Deep Enhanced Imaging in Stroke and Vascular Neurology

Vascular Diseases Clinical Trial

Official title:

Deep Enhanced Imaging in Stroke and Vascular Neurology

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT05614193
• Other study ID #: AI-301
• Status: Recruiting
• Start date: December 1, 2022
• Est. completion date: December 31, 2027

Study information

• Verified date: February 2023
• Source: Chinese PLA General Hospital
• Contact: Jinhao Lyu
• Phone: +8615903562929
• Email: 330322990[@]qq.com
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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.

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 1000
• Est. completion date: December 31, 2027
• Est. primary completion date: December 31, 2027
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 100 Years

Eligibility

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

Related Conditions & MeSH terms

• Cerebral Stroke
• Radiology
• Stroke
• Vascular Diseases

Intervention

Diagnostic Test:
• Deep learning imaging enhancement
Conventional imaging or down-sampling imaging from CT or MR are enhanced by approved deep learning method.

Locations

Country	Name	City	State
China	Chinese PLA General Hospital	Beijing	Beijing

Sponsors (1)

Lead Sponsor	Collaborator
Chinese PLA General Hospital

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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.	1 year