Differentiating Between Brain Hemorrhage and Contrast

Summary

The goal of this observational study is to use artificial intelligence to differentiate cerebral hemorrhage from contrast agent extravasation after mechanical revascularization in ischemic stroke.

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.

Conditions

• Ischemic Stroke

Sponsors & Collaborators

• Hong Kong University of Science and Technology

  collaborator OTHER

• First Affiliated Hospital, Sun Yat-Sen University

  collaborator OTHER

• The Seventh Affiliated Hospital of Sun Yat-sen University

  collaborator OTHER

• Peking University Shenzhen Hospital

  collaborator OTHER

• The Third Affiliated Hospital of Guangzhou Medical University

  collaborator OTHER

• The Third Affiliated Hospital of Southern Medical University

  collaborator OTHER_GOV

• Shenshan Medical Center, Memorial Hospital of Sun Yat-sen University

  collaborator UNKNOWN

• Shantou Central Hospital

  collaborator OTHER

• Dongguan People's Hospital

  collaborator OTHER_GOV

• The First People's Hospital of Qinzhou

  collaborator UNKNOWN

• Guangdong 999 Brain Hospital

  collaborator OTHER

• Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

  lead OTHER

Eligibility

Min Age

18 Years

Max Age

100 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2023-09-30

Primary Completion

2024-07-31

Completion

2024-12-31