Deep Enhanced Imaging in Stroke and Vascular Neurology

Study Overview
=================
Brief 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.

Detailed 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.

Official Title
-----------------
Deep Enhanced Imaging in Stroke and Vascular Neurology

Conditions
-----------------
Radiology, Cerebral Stroke, Vascular Diseases

Intervention / Treatment
-----------------
* Diagnostic Test: Deep learning imaging enhancement


Participation Criteria
=================
Eligibility 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

Ages Eligible for Study
-----------------
Minimum Age: 18 Years
Maximum Age: 100 Years

Sexes Eligible for Study
-----------------
All

Accepts Healthy Volunteers
-----------------
No

Study Plan
=================
How is the study designed?
-----------------

Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Imaging group<br>Participants with suspecting brain stroke or vascular lesion conducted conventional CT or MR imaging and deep enhanced imaging. | Diagnostic Test: Deep learning imaging enhancement<br>* Conventional imaging or down-sampling imaging from CT or MR are enhanced by approved deep learning method.<br>|

What is the study measuring?
-----------------
Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 | 

 Terms related to the study
=================
Keywords Provided by Centre Hospitalier Valida
-----------------
Deep learning, Medical imaging, Cerebral stroke, Cerebrovascular disease, Vascular imaging