Deep Enhanced Imaging in Stroke and Vascular Neurology

Chinese PLA General Hospital (301 Hospital)

Status: Enrolling

Conditions: Radiology; Vascular Diseases; Cerebral Stroke

Treatments: Diagnostic Test: Deep learning imaging enhancement

Study type: Observational

Funder types: Other

Identifiers

NCT05614193

AI-301

Details and patient eligibility

About

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.

Full description

Early diagnosis of cerebral infarction, detection of ischemic penumbra, evaluation of collateral circulation and identification of vascular lesions by imaging are critical for treatment decision and outcome improvement in cerebral stroke. Multimodal computed tomography (CT) and magnetic resonance (MR) imaging are most prevalent and accessible approaches in clinical scenarios. These two approaches are downgraded either by radiation exposure or long scanning time which may hinder the rapid treatment for patients. Deep learning has shown substantial achievements in medical imaging enhancement. The added value of deep learning method in stroke and vascular neurology has not been thoroughly validated. In this study, we aimed 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.

Enrollment: 1,000 estimated patients

Sex: All

Ages: 18 to 100 years old

Volunteers: No Healthy Volunteers

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

Trial design

1,000 participants in 1 patient group

Imaging group

Description:

Participants with suspecting brain stroke or vascular lesion conducted conventional CT or MR imaging and deep enhanced imaging.

Treatment:

Diagnostic Test: Deep learning imaging enhancement