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Prediction of thrombolytic efficacy in acute ischemic stroke using thin-section noncontrast CT

Authors
 E. Y. Kim  ;  J. H. Heo  ;  S-K Lee  ;  D. J. Kim  ;  S-H Suh  ;  J. Kim  ;  D. I. Kim 
Citation
 NEUROLOGY, Vol.67(10) : 1846-1848, 2006 
Journal Title
 NEUROLOGY 
ISSN
 0028-3878 
Issue Date
2006
MeSH
Aged ; Aged, 80 and over ; Blood Platelets/diagnostic imaging ; Blood Platelets/pathology ; BraiIschemia/diagnostic imaging* ; Brain Ischemia/drug therapy ; Brain Ischemia/physiopathology ; Cerebral Arteries/diagnostic imaging* ; Cerebral Arteries/drug effects ; Cerebral Arteries/physiopathology ; Drug Resistance/physiology ; Erythrocytes/diagnostic imaging ; Erythrocytes/pathology ; Female ; Fibrinolytic Agents/adverse effects ; Fibrinolytic Agents/pharmacology* ; Humans ; Intracranial Thrombosis/diagnostic imaging* ; Intracranial Thrombosis/drug therapy ; Intracranial Thrombosis/physiopathology ; Male ; Middle Aged ; Models, Biological ; Patient Selection ; Polyethylene ; Predictive Value of Tests ; Preoperative Care ; Stroke/diagnostic imaging* ; Stroke/drug therapy ; Stroke/physiopathology ; Tissue Plasminogen Activator/adverse effects ; Tissue Plasminogen Activator/pharmacology ; Tomography, X-Ray Computed/methods* ; Tomography, X-Ray Computed/standards ; Tomography, X-Ray Computed/trends ; Treatment Outcome
Keywords
All Cerebrovascular disease/Stroke ; CT ; Infarction
Abstract
Thin-section noncontrast CT (NCT) can detect thrombi in large arteries and can provide a measure of thrombus composition based on Hounsfield Units (HU). A study using polyethylene tubes as a model of intracranial arteries concluded that the HUs of platelet-rich thrombi are lower than those of erythrocyte-rich thrombi. Thrombus HUs were measured by NCT in 34 patients with acute ischemic stroke before thrombolysis. Thrombi with lower HU counts were resistant to thrombolytics.
Full Text
http://www.neurology.org/content/67/10/1846.long
DOI
10.1212/01.wnl.0000244492.99737.a8
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Ik(김동익)
Kim, Dong Joon(김동준) ORCID logo https://orcid.org/0000-0002-7035-087X
Kim, Eung Yeop(김응엽)
Kim, Jinna(김진아) ORCID logo https://orcid.org/0000-0002-9978-4356
Suh, Sang Hyun(서상현) ORCID logo https://orcid.org/0000-0002-7098-4901
Lee, Seung Koo(이승구) ORCID logo https://orcid.org/0000-0001-5646-4072
Heo, Ji Hoe(허지회) ORCID logo https://orcid.org/0000-0001-9898-3321
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/110881
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