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A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
Published on: September 16, 2017
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Is CT-Based Perfusion and Collateral Imaging Sensitive to Time Since Stroke Onset?
Smriti Agarwal1, Tomasz Matys2, S Tulasi Marrapu1
1Clinical Neurosciences, University of Cambridge , Cambridge , UK.
Frontiers in Neurology
|April 28, 2015
Summary
Perfusion CT imaging may detect a decrease in ischemic penumbra volume over time after acute stroke. Collateral status did not show a similar time-dependent relationship, suggesting potential applications for stroke assessment.
Area of Science:
- Neuroradiology
- Neuroimaging
- Stroke Imaging
Background:
- CT-based perfusion and collateral imaging are vital for acute stroke assessment.
- Time since stroke onset is crucial for thrombolysis eligibility and efficacy.
- Animal studies suggest ischemic penumbra volume diminishes over time.
Purpose of the Study:
- To evaluate if CT imaging can detect a relationship between perfusion or collateral status and time since stroke onset.
- To assess the impact of time on ischemic penumbra volume and collateral function in acute stroke patients.
Main Methods:
- 53 patients with proximal vessel occlusions underwent whole-brain CT perfusion (CTp) imaging.
- Penumbra and core volumes were defined using CT perfusion parameters (CBF, MTT, CBV).
- Collateral status was assessed using CT angiography (CTA); CTp ASPECTS scores were also calculated.
Main Results:
- Both penumbra fractions (PenCBF and PenMTT) showed a trend of decreasing with increasing time since stroke onset.
- The CBF/CBV ASPECTS ratio demonstrated a significant decrease over time.
- Collateral response did not show a significant relationship with time since stroke onset.
Conclusions:
- Perfusion CT imaging may reveal a time-dependent decrease in ischemic penumbra volume within 4.5 hours of stroke onset.
- No significant time-dependent relationship was observed for collateral status.
- Further studies with larger datasets are warranted to confirm these findings and explore applications for unknown stroke onset times.

