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Published on: June 11, 2019
Magnetic Resonance Perfusion Imaging Provides a Significant Tool for the Identification of Cardioembolic Stroke
Chun-Hsien Lin, Yuan-Hsiung Tsai, Jiann-Der Lee
1Department of Neurology, Chang Gung Memorial Hospital, 6 West Chia-Pu Road, Putz City, Chiayi County, Taiwan. yenchu.huang@msa.hinet.net.
Insights
Perfusion MRI effectively distinguishes cardioembolic stroke from large artery atherosclerosis. This imaging technique aids in identifying stroke mechanisms and classifying stroke types for better patient management.
Area of Science:
- Neurology
- Radiology
- Cardiology
Background:
- Ischemic stroke etiology remains unknown in approximately 25% of cases.
- Differentiating cardioembolic stroke from large artery atherosclerosis (LAA) is crucial for treatment.
- Advances in imaging are needed to clarify stroke mechanisms.
Purpose of the Study:
- To evaluate perfusion magnetic resonance imaging (MRI) for differentiating cardioembolic stroke from LAA.
- To assess the diagnostic performance of specific perfusion MRI parameters.
Main Methods:
- Prospective study of 17 cardioembolic and 22 LAA stroke patients.
- Perfusion MRI performed within 24 hours of stroke onset.
- Analysis of time to maximum of the residual curve (Tmax) volume ratios.
Main Results:
- Cardioembolic stroke patients exhibited higher initial severity and larger infarct volumes.
- Tmax volume ratios demonstrated excellent predictive value for cardioembolic stroke (AUC > 0.9).
- A (Tmax > 4s volume)/(Tmax > 8s volume) ratio threshold of 3.73 showed high sensitivity (87.5%) and specificity (94.4%).
Conclusions:
- Perfusion MRI is a reliable tool for identifying cardioembolic stroke.
- Lower collateral status in cardioembolic stroke is detectable via perfusion MRI.
- This technique provides valuable evidence for stroke classification and mechanism determination.
Abstract:
Despite advances in imaging techniques and detailed examinations to determine the etiology of a stroke, the cause still remains undetermined in about one fourth of all ischemic strokes. The aim of this prospective study was to determine whether perfusion magnetic resonance imaging (MRI) can differentiate cardioembolic stroke from large artery atherosclerosis (LAA). We recruited 17 cardioembolic stroke and 22 LAA stroke patients, who were classified according to the Trial of Org 10172 in Acute Stroke Treatment and underwent perfusion MRI within 24 hours after the onset of stroke. The patients with cardioembolic stroke had more severe initial stroke severity and larger volumes of initial and final infarct compared to those with LAA stroke. Receiver operating characteristic curve analysis showed that the ratio of time to maximum of the residual curve (Tmax) volume for a 2-, 3-, 4- or 5-s lag over Tmax volume for a 8s lag all had excellent area under the curve values (> 0.9) to predict cardioembolic stroke. After adjusting for initial National Institute of Health Stroke Scale scores, a threshold of 3.73 for (Tmax > 4s volume)/(Tmax > 8s volume) had the highest odds ratio to predict cardioembolic stroke (p=0.012; odds ratio: 58.5; 95% confident interval: 2.5-1391.1), with 87.5% sensitivity and 94.4% specificity. In conclusion, perfusion MRI could be a reliable tool to identify cardioembolic stroke with its lower collateral. This is important as it could be used to reveal the exact mechanism and provide supportive evidence to classify a stroke.
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