Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
500 participants
OBSERVATIONAL
2023-09-30
2024-12-31
Brief Summary
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The main question it aims to answer is: Whether artificial intelligence can help differentiate brain hemorrhage from contrast agent extravasation.
Patients with intracranial high-density lesions on CT scans within 24h after mechanical revascularization will be included. Expected to enroll 500 patients. The type of high-density lesion is determined according to dual-energy CT images or follow-up images. Patients will be divided into training group, validation and testing groups by stratified random sampling (6:2:2). After the images and the image labels are obtained, deep learning artificial intelligence will be used to learn the image characteristics and establish a diagnostic model, and the model performance and generalization ability will be evaluated.
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
RETROSPECTIVE
Study Groups
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hemorrhage
The result of the Intracranial hyper-density on CT images is determined by dual-energy CT or follow-up images: hyper-density can be seen on the virtual non-contrasted image of dual-energy CT, or high density persist longer than 48 hours.
No interventions assigned to this group
simple contrast extravasation
There is no Intracranial hyper-density on the virtual non-contrast images of dual-energy CT, or the follow-up CT show that the hyper-density is absorbed within 48 hours.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
100 Years
ALL
No
Sponsors
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Hong Kong University of Science and Technology
OTHER
First Affiliated Hospital, Sun Yat-Sen University
OTHER
The Seventh Affiliated Hospital of Sun Yat-sen University
OTHER
Peking University Shenzhen Hospital
OTHER
The Third Affiliated Hospital of Guangzhou Medical University
OTHER
The Third Affiliated Hospital of Southern Medical University
OTHER_GOV
Shenshan Medical Center, Memorial Hospital of Sun Yat-sen University
UNKNOWN
Shantou Central Hospital
OTHER
Dongguan People's Hospital
OTHER_GOV
The First People's Hospital of Qinzhou
UNKNOWN
Guangdong 999 Brain Hospital
OTHER
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
OTHER
Responsible Party
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Central Contacts
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Other Identifiers
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SYSKY-2023-865-01
Identifier Type: -
Identifier Source: org_study_id
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