| Literature DB >> 25328872 |
Bum Joon Kim1, Hyun Goo Kang1, Hye-Jin Kim1, Sung-Ho Ahn1, Na Young Kim1, Steven Warach2, Dong-Wha Kang1.
Abstract
Although intravenous administration of tissue plasminogen activator is the only proven treatment after acute ischemic stroke, there is always a concern of hemorrhagic risk after thrombolysis. Therefore, selection of patients with potential benefits in overcoming potential harms of thrombolysis is of great importance. Despite the practical issues in using magnetic resonance imaging (MRI) for acute stroke treatment, multimodal MRI can provide useful information for accurate diagnosis of stroke, evaluation of the risks and benefits of thrombolysis, and prediction of outcomes. For example, the high sensitivity and specificity of diffusion-weighted image (DWI) can help distinguish acute ischemic stroke from stroke-mimics. Additionally, the lesion mismatch between perfusion-weighted image (PWI) and DWI is thought to represent potential salvageable tissue by reperfusion therapy. However, the optimal threshold to discriminate between benign oligemic areas and the penumbra is still debatable. Signal changes of fluid-attenuated inversion recovery image within DWI lesions may be a surrogate marker for ischemic lesion age and might indicate risks of hemorrhage after thrombolysis. Clot sign on gradient echo image may reflect the nature of clot, and their location, length and morphology may provide predictive information on recanalization by reperfusion therapy. However, previous clinical trials which solely or mainly relied on perfusion-diffusion mismatch for patient selection, failed to show benefits of MRI-based thrombolysis. Therefore, understanding the clinical implication of various useful MRI findings and comprehensively incorporating those variables into therapeutic decision-making may be a more reasonable approach for expanding the indication of acute stroke thrombolysis.Entities:
Keywords: Acute ischemic stroke; Magnetic resonance image; Thrombolysis
Year: 2014 PMID: 25328872 PMCID: PMC4200598 DOI: 10.5853/jos.2014.16.3.131
Source DB: PubMed Journal: J Stroke ISSN: 2287-6391 Impact factor: 6.967
Figure 1Common stroke mimics, identified in a systematic review and meta-analysis of case series.11
Figure 2DWI lesion patterns according to stroke subtypes. (A) Intracranial atherosclerotic stenosis, (B) extracranial atherosclerotic stenosis, (C) cardioembolism, and (D) aortic arch embolism.
Figure 3PWI-DWI mismatch (A), time-concentration curves (B and C) and various PWI parameters (D).
Figure 4Types of hemorrhagic transformation according to ECASS criteria.
Figure 5MRI markers predicting hemorrhagic transformation (A) Delayed gadolinium enhancement of the CSF space (arrows); (B) Parenchymal enhancement at post contrast T1-weighted image (arrow) and hemorrhagic transformation at the corresponding area at follow-up (arrow).
Figure 6Clot presented on gradient echo image (arrow) with long segment (A) and tortuous vessel (B).
Figure 7DWI-FLAIR mismatch: positive (A) and negative (B).
On-going clinical trial to expand the time-window of intra-venous thrombolysis
LNNT, last known normal time; FFAT, first found abnormal time; DWI, diffusion-weighted image; FLAIR, fluid attenuated inversion recovery; PWI, perfusion-weighted image; MRI, magnetic resonance image; ASPECT, Alberta stroke program early CT; NIHSS, National Institutes of Health Stroke Scale.
Recanalization grading system
TIMI, thrombolysis in myocardial infarction; TICI, thrombolysis in cerebral infarction; AOL, arterial occlusive lesion.
Basic principles and clinical implications of multimodal MRI
DWI, diffusion weighted image; FLAIR, fluid-attenuated inversion recovery image; GRE, gradient echo image; PWI, perfusion weighted image; MRA, magnetic resonance angiography; CT, computerized tomography.