JOURNAL ARTICLE
Role of Susceptibility Weighted Imaging (SWI) in Comparison to Magnetic Resonance Angiography in Assessment of the Intra-Arterial Thrombus in Patients with Acute Ischemic Stroke.
Published In: QJM: An International Journal of Medicine, 2024, v. 117. P. ii400 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Mohamed Ismaeel, Gehan Mohamed; Ahmed Khater, Nivan Hany; Kamal Barakat, Mai Mokhtar 3 of 3
Abstract
The article focuses on evaluating the role of Susceptibility Weighted Imaging (SWI) compared to Magnetic Resonance Angiography (MRA) in detecting intra-arterial thrombus in patients with acute ischemic stroke. In a study of 30 patients within 24 hours of stroke symptom onset, SWI demonstrated high sensitivity, specificity, and accuracy relative to MRA across major intracranial arteries, with no significant difference in thrombus detection rates between the two methods. SWI also allowed measurement of thrombus length, which MRA could not fully delineate. The findings suggest that incorporating SWI into stroke imaging protocols can complement MRA for improved assessment of thrombus location and extent in acute ischemic stroke patients.
Additional Information
- Source:QJM: An International Journal of Medicine. 2024/10, Vol. 117, pii400
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2024
- ISSN:1460-2725
- DOI:10.1093/qjmed/hcae175.919
- Accession Number:181636536
- Copyright Statement:Copyright of QJM: An International Journal of Medicine is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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