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Published on: January 7, 2018
Hypoperfusion ratio predicts infarct growth during transfer for thrombectomy
Adrien Guenego1, Michael Mlynash1, Soren Christensen1
1Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
Automated assessment of collateral blood flow using the hypoperfusion intensity ratio (HIR) on CT perfusion can predict infarct growth in stroke patients during transfer. A HIR of 0.5 or higher indicates significant infarct growth, guiding treatment decisions.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- Stroke management requires timely reperfusion therapy.
- Transferring patients between stroke centers can delay treatment.
- Predicting infarct growth during transfer is crucial for optimizing care.
Purpose of the Study:
- To evaluate if automated collateral assessment on computed tomography (CT) perfusion can predict infarct growth rate.
- To determine the utility of the hypoperfusion intensity ratio (HIR) in guiding clinical decisions during inter-facility stroke transfer.
Main Methods:
- Retrospective analysis of 28 patients undergoing endovascular stroke treatment transfer.
- Assessment of collateral status using the hypoperfusion intensity ratio (HIR) on pre-transfer CT perfusion scans.
- Correlation of HIR with infarct growth rate and analysis using receiver operating characteristic (ROC) curves.
Main Results:
- Infarct growth rate strongly correlated with HIR (r=0.78, p<0.001).
- HIR ≥ 0.5 predicted significant infarct growth (median growth 10.1 ml/h vs 0.9 ml/h, p<0.001).
- Patients with HIR ≥ 0.5 had an 83% probability of significant core growth, while those with HIR < 0.5 had an 88% probability of core stability.
Conclusions:
- Automated CT perfusion collateral assessment, specifically HIR, effectively predicts infarct growth during inter-facility transfer.
- HIR ≥ 0.5 is a reliable indicator for significant infarct expansion in transfer patients.
- These findings may inform decisions on repeat brain imaging after transfer to a comprehensive stroke center.
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