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Updated: Sep 17, 2025

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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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Quantitative insights into stroke recovery utilizing delayed vessel ratio from color-coded multiphase computed
Yu Lin1,2,3, Xiaoxiao Zhang2, Zhen Xing1
1Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Frontiers in Neurology
|July 3, 2025
Summary
Color-coded multiphase CT angiography (cmCTA) quantifies arterial and venous collateral flow in acute ischemic stroke (AIS). This technique accurately predicts functional outcomes, improving treatment decisions for AIS patients.
Area of Science:
- Neuroradiology
- Medical Imaging Analysis
- Stroke Research
Background:
- Acute ischemic stroke (AIS) involves large vessel occlusion, necessitating assessment of collateral blood flow.
- Color-coded multiphase computed tomography angiography (cmCTA) visualizes temporal dynamics of collateral circulation.
- Current methods often lack quantitative assessment of arterial and venous collaterals.
Purpose of the Study:
- To quantitatively assess arterial and venous collateral flow using cmCTA in AIS patients.
- To evaluate the predictive capability of cmCTA parameters for functional outcomes in AIS.
- To explore cmCTA's role in refining stroke assessment and treatment decisions.
Main Methods:
- Retrospective analysis of AIS patients with large vessel occlusion undergoing cmCTA.
- Calculation of collateral ratio and delayed vessel ratio (DVR) for arterial collaterals.
- Assessment of deep venous outflow (DVO) and superficial venous outflow (SVO) scores for venous collaterals.
- Logistic regression and propensity score analysis for outcome prediction.
Main Results:
- Well-developed arterial collaterals (low DVR) and adequate venous collaterals (high DVO/SVO) correlated with better functional outcomes (p < 0.001).
- Adjusted DVR demonstrated strong predictive performance (AUC 0.81-0.90) for functional independence and excellent recovery.
- Adjusted DVO also showed high predictive accuracy (AUC 0.88) for functional independence and excellent recovery.
- Prediction models exhibited good precision and net benefit.
Conclusions:
- cmCTA provides quantitative metrics (DVR, DVO, SVO) for collateral assessment in AIS.
- These quantitative measures offer an advantage over conventional grayscale CT imaging (e.g., ASPECT score).
- cmCTA-derived parameters can enhance pre-treatment collateral evaluation and post-treatment outcome prediction in AIS, aiding clinical decision-making.
Keywords:
collateral circulationcomputed tomography angiographydelayed vessel ratiostrokevenous outflow
