Journal article
Hyperacute Cerebral Enhancement: The Earliest Predictor of Hemorrhage by MR Imaging?
Journal of neuroimaging, v 9(4)
Oct 1999
PMID: 10540604
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A test to detect very early hemorrhage in acute cerebral infarct could offer a substantial increase in the safety and success of advanced stroke therapies, particularly when the use of thrombolytic therapies is contemplated. Currently, computed tomography is the standard test for the detection of cerebral hemorrhage but is not a valid predictor of potential areas of hemorrhagic transformation. A technique to evaluate the risk of hemorrhagic transformation in infarcted cerebral tissue has been conducted with contrast‐enhanced magnetic resonance imaging in various animal stroke models. Knight demonstrated Gadolinium‐DTPA enhancement in the territory of occluded vessels immediately in rats after reperfusion. Gadolinium enhancement was thought to predict areas of hemorrhagic transformation. Yenari and associates demonstrated in rabbit models that contrast‐enhanced T1‐weighted scans can reveal regions of blood‐brain barrier disruption, characterized as hemorrhagic transformation in ischemic tissue. The authors report a clinical example in which hyperacute contrast‐enhanced magnetic resonance imaging was the first indication of hemorrhagic transformation within 24 hours of onset of an acute cerebral infarct.
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Details
- Title
- Hyperacute Cerebral Enhancement: The Earliest Predictor of Hemorrhage by MR Imaging?
- Creators
- Robert A. Koenigsberg - Department of Radiologic Sciences, MCP-Hahnemann University, Philadelphia, PA 19128, USA.Naveed Gul - Drexel UniversityScott FaroRobert Elfont - Drexel UniversityKim Baker - Drexel UniversityFong Tsai - Drexel University
- Publication Details
- Journal of neuroimaging, v 9(4)
- Publisher
- Wiley
- Number of pages
- 2
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Radiology (Radiologic Sciences)
- Web of Science ID
- WOS:000083033000008
- Scopus ID
- 2-s2.0-0032823638
- Other Identifier
- 991019167976104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Clinical Neurology
- Neuroimaging
- Radiology, Nuclear Medicine & Medical Imaging