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Early Change in Stroke Size Performs Best in Predicting Response to Therapy
Alexis Nétis Simpkins1, Christian Dias, Gina Norato
1Neuro Vascular Brain Imaging Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
Cerebrovascular Diseases (Basel, Switzerland)
|July 7, 2017
Summary
Early changes in stroke volume, not final infarct size or reperfusion, reliably predict treatment response in acute stroke patients. This imaging biomarker offers a more accurate measure of therapeutic efficacy.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- Acute stroke management requires reliable biomarkers to assess treatment response.
- Current biomarkers like final infarct volume and early reperfusion have limitations.
- Early fluctuations in stroke volume's potential as a biomarker are underexplored.
Purpose of the Study:
- To evaluate the clinical relevance of early changes in stroke volume.
- To compare early stroke volume changes with final infarct volume and early reperfusion.
- To determine the most effective imaging biomarker for predicting early neurologic improvement (ENI) in acute stroke.
Main Methods:
- Analysis of serial MRI scans (baseline, 2h, 24h) from 58 acute stroke patients receiving thrombolysis.
- Calculation of early stroke volume change, 24h infarct volume, and percent early reperfusion.
- Logistic regression and ROC analysis to compare biomarker efficacy for predicting ENI (≥4 NIHSS decrease within 24h).
Main Results:
- Early change in stroke volume significantly predicted ENI (OR 0.93, p=0.048), with a 10% decrease in ENI odds for every 1mL stroke volume increase.
- This association remained significant after controlling for stroke size and severity (OR 0.90, p=0.032).
- Neither 24h infarct volume nor percent early reperfusion showed significant association with ENI; ROC analysis confirmed early stroke volume change as the only significant biomarker (p=0.03).
Conclusions:
- Early changes in stroke volume are a more reliable imaging biomarker for predicting acute stroke treatment response.
- This finding suggests early stroke size fluctuation is superior to traditional measures.
- Utilizing early stroke volume changes can enhance therapeutic monitoring in acute stroke care.
Keywords:
Brain imagingBrain ischemiaDiffusion-weighted magnetic resonance imagingMagnetic resonance imagingStrokeMore Related Videos
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