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Application of Neuroimaging for the Prediction of Hemorrhagic Transformation after Intravenous Thrombolysis in Acute Ischemic Stroke.
- Source :
-
Cerebrovascular diseases (Basel, Switzerland) [Cerebrovasc Dis] 2023; Vol. 52 (1), pp. 1-10. Date of Electronic Publication: 2022 Jun 03. - Publication Year :
- 2023
-
Abstract
- Background: Ischemic stroke is a common cerebrovascular disease with high morbidity, disability, and mortality worldwide. Currently, recombinant tissue plasminogen activator is the main intravenous thrombolysis agent for the treatment of acute ischemic stroke within 4.5 h after onset. Hemorrhagic transformation (HT) is the most serious complication of intravenous thrombolysis, which can significantly aggravate clinical poor prognosis. Therefore, it is important to early predict the risk of post-thrombolysis HT in patients with acute ischemic stroke.<br />Summary: Recently, several studies have reported that neuroimaging techniques have potential value in predicting HT after intravenous thrombolysis in patients with acute ischemic stroke. The corresponding neuroimaging parameters may be effective predictors of HT after intravenous thrombolysis. In this review, we summarized and discussed the application of neuroimaging techniques and related parameters in predicting HT after intravenous thrombolysis.<br />Key Messages: Recognizing and understanding the predictive performance of neuroimaging parameters for HT may help assess the risk of HT after intravenous thrombolysis in patients with acute ischemic stroke and make an appropriate treatment decision.<br /> (© 2022 S. Karger AG, Basel.)
- Subjects :
- Humans
Tissue Plasminogen Activator
Thrombolytic Therapy adverse effects
Fibrinolytic Agents
Hemorrhage chemically induced
Neuroimaging
Stroke diagnostic imaging
Stroke drug therapy
Ischemic Stroke drug therapy
Brain Ischemia diagnostic imaging
Brain Ischemia drug therapy
Brain Ischemia complications
Subjects
Details
- Language :
- English
- ISSN :
- 1421-9786
- Volume :
- 52
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Cerebrovascular diseases (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 35661647
- Full Text :
- https://doi.org/10.1159/000524749