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Intracranial Thrombus Morphology and Composition Undergoes Time-Dependent Changes in Acute Ischemic Stroke: A CT
Slaven Pikija1, Jozef Magdic2, Vladimir Trkulja3
1Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University, 5020 Salzburg, Austria. s.pikija@salk.at.
International Journal of Molecular Sciences
|November 26, 2016
Summary
Cerebral artery clots change over time in acute ischemic stroke, showing decreased density and size within 5 hours. Lower clot size correlated with higher fibrinogen levels, impacting stroke treatment.
Area of Science:
- Neurology
- Radiology
- Biochemistry
Background:
- Acute ischemic stroke is often caused by cerebral artery clots.
- Understanding clot changes is crucial for effective treatment.
- Time-dependent alterations in clot morphology and composition are not fully characterized.
Purpose of the Study:
- To investigate time-dependent changes in the morphology and composition of cerebral artery clots in acute ischemic stroke.
- To correlate these changes with time from symptom onset, clinical severity, stroke etiology, and laboratory parameters.
Main Methods:
- Retrospective chart review of 2565 patients admitted within 5 hours of symptom onset to three European stroke centers.
- Analysis of non-contrast-enhanced CT (NECT) scans for hyperdense artery signs (HAS).
- Evaluation of clot occlusion site, density (HU), area, and relative density (rHU) in relation to time.
Main Results:
- A time-dependent loss of clot density was observed in the M1 segment within the first 5 hours (p=0.01).
- Thrombus area in the M2 segment showed a decrease over time (p=0.02).
- Lower clot area, particularly in the M2 segment, was associated with higher fibrinogen levels (p=0.009).
Conclusions:
- Intracranial thrombi exhibit significant time-dependent changes in density and area within the initial 5 hours of acute ischemic stroke.
- These findings highlight the dynamic nature of clots and their potential association with specific biomarkers like fibrinogen.
- Further research can leverage these insights for improved stroke diagnosis and therapeutic strategies.

