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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Diagnostic Impact of Intracranial Vessel Wall MRI in 205 Patients with Ischemic Stroke or TIA
J D Schaafsma1, S Rawal2, J M Coutinho2,3
1From the Division of Neurology, Department of Medicine (J.D.S., J.R., C.J., F.L.S.).
Insights
Intracranial vessel wall MR imaging significantly changed the cause classification for over half of ischemic stroke patients. This impacts treatment decisions by providing a more accurate diagnosis of stroke etiology.
Area of Science:
- Neurology
- Radiology
- Cardiovascular Imaging
Background:
- Secondary stroke prevention relies on identifying the cause of ischemic events.
- Standard diagnostic methods frequently fail to pinpoint a specific cause or reveal multiple potential etiologies.
Purpose of the Study:
- To evaluate how intracranial vessel wall MR imaging influences the etiological classification of ischemic stroke.
Main Methods:
- A retrospective analysis of 205 patients undergoing vessel wall MR imaging for stroke/TIA etiology clarification.
- Stroke etiology was classified by an expert panel before and after incorporating vessel wall MR imaging findings.
- Changes in etiological classification proportions were measured.
Main Results:
- Vessel wall MR imaging altered the etiological classification in 55% of patients.
- Classifications of intracranial arteriopathy not otherwise specified decreased significantly (31% to 4%), while intracranial atherosclerotic disease increased (23% to 57%).
- Initial classification as intracranial arteriopathy not otherwise specified predicted a higher likelihood of classification change.
Conclusions:
- Intracranial vessel wall MR imaging frequently alters stroke/TIA etiology classification.
- Accurate etiological classification is crucial for guiding therapeutic decisions in stroke management.
Background And Purpose:
Secondary prevention of ischemic stroke depends on determining the cause of the initial ischemic event, but standard investigations often fail to identify a cause or identify multiple potential causes. The purpose of this study was to characterize the impact of intracranial vessel wall MR imaging on the etiologic classification of ischemic stroke.
Materials And Methods:
This was a single-center, retrospective study of 205 consecutive patients who were referred for vessel wall MR imaging to clarify the etiology of an ischemic stroke or TIA. An expert panel classified stroke etiology before and after incorporating vessel wall MR imaging results using a modified Trial of Org 10172 in Acute Stroke Treatment system. We measured the proportion of patients with an altered etiologic classification after vessel wall MR imaging.
Results:
The median age was 56 years (interquartile range = 44-67 years), and 51% (106/205) of patients were men. Vessel wall MR imaging altered the etiologic classification in 55% (112/205) of patients. The proportion of patients classified as having intracranial arteriopathy not otherwise specified decreased from 31% to 4% (64/205 versus 9/205; P < .001) and the proportion classified as having intracranial atherosclerotic disease increased from 23% to 57% (48/205 versus 116/205; P < .001). Conventional work-up classification as intracranial arteriopathy not otherwise specified was an independent predictor of vessel wall MR imaging impact (OR = 8.9; 95% CI, 3.0-27.2). The time between symptom onset and vessel wall MR imaging was not a predictor of impact.
Conclusions:
When vessel wall MR imaging is performed to clarify the etiology of a stroke or TIA, it frequently alters the etiologic classification. This is important because the etiologic classification is the basis for therapeutic decision-making.
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