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Differentiating Between Brain Hemorrhage and Contrast

Ischemic Stroke Clinical Trial

Official title:
Artificial Intelligence for Differentiating Between Brain Hemorrhage and Contrast Extravasation After Mechanical Revascularization in Acute Ischemic Stroke

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06032819
Study type Observational
Source Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Contact Meiwei Chen
Phone +86 18898534109
Email chenmw7@mail.sysu.edu.cn
Status Not yet recruiting
Phase
Start date September 2023
Completion date December 2024
View Details
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