Evidence map›Paper›PMID 40606133›Full record

ArticleFrontiers in neurology2025

Quantitative insights into stroke recovery utilizing delayed vessel ratio from color-coded multiphase computed tomography angiography.

Yu Lin, Xiaoxiao Zhang, Zhen Xing, Xiefeng Yang, Qingwen Tong, Shaomao Lv, Jinan Wang, Dairong Cao

Abstract read
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Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yu Lin *Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Xiaoxiao Zhang *Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Clinical Medicine of Fujian Medical University, Xiamen, China.
Zhen XingDepartment of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Xiefeng YangDepartment of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Qingwen TongDepartment of Health Examination, Xiamen Humanity Hospital Fujian Medical University, Xiamen, China.
Shaomao LvDepartment of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Clinical Medicine of Fujian Medical University, Xiamen, China.
Jinan WangDepartment of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Clinical Medicine of Fujian Medical University, Xiamen, China.
Dairong CaoDepartment of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: The color-coded multiphase computed tomography angiography (cmCTA) is an accredited technique that employs color-coding to visually depict the temporal dynamics of collateral blood flow in patients with acute ischemic stroke (AIS). This research aimed to assess the quantification of cmCTA in AIS patients for characterizing arterial and venous collateral flow, and predicting functional outcomes. Methods: A retrospective study was performed on a consecutive cohort of AIS patients with large vessel occlusion who underwent cmCTA scan and reconstruction. Collateral ratio and delayed vessel ratio (DVR) were determined through semi-automatic delineation and calculation on the anterior cerebral artery regions and Alberta Stroke Program Early CT (ASPECT) Score regions of cmCTA maps. Deep venous outflow (DVO) and superficial venous outflow (SVO) scores were assessed using a 6-point scale. Logistic regression and propensity score were applied to confounding factors adjustment and model construction. Receiver operating characteristic curve, calibration curve, and decision curve analysis were utilized to evaluate the prediction model of functional independence and excellent recovery. Results: Well-developed arterial collaterals as depicted by low DVR and adequate venous collaterals as indicated by high DVO or SVO were correlated with better outcomes (All Conclusion: The application of DVR and other parameters in cmCTA offers a quantitative perspective on the conventional ASPECT scoring scheme utilizing grayscale CT images. DVR from cmCTA may enhance pre-treatment collateral assessment and post-treatment outcome prediction in AIS, facilitating informed treatment decisions.

Indexed as

collateral circulationcomputed tomography angiographydelayed vessel ratiostrokevenous outflow

Identifiers

PMID40606133
PMCPMC12214355

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