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

IF 1.8 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING British Journal of Radiology Pub Date : 2024-06-18 DOI:10.1093/bjr/tqae104
Yu Lin, Zhen Xing, Shaomao Lv, Xiefeng Yang, Jianghe Kang, Nannan Kang, Jinan Wang, Dairong Cao
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引用次数: 0

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.

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彩色编码侧支和静脉流出模式在估计脑梗塞进展和预测中风患者晚期功能独立性方面的作用。
研究目的研究彩色编码多相计算机断层扫描血管造影(mCTA)上的脑侧支和静脉流出模式能否估计缺血核心生长率(IGR)并预测晚期急性缺血性卒中(AIS)患者的90天功能独立性:回顾性分析包括127例晚期时间窗的AIS患者。所有患者都接受了基线 mCTA 彩色编码重建和计算机断层扫描灌注。分析并记录了彩色编码 mCTA 图上的侧支评分和静脉流出量(VO)评分。IGR 的计算方法是缺血核心体积除以从发病到成像的时间。90 天改良兰金量表评分 0-2 分被定义为功能独立。Kendall's Tau-b 分析用于非参数相关性分析。应用倾向评分、逻辑回归和接受者操作特征曲线构建预测模型:侧支延迟与 IGR(Tau-b = -0.554)之间以及 VO 与 IGR(Tau-b = -0.501)之间存在中度相关性。经调整后,高侧支评分(几率比 = 3.01)和充足的 VO(几率比 = 4.89)仍是 90 天功能独立性的独立预测因素。综合了 VO 评分和临床特征的联合预测模型的 ROC 曲线下面积(AUC)为 0.878。经过调整后,侧支评分和VO评分的结果预测AUC分别为0.836和0.883:结论:基于彩色编码 mCTA 的大脑侧支和 VO 模式可有效预测梗死进展和 90 天临床预后,即使对超出常规时间窗的 AIS 患者也是如此:彩色编码 mCTA 是一种易于理解的后处理技术,可在脑卒中成像中快速评估侧支循环和 VO 状态。在急性缺血性卒中患者中,观察到彩色编码 mCTA 上的侧支延迟/VO 特征与 IGR 之间存在适度的相关性。高质量侧支循环和 "红色大脑浅中静脉征 "都能预测 90 天后的功能独立性,即使是超出常规时间窗的患者。
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来源期刊
British Journal of Radiology
British Journal of Radiology 医学-核医学
CiteScore
5.30
自引率
3.80%
发文量
330
审稿时长
2-4 weeks
期刊介绍: BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences. Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896. Quick Facts: - 2015 Impact Factor – 1.840 - Receipt to first decision – average of 6 weeks - Acceptance to online publication – average of 3 weeks - ISSN: 0007-1285 - eISSN: 1748-880X Open Access option
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