaging or down-sampling imaging from CT or MR are enhanced by approved deep learning method.
Treatment groups
1,000 Participants
are divided into 1 treatment groupGroup A: Imaging group1 intervention
Trial outcomes
Primary outcomes
1
The performance of deep enhanced imaging in lesion detection and diagnosis
The performance of deep enhanced imaging in lesion detection and diagnosis, including imaging quality, accuracy, sensitivity and specificity in lesion detection and imaging diagnosis.
Time frame
1 yearSponsors and contacts
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Source ClinicalTrials.gov