Colour-coded collateral and venous outflow patterns in estimating infarct progression and predicting functional independence for stroke patients in late time window

Author:

Lin Yu123ORCID,Xing Zhen14,Lv Shaomao2356,Yang Xiefeng14,Kang Jianghe23,Kang Nannan2,Wang Jinan23,Cao Dairong1478ORCID

Affiliation:

1. Department of Radiology, the First Affiliated Hospital of Fujian Medical University , Fuzhou 350005, China

2. Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University , Xiamen 361004, China

3. Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University , Xiamen 361004, China

4. Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University , Fuzhou 350212, China

5. School of Clinical Medicine, Fujian Medical University , Fuzhou 350005, China

6. The Third Clinical Medical College, Fujian Medical University , Fuzhou 350005, China

7. Fujian Provincial Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University , Fuzhou 350005, China

8. Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, the First Affiliated Hospital, Fujian Medical University , Fuzhou 350005, China

Abstract

Abstract Objectives To investigate whether cerebral collateral and venous outflow (VO) patterns on colour-coded multi-phase computed tomography angiography (mCTA) can estimate ischaemic core growth rate (IGR) and predict 90-day functional independence for patients with late-presenting acute ischaemic stroke (AIS). Methods The retrospective analysis included 127 AIS patients with a late time window. All patients underwent baseline mCTA with colour-coded reconstruction and computed tomography perfusion. Both collateral score and VO score on colour-coded mCTA maps were analysed and recorded. The IGR was calculated as ischaemic core volume divided by the time from onset to imaging. A 90-day modified Rankin Scale score of 0-2 was defined as functional independence. Kendall’s Tau-b analysis was used for nonparametric correlation analysis. Propensity scores, logistic regressions, and receiver operator characteristic (ROC) curves were applied to construct the prediction model. Results Moderate correlations were found between collateral delay and IGR (Tau-b = -0.554) and between VO and IGR (Tau-b = -0.501). High collateral score (odds ratio = 3.01) and adequate VO (odds ratio = 4.89) remained independent predictors for 90-day functional independence after adjustment. The joint predictive model, which integrated the VO score and clinical features, demonstrated an area under the ROC curve (AUC) of 0.878. The AUCs of collateral score and VO score were 0.836 and 0.883 for outcome prediction after adjustment. Conclusions Cerebral collateral and VO patterns based on colour-coded mCTA can effectively predict infarct progression and 90-day clinical outcomes, even for AIS patients beyond the routine time window. Advances in knowledge Colour-coded mCTA is a readily understandable post-processing technique for the rapid assessment of collateral circulation and VO status in stroke imaging. A moderate correlation was observed between the characteristics of collateral delay/VO on colour-coded mCTA and IGR in patients with AIS. Both high-quality collateral circulation and “red superficial middle cerebral vein sign” can predict 90-day functional independence even for patients beyond the routine time window.

Funder

National Natural Science Foundation of China

Leading Project of the Department of Science and Technology of Fujian Province

Natural Science Foundation of Fujian Province

Scientific and Technological Planning Project of Xiamen

Publisher

Oxford University Press (OUP)

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