Importance of computed tomography perfusion on assessing collateral circulation and prognosis of patients with acute anterior circulation large vessel occlusion after endovascular therapy

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-08-01 DOI:10.1016/j.slast.2024.100139
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Abstract

This study probed the importance of computed tomography perfusion (CTP) on assessing collateral circulation and prognosis in patients with acute anterior circulation large vessel occlusion (AAC-LVO) after endovascular therapy (EVT). Retrospective analysis was performed on the case data of 124 AAC-LVO patients who achieved EVT in the First People's Hospital of Lianyungang. All patients received computed tomography (CT) examination. Based on the multi-phase computed tomography angiography (mCTA) score, patients were separated into poor collateral circulation group and good collateral circulation group. Based on modified Rankin scale (mRS) score, patients were separated into good prognosis group and poor prognosis group. The receiver operating characteristic (ROC) curve was used to measure the efficacy of CTP parameters in predicting good collateral circulation or good prognosis. Correlation between CTP parameters with mCTA collateral and 90-day mRS circulation score was analyzed using the Spearman correlation analysis. The age and admission national Institutes of Health stroke scale (NIHSS) scores of the good collateral circulation group were lower than the poor collateral circulation group, and low perfusion area volume with Tmax > 6 s (VTmax>6 s), infarct core area volume (VCBF<30 %)and hypoperfusion intensity ratio (HIR) were also lower. The mCTA collateral cycle score was negatively related to VTmax>6 s, VCBF<30 % and HIR. The area under the curve (AUC) values of VTmax>6 s and VCBF<30 % and HIR for predicting good collateral circulation were 0.763, 0.884 and 0.842, respectively, which suggested that perfusion parameters VTmax>6 s, VCBF<30 % and HIR could effectively indicate the status of patients’ collateral circulation. Relative to the poor prognosis group, patients in the good prognosis group possessed lower admission NIHSS score, younger age, smaller final infarct volume, lower HIR, VCBF<30 %, VTmax>6 s, Alberta Stroke Program Early CT(ASPECT) score, and higher mCTA score. Spearman correlation analysis unveiled that ASPECT score, mCTA score and 90-day mRS were negatively correlated. The final infarct volume, perfusion parameters HIR and VCBF<30 % were positively correlated with 90-day mRS. ROC analysis showed that all variates had good prognostic value for acute anterior circulation great vessel occlusion patients, while VCBF<30 % and HIR had high diagnostic value for prognosis. To sum up, CTP can provide a comprehensive imaging assessment of the collateral circulation of patients with AAC-LVO and has a higher predictive value for the prognosis assessment of patients with EVT in terms of VCBF<30 %, HIR score and mCTA collateral circulation score.

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计算机断层扫描灌注对评估急性前循环大血管闭塞患者侧支循环和血管内治疗后预后的重要性。
本研究探讨了计算机断层扫描灌注(CTP)对评估急性前循环大血管闭塞(AAC-LVO)患者血管内治疗(EVT)后侧支循环和预后的重要性。该研究对连云港市第一人民医院124例接受EVT治疗的AAC-LVO患者的病例数据进行了回顾性分析。所有患者均接受了计算机断层扫描(CT)检查。根据多相计算机断层扫描血管造影(mCTA)评分,将患者分为侧支循环不良组和侧支循环良好组。根据改良兰金量表(mRS)评分,将患者分为预后良好组和预后不良组。采用接收者操作特征曲线(ROC)来衡量 CTP 参数在预测侧支循环良好或预后良好方面的有效性。采用斯皮尔曼相关分析法分析了CTP参数与mCTA侧支和90天mRS循环评分之间的相关性。侧支循环良好组的年龄和入院时美国国立卫生研究院卒中量表(NIHSS)评分低于侧支循环不良组,Tmax>6 s的低灌注面积体积(VTmax>6s)、梗死核心面积体积(VCBF)和低灌注强度比(HIR)也低于侧支循环不良组。mCTA 侧支循环评分与 VTmax>6 s、VCBF 和 HIR 呈负相关。预测侧支循环良好的 VTmax>6 s、VCBF 和 HIR 的曲线下面积(AUC)值分别为 0.763、0.884 和 0.842,这表明灌注参数 VTmax>6 s、VCBF 和 HIR 能有效显示患者的侧支循环状况。与预后不良组相比,预后良好组患者入院时的NIHSS评分较低、年龄较小、最终梗死体积较小、HIR、VCBF、VTmax>6s、Alberta Stroke Program Early CT(ASPECT)评分较低、mCTA评分较高。斯皮尔曼相关分析表明,ASPECT评分、mCTA评分和90天mRS呈负相关。最终梗死体积、灌注参数 HIR 和 VCBF 与 90 天 mRS 呈正相关。ROC分析表明,所有变量对急性前循环大血管闭塞患者均有良好的预后价值,而VCBF和HIR对预后有较高的诊断价值。综上所述,CTP可对AAC-LVO患者的侧支循环进行全面的影像学评估,而且与VCBF、HIR评分和mCTA侧支循环评分相比,CTP对EVT患者的预后评估具有更高的预测价值。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
期刊最新文献
Model-Based Interactive Visualization for Complex Systems Requirements and Design in Joint Tests. Implementing enclosed sterile integrated robotic platforms to improve cell-based screening for drug discovery. Life Sciences Discovery and Technology Highlights. Notes on AEMS methods development for high throughput experimentation in drug discovery. Prosthesis repair of oral implants based on artificial intelligenc`e finite element analysis.
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